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[AI Research Div.] Foundation Model Evaluation Eng...
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. Foundation Model Evaluation 팀은 우리 파운데이션 모델과 글로벌 프론티어 LLM을 다각도로 진단하여, 모델 개발의 방향성을 데이터에 기반해 제시하는 역할을 합니다. 벤치마크는 측정 축이 다양하고 점수만으로는 모델의 실질 역량을 판별하기 어렵기 때문에, 우리는 모델이 실제로 어디서 강하고 약한지를 깊이 있게 분석하고 그 결과를 모델 개선으로 연결하는 평가 체계를 구축합니다. 글로벌 프론티어가 주목하는 표준 벤치마크와 실제 사용 맥락을 반영한 자체 평가셋을 함께 운영하며 모델 동향을 추적합니다. 평가 결과를 모델·데이터팀과 공유하여 기술 로드맵과 데이터 전략 수립에 직접 기여합니다. 우리 팀과 함께할 미션을 소개합니다. Foundation Model Evaluation 팀의 Engineer로서 하게 될 일은 다음과 같습니다: - 우리 모델이 집중해야 할 역량과 타겟을 정의하여 모델 개발 전체의 방향성을 제시합니다. - 데이터 contamination에 영향을 받지 않고 모델의 실질 역량을 측정할 수 있는 신규 벤치마크를 설계·구축합니다. - 프론티어 모델과 우리 모델을 진단하여, 새로운 모델이 등장할 때 적합성을 빠르게 판단하고 기술 의사결정을 지원합니다. - 데이터·모델팀과 긴밀히 협업하여 데이터의 약점과 모델 설계의 개선점을 도출·전달합니다. - 대규모 평가를 안정적으로 실행·관리하는 평가 파이프라인·플랫폼을 개발하고, 평가 결과와 인사이트를 중앙화합니다. - 연구 성과를 Tech Report 또는 NeurIPS, ICLR, ICML, ACL, EMNLP 등 탑티어 학회에 논문·워크숍 형태로 발표합니다. 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 딥러닝 관련 분야 전공 석/박사 졸업 이상 혹은 이에 준하는 연구 경력 - AI 모델 평가·분석 또는 ML/NLP 토픽으로 AI/ML 탑티어 학회(NeurIPS, ICLR, ICML, ACL, EMNLP 등) 논문 작성을 경험하신 분 - 데이터를 하나하나 들여다보며 인사이트를 도출하는 집중력을 갖추신 분 - 복잡한 실험 설정, 결과 분석을 명확하게 문서화하고 공유할 수 있는 커뮤니케이션 능력을 갖추신 분 - 새로운 domain에 빠르게 적응할 수 있는 분 - 원활하게 업무 커뮤니케이션 하실 수 있는 분 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - AI/ML 탑티어 학회(NeurIPS, ICLR, ICML, ACL, EMNLP 등) 발표/수상 경험이 있으신 분 - AI 모델 평가를 위한 데이터 수집·생성·정제를 직접 수행해 보신 분 - 평가 벤치마크 또는 평가 툴킷을 직접 설계·구축해 보신 분 - Agentic flow를 설계·개발해 보신 분 - 대규모 평가 파이프라인·분산 실행 환경 등 평가 인프라를 구축·운영해 보신 분 - 여러 사이즈의 LLM등의 Foundation Model을 많이 써보신 경험이 있으신 분 - 레슨런을 효과적이고 효율적으로 전파·논의할 수 있는 의사소통 역량을 갖추신 분 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > 전화 인터뷰 (Phone Interview) > 직무 테스트 (Pre-test, Take Home Test) > 직무면접 (Technical Fit Interview) > 합격 및 입사 - 상시 채용으로 채용 완료 시 조기 마감될 수 있습니다. - 필요 시, 인터뷰 및 직무 테스트가 추가될 수 있습니다. - 전형 일정 및 합격 또는 불합격 결과는 지원서에 등록하신 이메일 또는 유선으로 개별 안내 드립니다. 필요 서류를 확인해주세요! - 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오 (선택) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 (선택) 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 성수 고용형태 - 인턴 (3개월) 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
[AI Research Div.] AI Companion Team Internship (2...
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. [AI Research 본부 비전] 크래프톤 AI Research 본부는 사내외 여러 분야와 협업 하여 다양한 문제에 대한 AI 솔루션을 제공하며, 자체 딥러닝 기술 연구를 통해 우리만의 서비스를 개발합니다. 그 방향성은 크게 두 가지입니다. - 게임 제작에 도움이 될 수 있는 딥러닝 기술 개발을 통한 게임 제작 효율성 및 보편성 증대. - 고유의 딥러닝 기술을 개발하여 이를 게임 내/외적으로 다양한 어플리케이션으로 적용. [R&D] AI Companion Team은 KRAFTON 내부 게임에서 LLM, SLM, VLM을 적용해 유저와 상호작용하고, 전략 수립 및 협동이 가능한 AI Companion 을 개발합니다. - 실시간 게임 환경에서 AI 에이전트가 플레이어와 한 팀이 되어 함께 호흡하며 몰입도 높은 플레이 경험을 제공하는 것을 목표로 합니다. - 게임 상황을 스스로 파악하고, 유저에게 선제적인 가이드를 제공함으로써 안정적인 적응을 돕는 것을 목표로 합니다. - 최적화된 모델 설계부터 운영까지 전 과정을 주도적으로 수행합니다. - 프로젝트 소개 영상 [Culture Fit] AI Research 본부 인원들은 본인 분야에만 묶여있지 않고 서로 다른 프로젝트 팀원들과 교류 및 협업하여 다양한 문제에 창의적인 아이디어를 제시 할 수 있습니다. 다양한 문화적 배경을 가진 인원들이 모여 팀을 이루고 있으며 활발한 소통을 위해 언어적 장벽을 해소해줄 수 있는 방법들을 적극 지원하고 있습니다. 우리 팀과 함께할 미션을 소개합니다. - LLM, SLM, VLM , Human-AI Interaction 등 최신 AI 기술을 활용해 혁신적인 게임 플레이 경험을 설계합니다. - 게임 환경에서 발생하는 실시간 상호작용 과 대규모 동시 접속 환경에 대응하기 위해, 텍스트 및 비주얼 입력을 처리하는 다양한 언어/멀티모달 모델의 연산 효율을 최적화합니다. - 게임 디자이너, 엔지니어 등과 협업하여 실제 게임 프로젝트에 AI Companion을 적용하고, 플레이어 경험 향상을 목표로 공동 작업을 수행합니다. - 사용자 데이터 및 게임 로그 분석을 통해 모델 개선을 위한 피드백 루프를 구축하고 지속적으로 개선합니다. 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 인공지능(AI), 컴퓨터공학, 혹은 관련 기술 분야에서 현재 석사 혹은 박사 학위 과정을 밟고 있는 분 - LLM, SLM, VLM 중 하나 이상의 프로젝트 경험이 있는 분 - PyTorch 등 Deep Learning 프레임워크 활용 경험이 있는 분 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - 저명 학회(NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL 등)에서 1저자 논문 게재, 수상 등 탁월한 연구 업적이 있는 분 - vLLM, llama-cpp, SGLang 등을 활용한 언어모델 서빙 경험이 있는 분 - LLama Index, LangGraph 등의 프레임워크 활용 경험 있는 분 - 멀티모달 학습 및 추론 경험이 있는 분 - 타 직군(게임 기획, 아트, 사업 등)과의 원활한 커뮤니케이션 스킬을 갖추고 있는 분 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > 사전 인터뷰 (Phone Interview) > *직무 테스트 (Pre-Test) > 직무 면접 (Technical Fit Interview) > 종합 면접 (Culture Fit Interview) > 학/경력, 평판조회 > 처우협의 > 최종 합격 및 입사 *해당 전형은 포지션에 따라 변동될 수 있습니다. - 각 전형의 세부 진행 방식은 개별 안내드립니다. - 필요 시 직무 테스트 또는 면접 전형이 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내드립니다. - 전형 결과는 지원서에 기재된 이메일로 2주 이내 발송되며, 내부 일정에 따라 다소 지연될 경우 별도 안내드립니다. - 본 공고는 상시채용으로 진행되며, 우수 인재 채용 시 조기 마감될 수 있습니다. 필요 서류를 확인해주세요! - 입사지원서 (CV 형식/ 가이드라인 ), 자기소개서, 경력기술서, 포트폴리오 (필수) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 역삼 센터필드 고용형태 - 인턴 (3개월, 정규직 전환 비대상) 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
[AI Research Div.] '26, '27년 전문연구요원 신규편입 (경력무관)
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. ※ 본 공고는 2026년, 2027년도 전문연구요원 현역 신규편입 대상입니다. 조건 부적합 시 불합격으로 안내드리는 점 참고 부탁드립니다. AI Research 본부에 대한 더 많은 내용은 크래프톤 AI Research 본부 홈페이지 (아래 이미지 클릭) 및 크래프톤 AI Research 본부 소개 영상 을 통해 확인하실 수 있습니다. (바로가기 : KRAFTON AI ) 우리 팀(프로젝트)을 소개합니다. 지난 2021년부터 크래프톤은 우리가 가진 게임 제작역량을 새롭게 확장할 수 있는 영역이자 새로운 도전을 지속할 분야로 딥러닝을 제시하고 해당 분야 연구에 집중하고 있으며, 본격화를 위하여 핵심 인재 영입 등 적극적인 투자를 진행하고 있습니다. [AI Research 본부 비전] 크래프톤 AI Research 본부는 게임과 비게임 분야를 위한 자체 AI 핵심 기술을 연구 개발하여, 기존 사업의 경쟁력을 강화하는 동시에 AI 기술의 사업화를 지원하며 새로운 가치와 혁신을 창출합니다: - Multimodal Foundation Model, AI Agent 등 차세대 AI 핵심 기술을 연구·개발하여 게임과 현실 세계에서 사람과 자연스럽게 상호작용하는 지능형 Agent를 구현합니다. - AI 기술을 게임 개발과 서비스는 물론 다양한 산업 분야에 적용하여 제작 혁신, 새로운 사용자 경험, AI 기반 서비스와 사업 기회를 창출합니다. [ AI Research R&D] [Foundation Model R&D] Foundation Model Research 실은 AI Research 본부의 비전을 바탕으로 Multimodal LLM, World Model 등 Foundation Model 핵심 기술을 연구·개발하여, 새로운 플레이 경험을 만드는 데 기여합니다. - 텍스트, 이미지, 오디오, 게임 로그 등 다양한 데이터를 다루는 파운데이션 모델을 설계·구축합니다. - 대규모 분산 학습 환경에서 모델 아키텍처, 학습 알고리즘, 데이터 파이프라인, 평가 전 과정에 대해 이론적·실무적 통찰을 축적합니다. [AI for Games R&D] AI for Games R&D 실은 AI 기능들을 실제 게임에 도입 가능한 형태로 변형하여 적용하는 R&D에 집중하고 있으며, 크게 아래의 3가지 분야에 대해 집중하고 있습니다. - Applied AI Agents & Foundation Models - LLM, SLM, VLM 등 Foundation Model을 활용하여 플레이어 및 게임 세계와 자연스럽게 상호작용하는 AI Agent를 연구개발합니다. Agent Architecture , Context Engineering, Tool Use, RAG, Evaluation , Inference Optimization등 최신 Applied AI 기술을 활용하여 AI Companion, NPC, 콘텐츠 생성 등 실제 게임 서비스에 적용 가능한 AI 시스템을 개발합니다. - Reinforcement Learning (RL) - 복잡한 게임 환경에서 스스로 학습하고 전략을 발전시키는 RL 기술을 연구합니다. 대규모 시뮬레이션, Self-play , Multi-Agent Learning , 정책 최적화 및 평가 기술을 통해 실제 게임에 적용 가능한 학습 시스템을 개발합니다. - Machine Learning (ML) - 플레이어 행동 분석, 추천, 예측, 이상 탐지 등 다양한 ML 기술을 연구·개발합니다. 대규모 데이터 처리부터 모델 학습, 평가, 배포 및 운영까지 End-to-End ML 시스템을 구축하여 게임 서비스의 품질과 운영 효율을 향상시킵니다. [Culture Fit] AI Research 본부 인원들은 다양한 프로젝트를 통하여 여러 분야의 팀원들과 교류하고 협업하며 다양한 문제에 창의적인 아이디어를 제시할 수 있습니다. 나이 및 직급에 관계없이 자유롭게 의견을 개진하는 분위기가 장려됩니다. 다양한 문화적 배경을 가진 인원들이 모여 팀을 이루고 있으며 활발한 소통을 위해 통·번역 등 언어적 장벽을 해소할 수 있는 방법들을 적극 지원하고 있습니다. 우리 팀과 함께할 미션을 소개합니다. 크래프톤의 AI 연구 조직에서는 다양한 연구 주제를 기반으로 게임 및 인터랙티브 콘텐츠에 적용 가능한 AI 기술을 연구합니다. 본 포지션은 지원자분의 연구 경험과 전문성을 바탕으로, 인터뷰 과정에서 적합한 연구 조직 및 프로젝트를 함께 논의한 후 최종 팀 배정이 이루어집니다. [ Foundation Model Research] - 대규모 Multimodal LLM, World Model 학습 및 선행 연구를 진행합니다. - 모델 성능 향상을 위한 Modeling / Data / Evaluation pipeline을 고도화 합니다. - 연구 성과를 Tech Report 혹은 NeurIPS, ICLR, ICML 등 탑티어 학회에 논문·워크숍 등의 형태로 발표합니다. [AI for Games R&D ] - AI Agent, Foundation Model, RL, ML 기술을 실제 게임에 적용 가능한 시스템으로 R&D하여 , 새로운 플레이 경험과 게임 제작 및 운영 혁신을 만듭니다. - 게임 환경과 서비스 요구사항에 맞는 Agent 구조, 학습-추론-평가 방법론 및 End-to-End AI Pipeline을 고도화합니다. - 게임 프로젝트와의 긴밀한 협업을 통해 연구 성과를 프로토타입부터 실제 서비스까지 검증 및 적용하고, 재사용 가능한 핵심 기술과 플랫폼으로 확장합니다. - 실제 게임 환경에서 축적한 문제 정의, 기술적 통찰 및 적용 성과를 Tech Report , 논문, 특허, 오픈소스 등의 형태로 공유하여 기술 경쟁력을 강화합니다. 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - '26- ‘ 27 년도 내 전문연구요원으로 입사(현역 신규 편입) 가능하신 분 - 딥러닝 관련 분야 전공 석/박사 졸업 이상 혹은 이에 준하는 연구 경력 - AI/ML 탑티어 학회 ( NeurIPS, ICLR, ICML 등) 관련 분야 탑티어 저널 논문 작성을 경험하신 분 - 연구를 주도할 수 있으며 딥러닝 관련 논문을 통해 빠르게 이해하고 실험 설계할 수 있는 능력 - Transformer, Diffusion 등 최신 딥러닝 모델 관련 개발 혹은 프로젝트 경험 - 새로운 domain에 빠르게 적응할 수 있는 분 - 원활한 업무 커뮤니케이션 능력 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - AI/ML 탑티어 학회 (NeurIPS, ICLR, ICML 등) 관련 분야 탑티어 학회 발표/수상 경험이 있으신분 - 20B 이상 대규모 Foundation Model에 대한 학습/배포 경험이 있으신분 [안내사항] 본 포지션은 지원자분의 연구 경험과 전문성을 바탕으로, 인터뷰 과정에서 적합한 연구 조직 및 프로젝트를 함께 논의한 후 최종 팀 배정이 이루어집니다. 2027년도 전문연구요원 신규편입 지원자의 경우, 병역법 제36조 및 병역법 시행령 제77조 등 배정 절차에 의거하여 배정인원 (TO) 확보 여부에 따라 편입 가능 여부가 최종적으로 결정됩니다. 따라서, 본 공고를 통한 최종 합격은 전문연구요원 배정인원(TO) 확보를 조건으로 하며, 당사 TO가 확보되지 않는 경우 편입(채용)이 이루어지지 않을 수 있는 점을 미리 안내드립니다. 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > 사전 인터뷰 (Phone Interview) > *직무 테스트 (Pre-Test) > 직무 면접 (Technical Fit Interview) > 종합 면접 (Culture Fit Interview) > 학/경력, 평판조회 > 처우협의 > 최종 합격 및 입사 *해당 전형은 포지션에 따라 변동될 수 있습니다. - 각 전형의 세부 진행 방식은 개별 안내드립니다. - 필요 시 직무 테스트 또는 면접 전형이 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내드립니다. - 전형 결과는 지원서에 기재된 이메일로 2주 이내 발송되며, 내부 일정에 따라 다소 지연될 경우 별도 안내드립니다. - 본 공고는 상시채용으로 진행되며, 우수 인재 채용 시 조기 마감될 수 있습니다. 필요 서류를 확인해주세요! - 입사지원서 (CV 형식/ 가이드라인 ), 자기소개서, 경력기술서, 포트폴리오 (필수) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 역삼 센터필드 West 타워 고용형태 - 정규직 (단, 후보자 처우 협의 결과에 따라 고용형태가 변경될 수 있음) 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
[AI Frontier Div.] Senior UI/UX Designer (7년 이상)
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. AI Frontier 본부는 크래프톤의 핵심 AI 기술 역량을 실질적인 사업 성과로 연결하는 실행 중심 조직입니다. 6개 Squad가 각각의 사업을 빠르게 실험하고 스케일업합니다. 빠른 실행과 데이터 기반 의사결정을 통해 제품을 지속적으로 개선하며, 디자인을 단순한 화면 설계가 아닌 제품 성장의 핵심 역량으로 생각합니다. 서비스의 방향성을 함께 고민하고 사용자 경험을 주도적으로 설계할 수 있는 시니어 UI/UX 디자이너를 찾고 있습니다. 우리 팀과 함께할 미션을 소개합니다. Product UX Design - 사용자 문제를 정의하고 이를 해결하기 위한 UX 전략 수립 - 사용자 여정(User Journey), 정보 구조(IA), 사용자 흐름(User Flow) 설계 - 신규 서비스 및 기능의 UX 기획부터 UI 디자인까지 End-to-End 수행 - 데이터 기반으로 사용성 개선 및 UX 최적화 Product UI Design - 웹/모바일 서비스 UI 설계 및 고도화 - 디자인 시스템 구축 및 운영 - 일관성 있는 인터랙션 및 컴포넌트 설계 - 개발팀과 협업하여 디자인 품질 관리 Cross-functional Collaboration - PM, 개발자, AI 엔지니어와 긴밀한 협업 - 제품 전략 수립 과정에 적극 참여 - 디자인 의사결정을 문서화하고 조직 내 공유 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - UI/UX 디자인 경력 7년 이상 - 웹 또는 모바일 서비스의 UX 설계 경험 - 사용자 중심 문제 해결 경험 - Figma 활용 능력 및 협업 경험 - 디자인 시스템 구축 또는 운영 경험 - 개발자와의 협업 경험 및 구현 가능성에 대한 이해 - 데이터 기반 의사결정 경험 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - AI/LLM 기반 서비스 디자인 경험 - 스타트업 또는 초기 제품 구축 경험 - UI/UX Design System 구축 경험 - A/B 테스트 및 실험 설계 경험 - Frontend(HTML/CSS/React) 이해도 보유 - 글로벌 서비스 디자인 경험 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > 전화 인터뷰 (Phone Interview) > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사 - 상시채용으로 우수 인재 채용 시 조기에 마감될 수 있습니다. - 전형별 합격자에 대해 지원서에 등록하신 이메일 혹은 유선으로 개별 안내 드립니다. - 전화 인터뷰의 경우, 필수 전형이 아닌 필요에 따라 진행되는 선택 전형임을 사전 안내 드립니다. 이에 대한 상세 내용은 개별 안내 드립니다. - 필요 시 면접은 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내 드립니다. 필요 서류를 확인해주세요! - 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필수) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기를 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해주시기를 바랍니다. 근무지 - 역삼 센터필드 West 타워 고용형태 - 전문계약직 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
[AI Frontier Div.] Product Owner (7년 이상)
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. AI Frontier 본부는 크래프톤이 보유한 AI 기술과 선행 R&D 자산을 기반으로 새로운 제품과 사업을 만드는 조직입니다. AI는 지금 이 순간에도 사회의 많은 영역에서 균열과 새로운 기회를 동시에 만들고 있습니다. 크래프톤은 https://www.krafton.ai/ 에서 확인할 수 있는 것처럼 선도적인 AI 기술력을 확보하고 있으며, 이를 기반으로 다양한 사업화 기회를 모색하고 있습니다. 우리는 크래프톤이 보유한 AI 기술을 바탕으로 게임과 비게임 영역을 아우르며 고객에게 가치를 제공하는 서비스를 구현하는 것을 목표로 합니다. AI Frontier 본부의 Product Owner는 각 사업 영역의 mini CEO로서 역할과 책임을 맡게 됩니다. 시장과 고객에 대한 깊은 이해를 바탕으로 서비스를 기획하고, 크래프톤이 보유한 AI 기술과 리소스를 활용하여 새로운 제품과 사업을 직접 만들어가는 역할입니다. AI-native engineer, AI researcher와 함께 작은 Squad 단위로 빠르게 실험하고, 아이디어를 검증하며, 이를 실제 사업으로 성장시키는 것을 목표로 합니다. AI 시대에 새로운 도전을 찾고 계신 분, 실패를 두려워하지 않고 끊임없이 시도할 수 있는 Grit을 가진 분, 그리고 문제 해결 역량을 바탕으로 사업화 과정에서 마주하는 다양한 도전을 함께 해결해 나갈 분을 찾고 있습니다. 우리 팀과 함께할 미션을 소개합니다. - AI 기술 기반 신규 제품 및 사업 기회 발굴, 전략 수립, 기획 및 구현 - 제품/사업 전략 수립부터 실행까지 End-to-End 전 과정 총괄 및 성과 책임 - AI Engineer, AI Researcher와 협업하여 제품 개발 전략 수립, 방향 설정 및 실행 리드 - 초기 고객 발굴 및 PoC/Pilot 설계·검증을 통한 Product-Market Fit 분석 및 확인 - 데이터 및 사용자 피드백 기반 제품 고도화 및 사업 성장 총괄 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 하나 이상의 제품/서비스 또는 사업을 End-to-End로 리딩하여 출시 및 운영까지 경험 - 불확실한 환경에서 신규 제품/사업 기회와 전략을 정의하고 실행하여 사업화까지 연결한 경험 - 시장 및 고객 문제를 분석하고, 이를 제품 또는 사업 기회로 구체화한 경험 - 엔지니어 및 크로스펑셔널 팀과 협업하여 제품 개발을 리드하고 주요 의사결정을 주도한 경험 - 데이터 기반으로 제품 방향성과 사업 의사결정을 수행한 경험 (지표 분석, 실험 설계 등) - 제품/사업 전략 수립 및 사업화 관련 경력 7년 이상 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - 스타트업 또는 0→1 단계의 제품·사업을 만들어 본 경험이 있으신 분 - AI/ML 기반 제품 또는 서비스를 기획·개발·운영해 본 경험이 있으신 분 - 엔지니어와 긴밀하게 협업하여 제품 출시 또는 주요 기능 개발을 리드한 경험이 있으신 분 - 글로벌 서비스를 기획하거나 해외 사용자 대상 제품을 운영해 본 경험이 있으신 분 - MBA 학위 보유 또는 전략 컨설팅 등 비즈니스 문제를 구조화하고 해결한 경험이 있으신 분 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > 전화 인터뷰 (Phone Interview) > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사 - 상시채용으로 우수 인재 채용 시 조기에 마감될 수 있습니다. - 전형별 합격자에 대해 지원서에 등록하신 이메일 혹은 유선으로 개별 안내 드립니다. - 전화 인터뷰의 경우, 필수 전형이 아닌 필요에 따라 진행되는 선택 전형임을 사전 안내 드립니다. 이에 대한 상세 내용은 개별 안내 드립니다. - 필요 시 면접은 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내 드립니다. 필요 서류를 확인해주세요! - 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필요 시) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기를 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해주시기를 바랍니다. 근무지 - 역삼 센터필드 West 타워 고용형태 - 전문계약직 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
[AI Frontier Div] Game Product Owner (7년 이상)
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. KRAFTON에서는 게임을 이해하고 플레이할 수 있는 AI, 플레이어와 자연스럽게 상호작용하는 AI를 만들기 위해 LM, RL, 멀티모달, TTS 등 다양한 영역에서 원천 기술을 연구하고 있습니다. 단순한 기술 연구에 그치지 않고, 이를 실제 게임과 사업으로 연결하는 것이 AI Frontier 본부의 역할입니다. GX Frontier는 그 최전선에 있는 스쿼드입니다. 크래프톤 및 외부 게임 스튜디오와 협업하여 실제 게임 프로젝트에 AI를 적용하고, 유저에게 새로운 재미와 경험을 만들어냅니다. CPC 등 KRAFTON AI의 기술 자산을 출발점으로 삼되 이에 국한되지 않고, 게임별 맞춤형 AI 솔루션을 발굴·검증합니다. PO, BD, 엔지니어가 배치되어 프로젝트를 수행하며, 반복 프로젝트를 통해 내부 공통 모듈을 쌓고 장기적으로는 외부 판매까지 연결하는 구조 — 이른바 '게임 AI의 팔란티어' 모델을 지향합니다. 우리 팀과 함께할 미션을 소개합니다. - 게임 스튜디오와의 협업 기회 발굴 및 BD — 적용 가능성과 성공 확률이 높은 파트너 선별 - In-game AI 기능의 기획 및 프로젝트 로드맵 수립, End-to-End 실행 총괄 - AI Engineer, AI Researcher와 협업하여 게임별 맞춤형 AI 솔루션 설계 및 개발 리드 - 게임 내 AI 기능에 대한 유저 가치 검증 (PoC/Pilot 설계·운영·분석) - 프로젝트 성과 데이터 기반 제품 고도화 및 반복 가능한 모듈화 방향 도출 - 내부 공통 모듈의 사업화 가능성 평가 및 외부 판매 전략 수립 기여 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 하나 이상의 제품/서비스 또는 사업을 End-to-End로 리딩하여 출시 및 운영까지 경험 - 불확실한 환경에서 신규 제품/사업 기회를 정의하고 실행하여 사업화까지 연결한 경험 - 게임 산업의 사업 구조 및 게임 개발 프로젝트 운영 방식에 대한 실질적인 이해 (게임사, 퍼블리셔, 개발 스튜디오 등 업계 경험 보유자 우선) - 게임 개발 파이프라인과 스튜디오 조직 문화에 대한 이해를 바탕으로 내부 이해관계자와 효과적으로 협업한 경험 - 엔지니어 및 크로스펑셔널 팀과 협업하여 제품 개발을 리드하고 주요 의사결정을 주도한 경험 - 데이터 기반으로 제품 방향성과 사업 의사결정을 수행한 경험 (지표 분석, 실험 설계 등) - 제품/사업 전략 수립 및 사업화 관련 경력 7년 이상 (또는 이에 준하는 역량 보유자) - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - 게임사 또는 게임 플랫폼 대상 B2B 사업 개발 경험 (BD, 파트너십, 컨설팅 등) - AI/ML 기반 제품 또는 서비스를 기획·개발·운영해 본 경험 - 스타트업 또는 0→1 단계의 제품·사업을 만들어 본 경험 - In-game AI, NPC AI, 절차적 콘텐츠 생성 등 게임 AI 관련 프로젝트 경험 - 글로벌 게임 시장 및 해외 스튜디오와의 협업 경험 - 전략 컨설팅 또는 비즈니스 문제를 구조화하고 해결한 경험 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > *과제 전형 > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사 - *해당 절차는 각 포지션 및 후보자에 따라 변동이 있을 수 있습니다. - 상시 채용으로 채용 완료 시 조기 마감될 수 있습니다. - 필요 시, 인터뷰 및 직무 테스트가 추가될 수 있습니다. - 전형 일정 및 합격 또는 불합격 결과는 지원서에 등록하신 이메일 또는 유선으로 개별 안내 드립니다. 필요 서류를 확인해주세요! - 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필요 시) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 역삼 센터필드 West 타워 고용형태 - 전문계약직 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
[AI Frontier Div.] Game AI Tech BD (7년 이상)
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. GX Frontier는 Krafton AI Frontier 본부 산하 스쿼드로, 크래프톤 및 외부 게임 스튜디오와 협업하여 실제 게임 프로젝트에 AI를 적용하는 팀입니다. 단순한 기술 데모에 그치지 않고, 유저에게 새로운 재미와 경험을 줄 수 있는 In-game AI를 실제 프로덕션 환경에서 구현하는 것을 목표로 합니다. CPC를 비롯한 기존 AI 기술 자산을 출발점으로 삼되, 이에 국한되지 않고 게임별 맞춤형 AI 솔루션을 발굴하고 검증합니다. BD를 중심으로 엔지니어가 배치되어 프로젝트를 수행하는 구조이며, 장기적으로는 반복 프로젝트를 통해 내부 공통 모듈을 정제하고 일부는 외부 판매도 가능한 형태로 발전시키는 그림을 그리고 있습니다. 이른바 '게임 AI의 팔란티어' 모델입니다. 우리 팀과 함께할 미션을 소개합니다. - AI 사업 기회 발굴 및 제휴 개발 - 크래프톤 산하 스튜디오 및 외부 게임사 대상 AI 적용 기회 발굴 - 게임 개발 조직과의 커뮤니케이션을 통해 니즈 분석 - 게임별 AI 활용 시나리오 및 사업 기회 정의 - 신규 파트너십 및 전략적 협업 기회 분석 - 프로젝트 발굴 및 추진 - AI 기술팀과 협업하여 고객사 요구사항을 프로젝트 형태로 구체화 - 사업 제안서, 제휴 제안, 프로젝트 범위 정의 및 계약 협의 - 프로젝트 일정 및 주요 이해관계자 총괄 - AI 솔루션 사업화 - 반복 프로젝트에서 공통화 가능한 AI 기능 및 솔루션 정의 - 게임 AI 제품 및 서비스 사업 모델 전략 수립 - 시장 및 경쟁사 분석을 통한 신규 사업 전략 수립 - AI 기술의 상용화 및 외부 판매 가능성 분석 - 조직 간 협업 - AI 엔지니어, PM, 프로덕트 디자이너, 게임 개발 조직과 긴밀한 협업 총괄 - 기술적 내용을 비즈니스 언어로 번역하여 의사결정 지원 - 프로젝트 성과 및 사업 지표 분석 및 총괄 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 게임 산업 내 Business Development, 사업 PM, 전략, 개발 PM 경험 7년 이상 - 복잡한 기술 내용을 이해하고 비즈니스 관점으로 해석할 수 있는 역량 - 다양한 이해관계자와 원활하게 협업 및 커뮤니케이션할 수 있는 능력 - 새로운 시장 및 사업 기회를 스스로 발굴하고 추진한 경험 - 문서 작성 및 프레젠테이션 역량 - 영어 커뮤니케이션 가능자 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - 게임 제작 프로세스에 대한 이해 - 게임 라이브 서비스 운영 경험 - AI / 기술 분야 경험 - 생성형 AI, LLM, AI Agent, NPC AI 등에 대한 이해 - 기술 조직과 협업하여 프로젝트를 리딩한 경험 - 글로벌 게임사와 협업 경험 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > *과제 전형 > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사 - *해당 절차는 각 포지션 및 후보자에 따라 변동이 있을 수 있습니다. - 상시 채용으로 채용 완료 시 조기 마감될 수 있습니다. - 필요 시, 인터뷰 및 직무 테스트가 추가될 수 있습니다. - 전형 일정 및 합격 또는 불합격 결과는 지원서에 등록하신 이메일 또는 유선으로 개별 안내 드립니다. 필요 서류를 확인해주세요! - 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필요시) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 역삼 고용형태 - 전문계약직 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
[AI Frontier Div.] AI Native Full Stack Engineer (...
우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. AI Frontier 본부는 크래프톤의 핵심 AI 기술 역량을 실질적인 사업 성과로 연결하는 실행 중심 조직입니다. In-game AI, Production AI, LLM AI 등 6개 Squad가 각각의 사업을 빠르게 실험하고 스케일업합니다. 우리가 찾는 AI Native Engineer는 AI를 단순한 보조 도구가 아닌 핵심 개발 파트너 로 활용하면서, 동시에 대규모 트래픽 환경에서 서비스를 안정적으로 설계·운영한 경험 을 갖춘 시니어 엔지니어입니다. AI 기술이 빠르게 변화하는 만큼, 새로운 모델과 도구를 누구보다 빨리 습득하고 프로덕션에 적용하는 것도 중요하지만, 그 기술을 안정적이고 확장 가능한 서비스로 만들어 고객에게 전달하는 것 이 궁극적인 목표입니다 . 우리 팀과 함께할 미션을 소개합니다. - Squad(사업 실행 단위) 소속으로 PO와 함께 AI 기반 제품의 기획·개발·배포·운영 전 과정을 책임 - AI 모델을 활용한 서비스 기능 설계 및 구현 (프롬프트 설계, API 통합, RAG 파이프라인, MCP 연동, 에이전트 오케스트레이션 등) - 프론트엔드와 백엔드를 아우르는 End-to-End 서비스 개발 및 운영 - 모델 추론(Inference) 파이프라인 구축, 최적화 및 안정적 운영을 위한 모니터링 시스템 개발 - 대규모 트래픽 환경에서의 서비스 아키텍처 설계 및 성능 최적화 - 서비스 안정성을 위한 CI/CD 파이프라인, 데이터 파이프라인 설계 및 운영 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 서비스 개발 역량 (핵심) - 7년 이상의 소프트웨어 개발 경력 또는 그에 준하는 실력을 보유한 분 - Backend(Node.js/Python/Kotlin/Go 중 하나 이상) 중심의 서비스 개발 경험. 서비스의 전체 흐름을 이해할 수 있는 분 - 기획부터 테스트, 배포, 서빙까지 하나의 흐름으로 책임질 수 있는 End-to-End 서비스 개발 경험 - RDBMS 및 NoSQL 데이터베이스에 대한 이해와 활용 능력 - 서비스 안정성과 확장성을 고려한 설계 및 운영 경험 - 서비스 운영 역량 - 실 서비스 운영 경험 — 대규모 트래픽 환경에서 서비스를 배포하고 안정적으로 운영한 경험 - 모니터링 및 장애 대응 — 모니터링 체계 구축부터 장애 발생 시 원인 분석·해결까지의 경험 (Datadog, Grafana 등) - CI/CD 및 인프라 운영 — 자동화된 배포 파이프라인 설계 및 운영 경험 - AI Native 개발 역량 - Claude Code, OpenAI Codex, Google Antigravity, Cursor 등 코딩 에이전트를 일상적 개발 도구로 활용 하며, 에이전트의 강점과 한계를 이해하고 있는 분 - Context & Harness Engineering 경험 — CLAUDE.md, AGENTS.md, Rules 등 프로젝트 컨텍스트 설계를 통해 에이전트의 출력 품질을 체계적으로 관리하고, 도구 권한 설계·안전 제약 조건·검증 루프 등 에이전트의 런타임 제어 체계를 구축해본 분 - 플러그인, 스킬 시스템, MCP(Model Context Protocol) 등 에이전트 도구 생태계에 대한 이해 및 커스텀 도구/플러그인 개발 경험 - 멀티 에이전트 시스템 설계 또는 에이전트 오케스트레이션 경험이 있으면 더욱 좋습니다 - 문제 해결 및 협업 - 문제 정의부터 솔루션 구현까지 독립적으로 수행 가능한 역량 - 기술적 의사결정을 문서화하고 팀에 공유하는 습관 - 비개발 직군과의 원활한 협업이 가능한 커뮤니케이션 역량 - 빠르게 변화하는 AI 기술 트렌드에 대한 높은 학습 의지와 적응력 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - 클라우드 환경(AWS, GCP, Azure) 활용 및 프로덕션 수준의 아키텍처 설계 경험. Kubernetes(k8s), Docker 등 컨테이너 기반 배포 및 IaC(Infrastructure as Code) 경험 포함 - GPU 기반 모델 서빙 인프라 구축 경험 (vLLM, Triton 등) 또는 오픈소스 모델을 활용한 서비스 기능 구현 경험 - 실제 유저들이 사용하는 AI 서비스 운영 경험 (DAU 10만 이상 또는 이에 준하는 규모) - 게임 또는 콘텐츠 및 사용자 중심 서비스에 대한 도메인 이해 또는 새로운 도메인을 빠르게 학습할 수 있는 역량 - Frontend(React, TypeScript 등) 개발 경험을 함께 보유한 풀스택 역량 - 테크 리드 또는 소규모 팀 리딩 경험 - 이런 분이면 더 좋습니다. - AI 도구를 활용해 혼자서 하나의 서비스를 처음부터 끝까지 만들어본 경험이 있는 분 - 프롬프트 한 줄이 아니라, 에이전트가 동작하는 환경 전체를 설계 하는 관점을 가진 분 - '이 기술이 사업에 어떤 가치를 만드는가'를 항상 고민하는 분 - 서비스 장애를 겪어봤고, 그 경험에서 시스템을 더 견고하게 만든 경험 이 있는 분 - 새로운 AI 모델이 나오면 바로 써보고, 프로덕션에 적용할 방법을 찾는 분 - 코드뿐 아니라 아키텍처, 실험 결과, 의사결정 과정을 문서로 남기는 습관이 있는 분 - 성능 병목을 찾고 해결하는 것에 즐거움을 느끼는 분 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. - 서류 전형 > *과제 전형 > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사 - *해당 절차는 각 포지션 및 후보자에 따라 변동이 있을 수 있습니다. - 상시 채용으로 채용 완료 시 조기 마감될 수 있습니다. - 필요 시, 인터뷰 및 직무 테스트가 추가될 수 있습니다. - 전형 일정 및 합격 또는 불합격 결과는 지원서에 등록하신 이메일 또는 유선으로 개별 안내 드립니다. 필요 서류를 확인해주세요! - 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필수) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 역삼 센터필드 고용형태 - 전문계약직 아래 안내 사항을 확인해주세요! - 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. - 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. - 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. - 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? - 크래프톤 제작 스튜디오 - 크래프톤 게임 - 크래프톤 비전 & 핵심가치 - 크래프톤 라이프 & 복리후생 - 크래프톤 공식 유튜브 채널 - 배틀그라운드 공식 유튜브 채널 - 크래프톤 인스타그램 - 크래프톤 블로그 Please check the information below - Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws - False statements in your resume may lead to the withdrawal of the employment offer - A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. - Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? - KRAFTON Production Studios - KRAFTON Games - KRAFTON Vision and Core Values - KRAFTON Life & Welfare Benefits - KRAFTON Youtube Channel - BATTLEGROUNDS Youtube Channel - KRAFTON Instagram - KRAFTON Blog
Manager, Software Engineering - AI Product
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're seeking a dynamic manager to lead a team on our early-stage journey of providing Figma’s users with personalized, streamline and intuitive solutions. As Figma’s customer base continues to expand and diversify, and new technological advancements in AI and generative design emerge, the opportunity for AI experience engineering is greater than ever. You’ll collaborate closely with a cutting edge AI Research team and your work will help raise the ceiling of what’s possible for designers and lower the floor of who can design. We are seeking an accomplished and experienced leader who has built scrappy fast paced teams, ideally working on generative AI products, to join our team and lead our AI efforts from inception to implementation. Join us in molding the future of AI at Figma! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: - Lead and grow a diverse team of engineers building and advancing Figma’s AI capabilities across core products - Partner closely with Product, Engineering, AI Research, and Data Science to define strategy and drive a clear roadmap for AI-powered experiences - Hire, mentor, and retain exceptional engineering talent, fostering a culture of innovation, collaboration, and thoughtful risk-taking - Drive 0→1 innovation by identifying opportunities and applying emerging AI technologies to meaningfully improve the user experience - Champion Figma’s commitment to diversity and inclusion by actively contributing to equitable hiring practices, team development, and cross-company initiatives. We'd love to hear from you if you have: - 3+ years of experience hiring, leading, and developing high-performing engineering teams - Proven experience building and scaling AI-powered product capabilities, ideally in fast-paced, high-growth environments - Demonstrated track record of driving 0→1 product development, with the ability to translate ambiguous ideas into impactful, production-ready features - Strong ability to build and operate fast-moving teams that balance innovation with execution - Genuine curiosity and enthusiasm for emerging AI technologies and their application to user-facing products While not required, it’s an added plus if you also have: - Knowledge and experience in generative AI, RAG, the fine-tuning process and its application to creative products - Experience digging into product analytics and data yourself to help create new opportunities or investment areas for your team At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. <div class="content-pay-transparency"
Engineering Manager, Agentic AI
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About The Team + Role The Artificial Intelligence team is at the forefront of integrating AI into Robinhood’s ecosystem. We are building the foundational AI and ML infrastructure that empowers our product and engineering teams to seamlessly build, deploy, and scale AI-driven features tailored to the needs of our customers. As the Engineering Manager you will lead the charge in developing this critical infrastructure. You will oversee the creation of multiple ML and AI models spanning Robinhood products, and internal optimizations. You will guide the engineering organization in producing advanced models and leveraging Large Language Models (LLMs) to create real, scalable products. This role requires a visionary leader with a strong software engineering background, a passion for developer-facing platforms, and deep expertise in applied ML at scale. This role is based in our Menlo Park, CA office , with in-person attendance expected 5 days per week. At Robinhood , we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. What You'll do - Lead, mentor, and scale a high-performing organization of engineers, managers, and applied ML specialists, providing technical guidance, regular feedback, and support for career growth. - Guide model development and evaluation, ensuring AI applications are highly performant, secure, and ready to serve millions of customers. - Partner cross-functionally with product, design, infrastructure, and other executive leaders to ensure AI platforms meet the complex needs of Robinhood’s diverse business lines. - Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability across multiple teams. What You Bring - Proven engineering leadership experience, with a track record of supporting performance, hiring top talent, managing managers, and driving organizational development. - Hands-on experience in Applied Machine Learning, specifically with productionizing applications that leverage LLMs and advanced models to build real-world products. - Deep understanding of ML infrastructure, platforms, and the complexities of deploying AI safely and securely across an enterprise. - An execution-focused mindset capable of translating complex business and product goals into clear technical milestones and organizational strategy. Leadership Expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them: - Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, in
Machine Learning Systems Engineer, Ads ML Platform
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands. Team Overview We’re building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. Our small but growing team works on projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management. We are looking for an engineer with experience in building high-scale data infrastructure and exposure to ML platforms to help evolve and scale our feature management systems. This is not a pure ML modeling role. The ideal candidate is excited about building reliable infrastructure, data pipelines, and developer-facing tools that make ML engineers more productive. What You’ll Do - Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage. - Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use. - Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning - Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems. - Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management - Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives. What You Bring - 3+ years in data infrastructure/platform engineering or ML infrastructure platforms. - Hands-on experience building production services, data pipelines, APIs, workflow systems, or developer tools. - Experience with at least one distributed data or compute system such as Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, or similar technologies. - Familiarity with ML data workflows such as feature generation, training dataset creation, batch processing, real-time data processing, model training, experimentation, or online serving. - Strong coding skills and ability to
AI Solution Engineer
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We’re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles. This is not about theory - it’s about building AI that works in the real world! Job Description Your Influential Mission: You Will… - Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity. - Create reusable patterns, templates, and best practices for AI adoption across Playtech. - Design agentic workflows that automate tasks, use APIs, and support complex processes. - Stay current with AI trends and turn insights into demos, workshops, and recommendations. - Partner with teams to turn ideas into real solutions and support AI adoption hands-on. - Drive efficiency and productivity through AI across multiple business units. - Improve solution quality, cost, and performance through better design and optimisation. - Identify and mitigate AI risks, ensuring safe and responsible use. - Contribute to AI standards, governance, and best practices. - Share knowledge, mentor others, and raise the overall AI engineering bar. Qualifications Components for Success: You… - Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends. - Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems. - Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume. - Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders. - Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor. - Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience. - Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment. You’ll Get Extra Points for… - Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK) - AI evaluation or AI security experience. - Agentic development experience (MCP, multi-agent systems). - RAG implementation experience. - Cloud DevOps or Terraform experience. - Prior experience in iGaming, fintech, or another regulated industry. - AI governance experience or interest. - Coding experience, especially in Python Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Solution Engineer
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We’re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles. This is not about theory - it’s about building AI that works in the real world! Job Description Your Influential Mission: You Will… - Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity. - Create reusable patterns, templates, and best practices for AI adoption across Playtech. - Design agentic workflows that automate tasks, use APIs, and support complex processes. - Stay current with AI trends and turn insights into demos, workshops, and recommendations. - Partner with teams to turn ideas into real solutions and support AI adoption hands-on. - Drive efficiency and productivity through AI across multiple business units. - Improve solution quality, cost, and performance through better design and optimisation. - Identify and mitigate AI risks, ensuring safe and responsible use. - Contribute to AI standards, governance, and best practices. - Share knowledge, mentor others, and raise the overall AI engineering bar. Qualifications Components for Success: You… - Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends. - Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems. - Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume. - Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders. - Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor. - Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience. - Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment. You’ll Get Extra Points for… - Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK) - AI evaluation or AI security experience. - Agentic development experience (MCP, multi-agent systems). - RAG implementation experience. - Cloud DevOps or Terraform experience. - Prior experience in iGaming, fintech, or another regulated industry. - AI governance experience or interest. - Coding experience, especially in Python Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Project, Governance & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We are seeking a highly organised and proactive AI Project, Governance & Operations Manager to play a central role in delivering Playtech’s AI programme. Fast-paced and high-impact, the role offers strong visibility and the opportunity to contribute directly to the success of our AI initiatives. Job Description Your Influential Mission: You Will… Be responsible for delivery and operations by: - Coordinating AI tool assessments through the approval pipeline, working with AI Committee gatekeepers and requesters to drive progress to approval. - Coordinating meetings with governance stakeholders and business teams to progress AI initiatives, assessments, and alignment. - Maintaining assessment documentation, project trackers, AI tool registers, and risk reports to keep records accurate and up to date. - Supporting vendor onboarding, including NDAs, account setup, and technical configuration in line with IT, Data Protection, Legal, and Security requirements. - Managing AI Committee and programme logistics, including scheduling, agenda planning, documentation, and minute-taking. - Maintaining the AI workstream action log and following up on outstanding items between meetings. - Supporting business units in defining tool and licence needs and coordinating access to ensure employees receive the required tools. - Partnering with licensing and IT teams to manage workspace setup, onboarding, access provisioning, and issue resolution or escalation. - Maintaining accurate records of licence allocations, uptake, and prioritisation across the AI portfolio. Be accountable for POC & sandbox delivery by: - Supporting proof of concept delivery, including setup, participant communication, access provisioning, progress tracking, and feedback collection. - Coordinating adoption and usage data across tools, and producing summaries, reports, and surveys to support ROI analysis. - Managing the sandbox and playground process end-to-end, including intake, approval, setup, access, and user guidance. Support budget tracking and procurement processes by: - Working with Procurement to onboard new suppliers, coordinating documentation, and supporting setup. - Raising purchase orders, tracking approvals, and following up with Finance and Procurement teams. - Reconciling invoices against licences and maintaining accurate spend records. - Supporting budget tracking and reporting against the annual budget. Lead communications and community engagement by: - Acting as the first point of contact for AI tool queries, access, eligibility, guidance, and sandbox requests - Writing and distributing AI communications, including updates, news, training announcements, and programme insights - Managing AI Teams channels, including setup, administration, recordings, and moderation - Coordinating Show & Tell sessions and training events, including scheduling, logistics, and follow-ups - Coordinating content for the company-wide AI newsletter - Maintaining Confluence and Playtech Home AI pages, ensuring content, tool registers, and documentation remain accurate and up to date Qualifications Components for Success: You… - Bring experience in project administration, programme coordination, or operations support - ideally in a technology-driven environment. - Have strong organisational and administrative skills, with the ability to manage multiple workstreams and meet tight deadlines. - Have excellent attention to detail, with confidence, maintaining project documentation to a high standard. - Have clear and professional written communication skills, able to draft meeting notes, updates, and stakeholder communications concisely and with structure. - Are comfortable working cross-functionally with a wide range of stakeholders, and confident coordinating across teams to keep processes moving. - Are proficient in Microsoft 365 - Have a genuine interest in AI and technology transformation. You’ll Get Extra Points for… - Jira and Confluence experience for planning, reporting, and programme administration. - Exposure to governance, risk, or compliance processes. - Prior experience in a fast-paced technology or transformation environment. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Project, Governance & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We are seeking a highly organised and proactive AI Project, Governance & Operations Manager to play a central role in delivering Playtech’s AI programme. Fast-paced and high-impact, the role offers strong visibility and the opportunity to contribute directly to the success of our AI initiatives. Job Description Your Influential Mission: You Will… Be responsible for delivery and operations by: - Coordinating AI tool assessments through the approval pipeline, working with AI Committee gatekeepers and requesters to drive progress to approval. - Coordinating meetings with governance stakeholders and business teams to progress AI initiatives, assessments, and alignment. - Maintaining assessment documentation, project trackers, AI tool registers, and risk reports to keep records accurate and up to date. - Supporting vendor onboarding, including NDAs, account setup, and technical configuration in line with IT, Data Protection, Legal, and Security requirements. - Managing AI Committee and programme logistics, including scheduling, agenda planning, documentation, and minute-taking. - Maintaining the AI workstream action log and following up on outstanding items between meetings. - Supporting business units in defining tool and licence needs and coordinating access to ensure employees receive the required tools. - Partnering with licensing and IT teams to manage workspace setup, onboarding, access provisioning, and issue resolution or escalation. - Maintaining accurate records of licence allocations, uptake, and prioritisation across the AI portfolio. Be accountable for POC & sandbox delivery by: - Supporting proof of concept delivery, including setup, participant communication, access provisioning, progress tracking, and feedback collection. - Coordinating adoption and usage data across tools, and producing summaries, reports, and surveys to support ROI analysis. - Managing the sandbox and playground process end-to-end, including intake, approval, setup, access, and user guidance. Support budget tracking and procurement processes by: - Working with Procurement to onboard new suppliers, coordinating documentation, and supporting setup. - Raising purchase orders, tracking approvals, and following up with Finance and Procurement teams. - Reconciling invoices against licences and maintaining accurate spend records. - Supporting budget tracking and reporting against the annual budget. Lead communications and community engagement by: - Acting as the first point of contact for AI tool queries, access, eligibility, guidance, and sandbox requests - Writing and distributing AI communications, including updates, news, training announcements, and programme insights - Managing AI Teams channels, including setup, administration, recordings, and moderation - Coordinating Show & Tell sessions and training events, including scheduling, logistics, and follow-ups - Coordinating content for the company-wide AI newsletter - Maintaining Confluence and Playtech Home AI pages, ensuring content, tool registers, and documentation remain accurate and up to date Qualifications Components for Success: You… - Bring experience in project administration, programme coordination, or operations support - ideally in a technology-driven environment. - Have strong organisational and administrative skills, with the ability to manage multiple workstreams and meet tight deadlines. - Have excellent attention to detail, with confidence, maintaining project documentation to a high standard. - Have clear and professional written communication skills, able to draft meeting notes, updates, and stakeholder communications concisely and with structure. - Are comfortable working cross-functionally with a wide range of stakeholders, and confident coordinating across teams to keep processes moving. - Are proficient in Microsoft 365 - Have a genuine interest in AI and technology transformation. You’ll Get Extra Points for… - Jira and Confluence experience for planning, reporting, and programme administration. - Exposure to governance, risk, or compliance processes. - Prior experience in a fast-paced technology or transformation environment. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Delivery & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? This is not just another delivery role - it’s an opportunity to shape how AI is delivered at scale across Playtech. We’re looking for an AI Delivery & Operations Manager who can bring structure to fast-paced environments, simplify complexity, and keep a highly technical team aligned and focused. If you’re motivated by delivery, operations, and tangible impact, this role offers a strong platform to contribute. Job Description Your Influential Mission: You Will… Take ownership of agile delivery management by: - Running agile delivery cadences for the Central AI team, sprint planning, stand-ups, retrospectives, and dependency management. - Owning backlog planning, ticket management, and assignment, and end-to-end delivery tracking across the team. - Defining and delivering documentation processes for the Central AI team and for business units consuming the platform. - Leading short, medium, and long-term planning, prioritisation, and reporting for the team. - Delivering projects – both fully within the AI Team, but more often including stakeholders and resources from across all Playtech Business Units Be responsible for platform operations by: - Owning monitoring and alerting, incident and problem management, post-mortems, and corrective-action tracking for the Central AI Platform. - Hands on management when incidents arise, and building a culture of safe and compliant AI operations in the AI team and across Playtech. - Defining and implementing the processes that enable other Playtech teams to adopt the AI platform safely and at scale, while maximising self-service and innovation. - Working closely with Security, Privacy, Service Ops, and business-unit teams to define and implement shared processes. Be accountable for governance, audit & compliance by - Owning audit documentation, process execution, and evidence management across relevant frameworks, including ISO 27001, Financial ITGCs, and emerging AI standards such as ISO 42001 and the EU AI Act. - Driving governance and compliance practices that keep the team and platform operating to the highest standards. Drive AI-first ways of working by: - Championing AI-first ways of working within the team: wherever possible, automate delivery, operations, and audit workflows using the AI tools and platform you help govern. - Helping set the standard for AI adoption across Playtech by proving and refining capabilities internally before rolling them out to other business units. Have the opportunity to take on people leadership responsibilities by: - managing members of the Central AI team, depending on your experience and interests. Qualifications Components for Success: You… - Bring proven Agile delivery management experience in a technical engineering environment. - Have a solid background in platform operations — monitoring, incident response, problem management, and SRE-style practices. - Have demonstrable experience handling audit and compliance evidence (ISO 27001, ITGCs, or directly comparable frameworks). - Are comfortable working cross-functionally with various stakeholders, such as Playtech Product Units, Security, Compliance, Privacy, Legal, , Service Ops, etc teams. . - Have genuine knowledge of and enthusiasm for AI systems and solutions. - Can get hands-on with AI tools and build your own workflows. You’ll Get Extra Points for… - Experience with AI or cloud platforms, particularly GCP AI / Vertex AI. - Exposure to platform onboarding and self-service operating models. - Experience automating delivery and operations workflows using AI tooling. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Delivery & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? This is not just another delivery role - it’s an opportunity to shape how AI is delivered at scale across Playtech. We’re looking for an AI Delivery & Operations Manager who can bring structure to fast-paced environments, simplify complexity, and keep a highly technical team aligned and focused. If you’re motivated by delivery, operations, and tangible impact, this role offers a strong platform to contribute. Job Description Your Influential Mission: You Will… Take ownership of agile delivery management by: - Running agile delivery cadences for the Central AI team, sprint planning, stand-ups, retrospectives, and dependency management. - Owning backlog planning, ticket management, and assignment, and end-to-end delivery tracking across the team. - Defining and delivering documentation processes for the Central AI team and for business units consuming the platform. - Leading short, medium, and long-term planning, prioritisation, and reporting for the team. - Delivering projects – both fully within the AI Team, but more often including stakeholders and resources from across all Playtech Business Units Be responsible for platform operations by: - Owning monitoring and alerting, incident and problem management, post-mortems, and corrective-action tracking for the Central AI Platform. - Hands on management when incidents arise, and building a culture of safe and compliant AI operations in the AI team and across Playtech. - Defining and implementing the processes that enable other Playtech teams to adopt the AI platform safely and at scale, while maximising self-service and innovation. - Working closely with Security, Privacy, Service Ops, and business-unit teams to define and implement shared processes. Be accountable for governance, audit & compliance by - Owning audit documentation, process execution, and evidence management across relevant frameworks, including ISO 27001, Financial ITGCs, and emerging AI standards such as ISO 42001 and the EU AI Act. - Driving governance and compliance practices that keep the team and platform operating to the highest standards. Drive AI-first ways of working by: - Championing AI-first ways of working within the team: wherever possible, automate delivery, operations, and audit workflows using the AI tools and platform you help govern. - Helping set the standard for AI adoption across Playtech by proving and refining capabilities internally before rolling them out to other business units. Have the opportunity to take on people leadership responsibilities by: - managing members of the Central AI team, depending on your experience and interests. Qualifications Components for Success: You… - Bring proven Agile delivery management experience in a technical engineering environment. - Have a solid background in platform operations — monitoring, incident response, problem management, and SRE-style practices. - Have demonstrable experience handling audit and compliance evidence (ISO 27001, ITGCs, or directly comparable frameworks). - Are comfortable working cross-functionally with various stakeholders, such as Playtech Product Units, Security, Compliance, Privacy, Legal, , Service Ops, etc teams. . - Have genuine knowledge of and enthusiasm for AI systems and solutions. - Can get hands-on with AI tools and build your own workflows. You’ll Get Extra Points for… - Experience with AI or cloud platforms, particularly GCP AI / Vertex AI. - Exposure to platform onboarding and self-service operating models. - Experience automating delivery and operations workflows using AI tooling. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Solution Engineer
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We’re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles. This is not about theory - it’s about building AI that works in the real world! Job Description Your Influential Mission: You Will… - Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity. - Create reusable patterns, templates, and best practices for AI adoption across Playtech. - Design agentic workflows that automate tasks, use APIs, and support complex processes. - Stay current with AI trends and turn insights into demos, workshops, and recommendations. - Partner with teams to turn ideas into real solutions and support AI adoption hands-on. - Drive efficiency and productivity through AI across multiple business units. - Improve solution quality, cost, and performance through better design and optimisation. - Identify and mitigate AI risks, ensuring safe and responsible use. - Contribute to AI standards, governance, and best practices. - Share knowledge, mentor others, and raise the overall AI engineering bar. Qualifications Components for Success: You… - Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends. - Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems. - Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume. - Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders. - Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor. - Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience. - Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment. You’ll Get Extra Points for… - Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK) - AI evaluation or AI security experience. - Agentic development experience (MCP, multi-agent systems). - RAG implementation experience. - Cloud DevOps or Terraform experience. - Prior experience in iGaming, fintech, or another regulated industry. - AI governance experience or interest. - Coding experience, especially in Python Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Delivery & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? This is not just another delivery role - it’s an opportunity to shape how AI is delivered at scale across Playtech. We’re looking for an AI Delivery & Operations Manager who can bring structure to fast-paced environments, simplify complexity, and keep a highly technical team aligned and focused. If you’re motivated by delivery, operations, and tangible impact, this role offers a strong platform to contribute. Job Description Your Influential Mission: You Will… Take ownership of agile delivery management by: - Running agile delivery cadences for the Central AI team, sprint planning, stand-ups, retrospectives, and dependency management. - Owning backlog planning, ticket management, and assignment, and end-to-end delivery tracking across the team. - Defining and delivering documentation processes for the Central AI team and for business units consuming the platform. - Leading short, medium, and long-term planning, prioritisation, and reporting for the team. - Delivering projects – both fully within the AI Team, but more often including stakeholders and resources from across all Playtech Business Units Be responsible for platform operations by: - Owning monitoring and alerting, incident and problem management, post-mortems, and corrective-action tracking for the Central AI Platform. - Hands on management when incidents arise, and building a culture of safe and compliant AI operations in the AI team and across Playtech. - Defining and implementing the processes that enable other Playtech teams to adopt the AI platform safely and at scale, while maximising self-service and innovation. - Working closely with Security, Privacy, Service Ops, and business-unit teams to define and implement shared processes. Be accountable for governance, audit & compliance by - Owning audit documentation, process execution, and evidence management across relevant frameworks, including ISO 27001, Financial ITGCs, and emerging AI standards such as ISO 42001 and the EU AI Act. - Driving governance and compliance practices that keep the team and platform operating to the highest standards. Drive AI-first ways of working by: - Championing AI-first ways of working within the team: wherever possible, automate delivery, operations, and audit workflows using the AI tools and platform you help govern. - Helping set the standard for AI adoption across Playtech by proving and refining capabilities internally before rolling them out to other business units. Have the opportunity to take on people leadership responsibilities by: - managing members of the Central AI team, depending on your experience and interests. Qualifications Components for Success: You… - Bring proven Agile delivery management experience in a technical engineering environment. - Have a solid background in platform operations — monitoring, incident response, problem management, and SRE-style practices. - Have demonstrable experience handling audit and compliance evidence (ISO 27001, ITGCs, or directly comparable frameworks). - Are comfortable working cross-functionally with various stakeholders, such as Playtech Product Units, Security, Compliance, Privacy, Legal, , Service Ops, etc teams. . - Have genuine knowledge of and enthusiasm for AI systems and solutions. - Can get hands-on with AI tools and build your own workflows. You’ll Get Extra Points for… - Experience with AI or cloud platforms, particularly GCP AI / Vertex AI. - Exposure to platform onboarding and self-service operating models. - Experience automating delivery and operations workflows using AI tooling. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Project, Governance & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We are seeking a highly organised and proactive AI Project, Governance & Operations Manager to play a central role in delivering Playtech’s AI programme. Fast-paced and high-impact, the role offers strong visibility and the opportunity to contribute directly to the success of our AI initiatives. Job Description Your Influential Mission: You Will… Be responsible for delivery and operations by: - Coordinating AI tool assessments through the approval pipeline, working with AI Committee gatekeepers and requesters to drive progress to approval. - Coordinating meetings with governance stakeholders and business teams to progress AI initiatives, assessments, and alignment. - Maintaining assessment documentation, project trackers, AI tool registers, and risk reports to keep records accurate and up to date. - Supporting vendor onboarding, including NDAs, account setup, and technical configuration in line with IT, Data Protection, Legal, and Security requirements. - Managing AI Committee and programme logistics, including scheduling, agenda planning, documentation, and minute-taking. - Maintaining the AI workstream action log and following up on outstanding items between meetings. - Supporting business units in defining tool and licence needs and coordinating access to ensure employees receive the required tools. - Partnering with licensing and IT teams to manage workspace setup, onboarding, access provisioning, and issue resolution or escalation. - Maintaining accurate records of licence allocations, uptake, and prioritisation across the AI portfolio. Be accountable for POC & sandbox delivery by: - Supporting proof of concept delivery, including setup, participant communication, access provisioning, progress tracking, and feedback collection. - Coordinating adoption and usage data across tools, and producing summaries, reports, and surveys to support ROI analysis. - Managing the sandbox and playground process end-to-end, including intake, approval, setup, access, and user guidance. Support budget tracking and procurement processes by: - Working with Procurement to onboard new suppliers, coordinating documentation, and supporting setup. - Raising purchase orders, tracking approvals, and following up with Finance and Procurement teams. - Reconciling invoices against licences and maintaining accurate spend records. - Supporting budget tracking and reporting against the annual budget. Lead communications and community engagement by: - Acting as the first point of contact for AI tool queries, access, eligibility, guidance, and sandbox requests - Writing and distributing AI communications, including updates, news, training announcements, and programme insights - Managing AI Teams channels, including setup, administration, recordings, and moderation - Coordinating Show & Tell sessions and training events, including scheduling, logistics, and follow-ups - Coordinating content for the company-wide AI newsletter - Maintaining Confluence and Playtech Home AI pages, ensuring content, tool registers, and documentation remain accurate and up to date Qualifications Components for Success: You… - Bring experience in project administration, programme coordination, or operations support - ideally in a technology-driven environment. - Have strong organisational and administrative skills, with the ability to manage multiple workstreams and meet tight deadlines. - Have excellent attention to detail, with confidence, maintaining project documentation to a high standard. - Have clear and professional written communication skills, able to draft meeting notes, updates, and stakeholder communications concisely and with structure. - Are comfortable working cross-functionally with a wide range of stakeholders, and confident coordinating across teams to keep processes moving. - Are proficient in Microsoft 365 - Have a genuine interest in AI and technology transformation. You’ll Get Extra Points for… - Jira and Confluence experience for planning, reporting, and programme administration. - Exposure to governance, risk, or compliance processes. - Prior experience in a fast-paced technology or transformation environment. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Solution Engineer
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We’re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles. This is not about theory - it’s about building AI that works in the real world! Job Description Your Influential Mission: You Will… - Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity. - Create reusable patterns, templates, and best practices for AI adoption across Playtech. - Design agentic workflows that automate tasks, use APIs, and support complex processes. - Stay current with AI trends and turn insights into demos, workshops, and recommendations. - Partner with teams to turn ideas into real solutions and support AI adoption hands-on. - Drive efficiency and productivity through AI across multiple business units. - Improve solution quality, cost, and performance through better design and optimisation. - Identify and mitigate AI risks, ensuring safe and responsible use. - Contribute to AI standards, governance, and best practices. - Share knowledge, mentor others, and raise the overall AI engineering bar. Qualifications Components for Success: You… - Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends. - Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems. - Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume. - Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders. - Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor. - Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience. - Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment. You’ll Get Extra Points for… - Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK) - AI evaluation or AI security experience. - Agentic development experience (MCP, multi-agent systems). - RAG implementation experience. - Cloud DevOps or Terraform experience. - Prior experience in iGaming, fintech, or another regulated industry. - AI governance experience or interest. - Coding experience, especially in Python Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Delivery & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? This is not just another delivery role - it’s an opportunity to shape how AI is delivered at scale across Playtech. We’re looking for an AI Delivery & Operations Manager who can bring structure to fast-paced environments, simplify complexity, and keep a highly technical team aligned and focused. If you’re motivated by delivery, operations, and tangible impact, this role offers a strong platform to contribute. Job Description Your Influential Mission: You Will… Take ownership of agile delivery management by: - Running agile delivery cadences for the Central AI team, sprint planning, stand-ups, retrospectives, and dependency management. - Owning backlog planning, ticket management, and assignment, and end-to-end delivery tracking across the team. - Defining and delivering documentation processes for the Central AI team and for business units consuming the platform. - Leading short, medium, and long-term planning, prioritisation, and reporting for the team. - Delivering projects – both fully within the AI Team, but more often including stakeholders and resources from across all Playtech Business Units Be responsible for platform operations by: - Owning monitoring and alerting, incident and problem management, post-mortems, and corrective-action tracking for the Central AI Platform. - Hands on management when incidents arise, and building a culture of safe and compliant AI operations in the AI team and across Playtech. - Defining and implementing the processes that enable other Playtech teams to adopt the AI platform safely and at scale, while maximising self-service and innovation. - Working closely with Security, Privacy, Service Ops, and business-unit teams to define and implement shared processes. Be accountable for governance, audit & compliance by - Owning audit documentation, process execution, and evidence management across relevant frameworks, including ISO 27001, Financial ITGCs, and emerging AI standards such as ISO 42001 and the EU AI Act. - Driving governance and compliance practices that keep the team and platform operating to the highest standards. Drive AI-first ways of working by: - Championing AI-first ways of working within the team: wherever possible, automate delivery, operations, and audit workflows using the AI tools and platform you help govern. - Helping set the standard for AI adoption across Playtech by proving and refining capabilities internally before rolling them out to other business units. Have the opportunity to take on people leadership responsibilities by: - managing members of the Central AI team, depending on your experience and interests. Qualifications Components for Success: You… - Bring proven Agile delivery management experience in a technical engineering environment. - Have a solid background in platform operations — monitoring, incident response, problem management, and SRE-style practices. - Have demonstrable experience handling audit and compliance evidence (ISO 27001, ITGCs, or directly comparable frameworks). - Are comfortable working cross-functionally with various stakeholders, such as Playtech Product Units, Security, Compliance, Privacy, Legal, , Service Ops, etc teams. . - Have genuine knowledge of and enthusiasm for AI systems and solutions. - Can get hands-on with AI tools and build your own workflows. You’ll Get Extra Points for… - Experience with AI or cloud platforms, particularly GCP AI / Vertex AI. - Exposure to platform onboarding and self-service operating models. - Experience automating delivery and operations workflows using AI tooling. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Project, Governance & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We are seeking a highly organised and proactive AI Project, Governance & Operations Manager to play a central role in delivering Playtech’s AI programme. Fast-paced and high-impact, the role offers strong visibility and the opportunity to contribute directly to the success of our AI initiatives. Job Description Your Influential Mission: You Will… Be responsible for delivery and operations by: - Coordinating AI tool assessments through the approval pipeline, working with AI Committee gatekeepers and requesters to drive progress to approval. - Coordinating meetings with governance stakeholders and business teams to progress AI initiatives, assessments, and alignment. - Maintaining assessment documentation, project trackers, AI tool registers, and risk reports to keep records accurate and up to date. - Supporting vendor onboarding, including NDAs, account setup, and technical configuration in line with IT, Data Protection, Legal, and Security requirements. - Managing AI Committee and programme logistics, including scheduling, agenda planning, documentation, and minute-taking. - Maintaining the AI workstream action log and following up on outstanding items between meetings. - Supporting business units in defining tool and licence needs and coordinating access to ensure employees receive the required tools. - Partnering with licensing and IT teams to manage workspace setup, onboarding, access provisioning, and issue resolution or escalation. - Maintaining accurate records of licence allocations, uptake, and prioritisation across the AI portfolio. Be accountable for POC & sandbox delivery by: - Supporting proof of concept delivery, including setup, participant communication, access provisioning, progress tracking, and feedback collection. - Coordinating adoption and usage data across tools, and producing summaries, reports, and surveys to support ROI analysis. - Managing the sandbox and playground process end-to-end, including intake, approval, setup, access, and user guidance. Support budget tracking and procurement processes by: - Working with Procurement to onboard new suppliers, coordinating documentation, and supporting setup. - Raising purchase orders, tracking approvals, and following up with Finance and Procurement teams. - Reconciling invoices against licences and maintaining accurate spend records. - Supporting budget tracking and reporting against the annual budget. Lead communications and community engagement by: - Acting as the first point of contact for AI tool queries, access, eligibility, guidance, and sandbox requests - Writing and distributing AI communications, including updates, news, training announcements, and programme insights - Managing AI Teams channels, including setup, administration, recordings, and moderation - Coordinating Show & Tell sessions and training events, including scheduling, logistics, and follow-ups - Coordinating content for the company-wide AI newsletter - Maintaining Confluence and Playtech Home AI pages, ensuring content, tool registers, and documentation remain accurate and up to date Qualifications Components for Success: You… - Bring experience in project administration, programme coordination, or operations support - ideally in a technology-driven environment. - Have strong organisational and administrative skills, with the ability to manage multiple workstreams and meet tight deadlines. - Have excellent attention to detail, with confidence, maintaining project documentation to a high standard. - Have clear and professional written communication skills, able to draft meeting notes, updates, and stakeholder communications concisely and with structure. - Are comfortable working cross-functionally with a wide range of stakeholders, and confident coordinating across teams to keep processes moving. - Are proficient in Microsoft 365 - Have a genuine interest in AI and technology transformation. You’ll Get Extra Points for… - Jira and Confluence experience for planning, reporting, and programme administration. - Exposure to governance, risk, or compliance processes. - Prior experience in a fast-paced technology or transformation environment. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Solution Engineer
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We’re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles. This is not about theory - it’s about building AI that works in the real world! Job Description Your Influential Mission: You Will… - Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity. - Create reusable patterns, templates, and best practices for AI adoption across Playtech. - Design agentic workflows that automate tasks, use APIs, and support complex processes. - Stay current with AI trends and turn insights into demos, workshops, and recommendations. - Partner with teams to turn ideas into real solutions and support AI adoption hands-on. - Drive efficiency and productivity through AI across multiple business units. - Improve solution quality, cost, and performance through better design and optimisation. - Identify and mitigate AI risks, ensuring safe and responsible use. - Contribute to AI standards, governance, and best practices. - Share knowledge, mentor others, and raise the overall AI engineering bar. Qualifications Components for Success: You… - Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends. - Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems. - Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume. - Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders. - Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor. - Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience. - Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment. You’ll Get Extra Points for… - Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK) - AI evaluation or AI security experience. - Agentic development experience (MCP, multi-agent systems). - RAG implementation experience. - Cloud DevOps or Terraform experience. - Prior experience in iGaming, fintech, or another regulated industry. - AI governance experience or interest. - Coding experience, especially in Python Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Project, Governance & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? We are seeking a highly organised and proactive AI Project, Governance & Operations Manager to play a central role in delivering Playtech’s AI programme. Fast-paced and high-impact, the role offers strong visibility and the opportunity to contribute directly to the success of our AI initiatives. Job Description Your Influential Mission: You Will… Be responsible for delivery and operations by: - Coordinating AI tool assessments through the approval pipeline, working with AI Committee gatekeepers and requesters to drive progress to approval. - Coordinating meetings with governance stakeholders and business teams to progress AI initiatives, assessments, and alignment. - Maintaining assessment documentation, project trackers, AI tool registers, and risk reports to keep records accurate and up to date. - Supporting vendor onboarding, including NDAs, account setup, and technical configuration in line with IT, Data Protection, Legal, and Security requirements. - Managing AI Committee and programme logistics, including scheduling, agenda planning, documentation, and minute-taking. - Maintaining the AI workstream action log and following up on outstanding items between meetings. - Supporting business units in defining tool and licence needs and coordinating access to ensure employees receive the required tools. - Partnering with licensing and IT teams to manage workspace setup, onboarding, access provisioning, and issue resolution or escalation. - Maintaining accurate records of licence allocations, uptake, and prioritisation across the AI portfolio. Be accountable for POC & sandbox delivery by: - Supporting proof of concept delivery, including setup, participant communication, access provisioning, progress tracking, and feedback collection. - Coordinating adoption and usage data across tools, and producing summaries, reports, and surveys to support ROI analysis. - Managing the sandbox and playground process end-to-end, including intake, approval, setup, access, and user guidance. Support budget tracking and procurement processes by: - Working with Procurement to onboard new suppliers, coordinating documentation, and supporting setup. - Raising purchase orders, tracking approvals, and following up with Finance and Procurement teams. - Reconciling invoices against licences and maintaining accurate spend records. - Supporting budget tracking and reporting against the annual budget. Lead communications and community engagement by: - Acting as the first point of contact for AI tool queries, access, eligibility, guidance, and sandbox requests - Writing and distributing AI communications, including updates, news, training announcements, and programme insights - Managing AI Teams channels, including setup, administration, recordings, and moderation - Coordinating Show & Tell sessions and training events, including scheduling, logistics, and follow-ups - Coordinating content for the company-wide AI newsletter - Maintaining Confluence and Playtech Home AI pages, ensuring content, tool registers, and documentation remain accurate and up to date Qualifications Components for Success: You… - Bring experience in project administration, programme coordination, or operations support - ideally in a technology-driven environment. - Have strong organisational and administrative skills, with the ability to manage multiple workstreams and meet tight deadlines. - Have excellent attention to detail, with confidence, maintaining project documentation to a high standard. - Have clear and professional written communication skills, able to draft meeting notes, updates, and stakeholder communications concisely and with structure. - Are comfortable working cross-functionally with a wide range of stakeholders, and confident coordinating across teams to keep processes moving. - Are proficient in Microsoft 365 - Have a genuine interest in AI and technology transformation. You’ll Get Extra Points for… - Jira and Confluence experience for planning, reporting, and programme administration. - Exposure to governance, risk, or compliance processes. - Prior experience in a fast-paced technology or transformation environment. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. - Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
AI Delivery & Operations Manager
Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? This is not just another delivery role - it’s an opportunity to shape how AI is delivered at scale across Playtech. We’re looking for an AI Delivery & Operations Manager who can bring structure to fast-paced environments, simplify complexity, and keep a highly technical team aligned and focused. If you’re motivated by delivery, operations, and tangible impact, this role offers a strong platform to contribute. Job Description Your Influential Mission: You Will… Take ownership of agile delivery management by: - Running agile delivery cadences for the Central AI team, sprint planning, stand-ups, retrospectives, and dependency management. - Owning backlog planning, ticket management, and assignment, and end-to-end delivery tracking across the team. - Defining and delivering documentation processes for the Central AI team and for business units consuming the platform. - Leading short, medium, and long-term planning, prioritisation, and reporting for the team. - Delivering projects – both fully within the AI Team, but more often including stakeholders and resources from across all Playtech Business Units Be responsible for platform operations by: - Owning monitoring and alerting, incident and problem management, post-mortems, and corrective-action tracking for the Central AI Platform. - Hands on management when incidents arise, and building a culture of safe and compliant AI operations in the AI team and across Playtech. - Defining and implementing the processes that enable other Playtech teams to adopt the AI platform safely and at scale, while maximising self-service and innovation. - Working closely with Security, Privacy, Service Ops, and business-unit teams to define and implement shared processes. Be accountable for governance, audit & compliance by - Owning audit documentation, process execution, and evidence management across relevant frameworks, including ISO 27001, Financial ITGCs, and emerging AI standards such as ISO 42001 and the EU AI Act. - Driving governance and compliance practices that keep the team and platform operating to the highest standards. Drive AI-first ways of working by: - Championing AI-first ways of working within the team: wherever possible, automate delivery, operations, and audit workflows using the AI tools and platform you help govern. - Helping set the standard for AI adoption across Playtech by proving and refining capabilities internally before rolling them out to other business units. Have the opportunity to take on people leadership responsibilities by: - managing members of the Central AI team, depending on your experience and interests. Qualifications Components for Success: You… - Bring proven Agile delivery management experience in a technical engineering environment. - Have a solid background in platform operations — monitoring, incident response, problem management, and SRE-style practices. - Have demonstrable experience handling audit and compliance evidence (ISO 27001, ITGCs, or directly comparable frameworks). - Are comfortable working cross-functionally with various stakeholders, such as Playtech Product Units, Security, Compliance, Privacy, Legal, , Service Ops, etc teams. . - Have genuine knowledge of and enthusiasm for AI systems and solutions. - Can get hands-on with AI tools and build your own workflows. You’ll Get Extra Points for… - Experience with AI or cloud platforms, particularly GCP AI / Vertex AI. - Exposure to platform onboarding and self-service operating models. - Experience automating delivery and operations workflows using AI tooling. Thrive in a culture that values… - Ownership and accountability where you take responsibility for delivery, operations, and outcomes. - Proactive collaboration across the business units and teams globally. - Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance. - Versatile and exciting challenges that keep you going and growing. - Hybrid working style – work in our modern and comfortable office as well as work from home office. Neat benefits & bonus package. Additional Information CENTRAL AI TEAM The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
Engineering Manager, AI Conversation Platform
Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities - Driving an ambitious vision for AI/ML that benefits our users - Setting the technical & process direction for the team based on business goals - Brainstorm and coordinate product integrations with partner teams - Proposing new ideas and building prototypes - Be an integral part of a larger ML community internally & externally - Hire & develop a world-class team to deliver high-quality ML systems. - Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. Minimum requirements - Have at least 4 years of experience managing ML teams - Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. - Lead by example in high-growth, high-impact, ambiguous environments - Have experience building & shipping ML systems. - Hold yourself and others to a high bar when working with production systems. - Thrive in a collaborative cross-functional environment Preferred qualifications - Experience in shipping LLM & RAG systems
AI Engineer
Company Description Аbout Playtech Founded in 1999, the company has a premium listing on the main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B and B2C businesses. Both divisions leverage Playtech’s proprietary technology to deliver innovative products and services to ensure a safe, engaging, and entertaining gaming experience. Playtech is the gaming industry's leading technology company delivering business intelligence-driven gaming software, services, content, and platform technology across the industry. Read more about who we are and what we do here: www.playtechpeople.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Recognizing differences and ensuring our processes are transparent is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? Playtech Managed Services is looking for an AI Engineer with strong system‑design thinking, exceptional collaboration skills, and a high sense of ownership. Job Description Your influential mission. You will... - Build AI‑powered applications using modern LLMs, RAG, and AI agents to deliver intelligent, high‑impact enterprise capabilities. - Develop scalable backend services using Python, server‑side JavaScript, and .NET, ensuring clean, maintainable architecture. - Create modern web applications using React and contribute across the full stack. - Design and implement APIs, microservices, and system integrations for robust distributed systems. - Develop and optimize SQL, NoSQL, and vector database solutions to support AI workloads. - Build data pipelines, ETL/ELT flows, and AI knowledge repositories for structured and unstructured data. - Deploy and operate solutions in cloud environments (Azure preferred), ensuring reliability and scalability. - Apply strong security, performance, and observability practices across all systems. Qualifications Components for success. You... - Bring 3+ years of software engineering experience building production‑grade systems. - Work confidently with backend frameworks using Python, FastAPI, Flask, Node.js, and .NET. - Apply practical AI/ML knowledge including LLMs, Generative AI, RAG architectures, and AI agents. - Demonstrate strong API expertise in REST, microservices, and modern integration patterns. - Utilize databases including SQL Server, PostgreSQL, MySQL, MongoDB, Cosmos DB, Redis, and vector stores such as Azure AI Search, Pinecone, Weaviate, or Milvus. - Apply prompt engineering, semantic search, and AI evaluation strategies to improve reliability. - Understand data modeling, query optimization, and pipeline development for JSON, CSV, and unstructured data. - Work with modern cloud and DevOps tools including Azure, Docker, Kubernetes, and monitoring systems. - Communicate clearly through strong documentation and cross‑team collaboration. - Bridge AI and full‑stack engineering to deliver robust, scalable enterprise solutions. You'll get extra points for... - Experience with agentic AI platforms and advanced workflow orchestration. - MLOps and AI governance experience in enterprise or regulated environments. - Architecture, system‑design thinking, and technical leadership. - Building internal tools, designing data pipelines, or contributing to platform‑level AI capabilities. Additional Information Thrive in a culture that values... - Contribution and achievements by offering an ample of opportunities for internal growth. - Employees' health and well-being through comprehensive health and dental insurance plans, life insurance, MultiSport card, employee assistance program and food, travel, and wellness allowances. - Work-life balance by providing 25 days of paid annual leave, allowing you to relax and recharge. - Continuous growth with company-sponsored seminars, training programs, social activities, and events, guiding your professional journey and helping you achieve your career goals. - Celebrating life events with additional bonuses such as newlywed, and baby bonuses. PLAYTECH MANAGED SERVICES Established in 2007 in Sofia, Bulgaria, Playtech Managed Services, a company of Playtech Group has grown into a thriving hub of 500 dedicated professionals, fostering a culture of collaboration, respect, and support. Specializing in customer support and risk management services for leading gaming platforms worldwide, our teams boast industry-leading response times and expertise. At Playtech Managed Services, we prioritize the personal and professional development of our team members, offering opportunities for both horizontal and vertical growth. Our dedicated employees invest their time and expertise in our success, and in return, we invest our passion in them. We provide a fun, creative, rewarding, and inspiring environment where individuals have the freedom to express themselves. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.
AI Programmer
AI Programmer at Cloud Imperium Games. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 13.09.2025.
Machine Learning Engineering Manager - Fraud Detec...
About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Risk Detection is focused on providing a delightful experience for our merchants and minimizing friction, while ensuring the safety of our users in the financial ecosystem. Whenever the Risk team takes action on an account, we work to notify Merchants and provide clear status on what’s happening, enable guided workflows for resolving their issues, and redefine our overall Risk processes to make them as smooth as possible for good merchants. What you’ll do We’re looking for an engineering leader to lead and grow a strong team of engineers, build relationships with customers internally and externally, and champion our vision of making Stripe’s risk management a feature that attracts and retains merchants, and becomes a product differentiator. This is an exciting opportunity to partner with teams across Stripe to build the best merchant experience, and contribute directly to Stripe’s growth. Responsibilities - Support the team in delivering a high level of technical quality and impact via APIs, user-facing experiences, services, and systems - Recruit, hire, scale, and develop an amazing team of engineers - Executing cross-functionally with leadership, product teams, infra teams & risk strategists - Be actively involved in strategic direction and platform decisions that impact all of Stripe and Stripe customers Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - At least 3 years of engineering management experience - Prior experience as a Machine Learning Engineer or equivalent Preferred qualifications - You have managed teams that can collaborate with product teams, respond rapidly to customer needs along with building technology and capabilities that are strategic and foundational in nature - Enjoy designing, measuring & improving user experience - You are empathetic to customer needs but visionary enough to not just deliver a faster horse - You are comfortable planning in quarters, and can set a vision for several years - You are comfortable working with geographically distributed teams and remote workers
AI-native Product Engineer
AI-native Product Engineer at Lotum media GmbH. German games industry role. Company category: Developer & Publisher. Job category: Tech / Programming. Job type: Full-Time. Added: 13.06.2026.
Lead Data Scientist, Sports
Company Description We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our global worldwide. Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy. Qualifications - Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives. - Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field. - Proven success in leading the design, development, and deployment of sophisticated predictive models. - Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, - Proven ability to design and implement complex machine learning solutions and guiding best practice. - Deep understanding of statistical analysis and probability theory. - Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. - Track record of mentoring junior colleagues and successfully leading technical projects. - Experience with cloud computing environments for scalable solutions. Additional Information - Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches. - Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. - Developing predictive models and algorithms using statistical techniques and machine learning. - Conducting and supervising rigorous statistical validation of models against historical and live data. - Collaborating with trading teams to incorporate domain expertise into mathematical models. - Partnering with software architects and developers to ensure alignment with technical solutions. - Optimising model performance for both accuracy and computational efficiency. - Researching and implementing novel approaches from academic literature and industry advancements. - Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities. - Identifying and defining new opportunities for data-driven insights. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.
Lead Data Scientist, Sports
Company Description We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our global worldwide. Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy. Qualifications - Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives. - Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field. - Proven success in leading the design, development, and deployment of sophisticated predictive models. - Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, - Proven ability to design and implement complex machine learning solutions and guiding best practice. - Deep understanding of statistical analysis and probability theory. - Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. - Track record of mentoring junior colleagues and successfully leading technical projects. - Experience with cloud computing environments for scalable solutions. Additional Information - Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches. - Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. - Developing predictive models and algorithms using statistical techniques and machine learning. - Conducting and supervising rigorous statistical validation of models against historical and live data. - Collaborating with trading teams to incorporate domain expertise into mathematical models. - Partnering with software architects and developers to ensure alignment with technical solutions. - Optimising model performance for both accuracy and computational efficiency. - Researching and implementing novel approaches from academic literature and industry advancements. - Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities. - Identifying and defining new opportunities for data-driven insights. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.
Data Scientist
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: - Apply causal inference methods where experimentation isn't feasible - Develop models and analyses that inform pricing, segmentation, and revenue optimization - Design, run, and analyze A/B experiments - Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks - Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making You Have: - 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field - Proficiency in SQL - Proficiency with Python or R - Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods - Strong communication skills across technical and non-technical stakeholders - Comfort building dashboards and recurring reporting
Head of Software Engineering Acceleration (AI DevX...
Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward. Position Summary Scientific Games is seeking a senior leader to accelerate software engineering across a global organization by improving developer workflows, engineering systems, and AI-enabled development practices. This role focuses on removing friction across the software delivery lifecycle including tooling, testing, code reviews, documentation, repository guidance, and team collaboration to help engineers build faster and more effectively. The ideal candidate can move between strategy and execution, identify bottlenecks, and drive scalable improvements across teams. They will build a small, high-impact team and lead SG’s approach to engineering acceleration, leveraging AI where it adds value while creating reusable systems, best practices, and measurable gains in productivity. Qualifications Background That Fits This role likely fits someone with deep experience across engineering systems, DevX, platform engineering, developer productivity, or internal tooling, with strong working knowledge of modern AI development tools and agentic workflows. A good candidate may come from a few different paths. They may have led a developer productivity or platform team in a large engineering organization. They may have built internal developer tooling and later grown into broader engineering systems leadership. They may come from a strong software engineering background and have spent the last few years helping teams use AI tools in a structured, practical way. The role needs strong engineering credibility, good judgment, and clear writing. It also needs someone who can tell the difference between activity and progress. Experience That Would Help - Broad experience in software engineering, platform, DevX, or engineering systems work - Experience leading cross-functional technical efforts across a large engineering organization - Good feel for SDLC bottlenecks, testing maturity, CI/CD, review flow, and repo health - Familiarity with AI coding tools, agentic coding patterns, repo-aware guidance, and evaluation methods - Evidence of building shared systems or patterns that other engineers actually adopted - Comfort working in a polyglot environment with different languages, repos, and local processes Experience That Fits - 12+ years of experience across software engineering, product engineering, platform engineering, or technical product development - 5+ years leading efforts to help development teams build faster, with higher quality, and more joy - Proven track record of building and delivering mechanisms that understand bottlenecks builders face and solve for them - Experience operating effectively within large, complex systems, including legacy platforms - Automating testing across unit, integration, contract, regression, performance, and end-to-end testing Work Conditions Scientific Games, LLC and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you. This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above. SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .
Senior Data Scientist
Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward. Position Summary About the Role We are looking for a founding Senior Data Scientist to help build high-impact decision systems in a fast- paced, startup-style environment within a large organization. This is a hands-on builder role for candidates who thrive in ambiguity, move quickly from idea to production, and are energized by turning complex business problems into scalable data products. You will work closely with Staff and Principal Data Scientists to deliver production-grade systems across forecasting, experimentation, constrained optimization, pricing, and batch and real-time recommendation systems. The role requires strong end-to-end ownership from problem framing and modeling through production deployment using self-service ML platform tooling. Qualifications About the Role We are looking for a founding Senior Data Scientist to help build high-impact decision systems in a fast- paced, startup-style environment within a large organization. This is a hands-on builder role for candidates who thrive in ambiguity, move quickly from idea to production, and are energized by turning complex business problems into scalable data products. You will work closely with Staff and Principal Data Scientists to deliver production-grade systems across forecasting, experimentation, constrained optimization, pricing, and batch and real-time recommendation systems. The role requires strong end-to-end ownership from problem framing and modeling through production deployment using self-service ML platform tooling. This role is based out of Toronto Key Responsibilities - Design, build, and deploy end-to-end decision science systems spanning demand forecasting, experimentation, portfolio optimization, pricing, and recommendation systems - Build batch and real-time recommendation pipelines using multi-stage cascading ranking architecture, including candidate generation, pre-ranking, ranking, and re-ranking - Translate ambiguous business problems into structured hypotheses, measurable KPIs, experimentation plans, and production solutions - Partner closely with MLEs to leverage self-service deployment tooling, observability, shadow deployment, canary rollout, and KPI monitoring workflows - Own one or more domain problem areas end-to-end, driving measurable business impact through fast iteration cycles - Contribute to modeling standards, code quality, validation rigor, and experimentation best practices established by Staff and Principal DS leadership - Mentor junior Data Scientists and contribute to the technical growth of the founding team Required Qualifications Education - Master’s degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience - 2+ years of hands-on experience in data science, decision science, econometrics, or applied machine learning - Proven ability to independently deliver end-to-end data science systems from problem framing through measurable production impact - Demonstrated experience in at least two of: forecasting, experimentation, optimization, recommendation systems, pricing, causal inference, or portfolio science - Comfortable operating in fast-paced, startup-style environments with evolving priorities and high ownership expectations Technical Skills - Strong Python proficiency across pandas, scikit-learn, PyTorch, and TensorFlow - Strong SQL and large-scale data manipulation experience - Solid grounding in statistical modeling, machine learning, experimentation, and optimization - Hands-on experience building production-grade batch and low-latency real-time decision systems - Familiarity with multi-stage ranking systems, ANN retrieval, embeddings, and vector search is strongly preferred Soft Skills - Strong communication skills with ability to present complex findings to business and technical stakeholders - Collaborative mindset with ability to work cross-functionally with DS, MLE, and product teams - Strong execution bias and comfort with rapid iteration under ambiguity Preferred Qualifications - Experience as an early or founding Data Scientist in a new team or product area - Hands-on portfolio optimization, assortment optimization, payout optimization, or mathematical programming - Experience with personalization, gaming, retail, marketplace, or digital consumer decision systems - Familiarity with Databricks, PySpark, MLflow, experimentation tooling, and cloud-native deployment workflows - Strong product intuition for balancing revenue, engagement, margin, and responsible use constraints SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .
Staff Data Scientist
Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward. Position Summary About the Role We are looking for a founding Staff Data Scientist to help build the decision science function from the ground up and translate our long-term product and decisioning vision into scalable production systems. This is not a maintenance role. As an early senior technical leader, you will work closely with the Principal Data Scientist, Staff peers, and Senior Data Scientists to define the modeling standards, decision science patterns, and execution playbooks that will become the backbone of the organization. This role sits at the intersection of technical depth, platform leverage, and strategic execution. Despite being part of a large organization, the team operates with a startup mindset: fast-paced, highly iterative, and biased toward rapid execution, learning, and measurable business impact. You will own some of the organization’s highest-value problems across forecasting, experimentation, personalization, recommendation systems, portfolio optimization, pricing, and player decision systems. Qualifications About the Role We are looking for a founding Staff Data Scientist to help build the decision science function from the ground up and translate our long-term product and decisioning vision into scalable production systems. This is not a maintenance role. As an early senior technical leader, you will work closely with the Principal Data Scientist, Staff peers, and Senior Data Scientists to define the modeling standards, decision science patterns, and execution playbooks that will become the backbone of the organization. This role sits at the intersection of technical depth, platform leverage, and strategic execution. Despite being part of a large organization, the team operates with a startup mindset: fast-paced, highly iterative, and biased toward rapid execution, learning, and measurable business impact. You will own some of the organization’s highest-value problems across forecasting, experimentation, personalization, recommendation systems, portfolio optimization, pricing, and player decision systems. This role is based out of Toronto. Key Responsibilities - Lead the design and delivery of high-impact decision science systems across forecasting, constrained optimization, experimentation, and batch and real-time recommendation systems - Translate ambiguous business opportunities into structured modeling roadmaps, milestones, and measurable KPI frameworks - Partner with the Principal Data Scientist to establish modeling standards, experimentation guardrails, validation frameworks, and deployment playbooks for the founding DS organization - Build production-grade decision engines spanning player personalization, next-best-action systems, pricing, portfolio optimization, and retail recommendation use cases - Drive the design of multi-stage recommendation and ranking architectures, including retrieval, pre-ranking, ranking, and re-ranking - Mentor Senior and mid-level Data Scientists while raising technical rigor across statistical thinking,causal inference, optimization, and experimentation - Shape the evolution of reusable DS workflows that integrate cleanly with the self-service ML platform being built by the founding MLE team Required Qualifications Education - Master’s degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience - 6+ years post-Master’s experience or 4+ years post-PhD experience in data science, decision science, econometrics, or applied machine learning - Proven experience leading ambiguous, high-impact data science initiatives from framing through production business impact - Strong experience in at least three of: forecasting, optimization, experimentation, recommendation systems, pricing, portfolio science, or causal inference - Experience mentoring Data Scientists and shaping technical standards beyond individual project delivery Technical Skills - Strong Python proficiency across pandas, scikit-learn, PyTorch, and TensorFlow - Deep expertise in statistical modeling, experimentation, causal inference, and optimization - Strong SQL and large-scale data experience - Hands-on experience building batch and real-time recommendation or decision systems - Familiarity with multi-stage cascading ranking architectures and decision APIs Leadership - Ability to translate long-term product vision into executable decision science roadmaps - Strong technical mentorship and review discipline - Ability to influence DS standards, experimentation culture, and KPI rigor across the founding team Preferred Qualifications - Experience as a founding or early senior hire in a new DS organization - Hands-on portfolio optimization, payout optimization, assortment optimization, or mathematical programming - Experience with personalization, gaming, retail, marketplace, or digital consumer decision systems - Experience working with self-service experimentation and ML platforms - Familiarity with Databricks, PySpark, MLflow, and cloud-native deployment workflows - Strong product intuition for balancing revenue, margin, player engagement, and responsible gaming constraints SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .
Staff Machine Learning Engineer
Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward. Position Summary About the Role We are looking for a Staff Machine Learning Engineer to define and build the machine learning platform architecture for the organization. This team will create the enabling layer that allows Data Scientists to self-serve deployment, experimentation, batch scoring, online inference, monitoring, and safe rollout workflows . This is a platform creation role, not a platform operations gatekeeper role . The success metric is not how many deployments the team executes directly, but how effectively the platform allows domain Data Scientists to deploy independently through highly reliable self-service workflows. The initial Staff MLE hires will establish the architectural foundations, engineering standards, reusable tooling strategy, and platform roadmap that the Senior MLE team will scale. This role is based out of Toronto. Qualifications Key Responsibilities - Define the target architecture and phased roadmap for the organization’s first ML platform - Build self-service deployment frameworks enabling Data Scientists to productionize models independently - Architect reusable capabilities for model registry, deployment orchestration, feature retrieval, inference routing, observability, and rollback - Define golden paths for batch inference, real-time serving, shadow deployment, canary rollout, A/B testing, and full production release - Establish platform engineering standards across SDKs, templates, CI/CD, testing, infrastructure-as-code, and developer workflows - Design platform primitives that support recommendation systems, forecasting, optimization, and experimentation use cases - Mentor Senior MLEs and raise software engineering quality, architecture rigor, and platform thinking across the team - Partner with Data Science leadership to ensure the platform accelerates DS velocity rather than introducing process friction Required Qualifications Education - Master’s degree in Computer Science, Engineering, Distributed Systems, Machine Learning, or another related STEM field - Bachelor’s degree with exceptional relevant platform engineering depth is acceptable Experience - 5+ years of hands-on experience in ML engineering, platform engineering, or large-scale production ML systems - Proven experience designing platform architecture and reusable ML tooling standards - Experience building self-service internal platforms, developer tooling, or ML deployment frameworks - Strong experience enabling applied Data Science teams through reusable infrastructure rather than centralized service models - Experience leading architecture decisions and mentoring engineers Technical Skills - Deep expertise in ML systems architecture across batch and low-latency real-time serving - Strong hands-on experience with Docker, Kubernetes, infrastructure automation, and cloud-native ML workloads - Strong expertise in model lifecycle tooling including MLFlow, registries, validation gates, and promotion workflows - Advanced experience designing CI/CD, canary, rollback, and deployment safety systems for ML - Experience with feature stores, online/offline feature parity, and low-latency feature retrieval - Strong Python engineering standards and ability to write production-grade frameworks and SDKs Leadership - Demonstrated ability to define technical direction for platform teams - Strong mentorship track record for Senior and mid-level MLEs - Strong cross-functional influence with DS, data platform, and product engineering teams - Bias toward building self-service systems that maximize organizational leverage Preferred Qualifications - Experience building greenfield ML platforms from zero to scaled enterprise adoption - Experience supporting self-service recommendation, ranking, forecasting, and optimization systems - Familiarity with Databricks, Azure ML, SageMaker, Vertex AI, or equivalent ML platforms - Experience building internal developer portals, CLIs, or workflow SDKs - Strong platform product thinking focused on usability, adoption, and DS productivit SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .
Senior Machine Learning Engineer
Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward. Position Summary About the Role We are looking for a Senior Machine Learning Engineer to help build the foundations of our machine learning platform from the ground up. This role is not about creating a centralized gatekeeping team. Instead, the mission is to build self-service ML tooling and golden paths that enable Data Scientists to independently take models from experimentation to reliable production deployment across batch and real-time use cases. You will partner closely with Staff MLEs, Data Scientists, and platform stakeholders to establish the first generation of reusable ML infrastructure, deployment workflows, observability standards, and developer experience patterns that scale across the organization This role is based out of Toronto. Qualifications Key Responsibilities - Build reusable self-service tooling for model packaging, deployment, batch inference, and real-time serving - Develop platform capabilities that enable Data Scientists to independently deploy, monitor, and iterate on their own models in production Build foundational ML workflows including model registry, environment promotion, rollback, feature access patterns, and inference APIs - Design CI/CD pipelines for automated training, validation, shadow deployment, canary rollout, rollback, and full production promotion workflows - Establish golden-path templates, SDKs, CLIs, and reference implementations to standardize ML system delivery - Contribute to observability standards across model health, latency, feature freshness, data quality, and business KPI monitoring - Partner with Staff MLEs to shape the first-generation architecture of the ML platform Required Qualifications Education - Master’s degree in Computer Science, Engineering, Machine Learning, Software Engineering, or another related STEM field - Bachelor’s degree in a related STEM field with strong equivalent industry depth is also acceptable Experience - 3+ years of hands-on experience in ML engineering, platform engineering, or production ML systems - Proven experience building production batch and real-time ML systems • Experience working closely with Data Scientists to productionize models and experimentation workflows - Strong experience building reusable tooling, frameworks, or internal developer platforms Technical Skills - Strong Python and software engineering fundamentals - Hands-on experience with PyTorch and TensorFlow model deployment workflows - Experience with Docker, Kubernetes, and cloud-native deployment patterns - Strong CI/CD experience using GitHub Actions and cloud-native CI/CD workflows - Experience with MLflow, model registry workflows, and multi-environment promotion - Strong understanding of API-based inference services, async batch scoring, and event-driven pipelines Soft Skills - Strong collaboration with Data Scientists and product engineering teams - Builder mindset with focus on developer experience and adoption - Ability to translate infrastructure complexity into simple self-service workflows Preferred Qualifications - Experience building internal ML platforms from zero to first scaled adoption - Experience with feature stores and reusable feature access SDKs - Familiarity with Databricks, PySpark, Airflow, or equivalent orchestration tooling - Experience with self-service experimentation and A/B testing tooling - Experience designing platform abstractions that maximize DS autonomy without compromising reliability SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .
Strategic Finance, Systems & AI Innovation
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Strategic Finance team is focused on solving some of Figma's most pressing business issues. The team is responsible for owning the company's budget, driving annual and quarterly planning processes, allocating and deploying the company's resources efficiently, performing financial analyses, and partnering with teams across the company. This role requires someone who can own and evolve the finance systems backbone at Figma and drive outsized impact as we scale toward more automated, intelligent, and AI-enabled planning. We're looking for someone who is highly analytical and strategic, a great communicator, approaches problems in a structured manner, and is comfortable with ambiguity. You'll get substantial visibility, focus on the highest-priority business issues, and be plugged into every facet of the business. This is a full-time role that can be held from one of our US hubs (SF / NY) or remotely in the United States. What you'll do at Figma: - Drive the execution of transformational projects by applying their finance and systems expertise, collaborating with partners across the organization, and defining business processes that improve automation, standardization, and simplicity - Influence Figma Finance's AI adoption strategy, defining how AI can be embedded into systems and workflows as infrastructure to drive analysis, reporting, and forecast decisions and execute on adoption alongside the team - Serve as the functional and technical owner of the financial planning platform (Pigment), leading development, enhancement, training, enablement, maintenance, and administration - Own the systems roadmap end-to-end, including prioritization, resource deployment, UAT, and governance - Design and evolve a best-in-class systems architecture, optimizing data flows, integrations, and tooling with influence extending beyond Pigment and Finance data to the broader company data ecosystem - Establish strong cross-functional partnerships with Strategic Finance Data Science, Data Engineering, Accounting, and Operations to influence data architecture, design integrations and optimize business processes & sophisticated forecasting in Pigment and Agentic tooling - Develop dashboards and dat
Autonomous driving researcher
Responsibility: 1.Carry out fundamental study and research on cooperative perception for networked vehicles. 2.Study the principle and content of transmitted data between different connected autonomous driving cars. 3.Basic machine learning knowledge of sensor fusion and perception models considering cross-vehicle cooperation and corresponding decision-making policy. 4.Patents applications and algorithms and protocols design of AI-aided connected cars 5.POC development and real-world trial support 6.Market investigation and business model creation Requirement: 1. EE or CS PhD with good spoken English 2.Familiar with wireless network communication systems 3.Experience in autonomous diving development such as image/lidar perception, sensor fusion, autonomous drivining algorithm 4.Familiar with AI architecture and algorithms 5.Matlab or Phython programing capability Sony Introduction Sony Group Corporation is a creative entertainment company with a solid foundation of technology. Across its six business segments - Game & Network Services; Music; Pictures; Entertainment, Technology & Services; Imaging & Sensing Solutions; and Financial Services - Sony's purpose is to fill the world with emotion through the power of creativity and technology. Bring your uniqueness to Sony We recognize that each and every one of us is original and different. Diversity and inclusion are in our DNA, they drive innovation. We empower our people to achieve one goal: to fill the world with emotion, through the power of creativity and technology. Disability Accommodation for Applicants We are committed to creating greater corporate values and better practicing social responsibilities through diversity and various perspectives. We strive to maintain a safe and healthy work environment free from discrimination and harassment, in which individuals can realize their full potential. Sony respects and promotes inclusiveness and diversity of talent by providing equal work opportunities without discrimination based on ethnicity, nationality, religion, gender, age or other factors.
AI Programmer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is looking for an experienced AI Programmer to join the Fortnite Battle Royal AI team. We believe that the best gameplay experiences are driven by collaboration and iteration between gameplay programmers, designers, and artists. You will play a critical role in driving future gameplay AI features in Fortnite. In this role, you will - Work closely with art and design to create and iterate on gameplay AI features - Experiment with game design and use rapid prototyping while ensuring that strong architectural and algorithmic decisions are made - Drive, build and maintain core AI systems in the Fortnite AI ecosystem - Collaborate with engine AI developers to improve AI systems - Ensure high-quality user experiences across all platforms we support - Optimize and fix bugs in existing gameplay AI systems What we're looking for - Experience developing games professionally, and shipping AAA titles with AI experience - Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, etc.) - Strong C++ skills and the ability to code and architect AI gameplay mechanics and tools - Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred) - Excellent communication and interpersonal skills - Experience working on a live service game is a plus - Self-motivated, strong work ethic, and able to work independently - Creativity in problem-solving and the ability to think outside of the established solutions EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees
Research Intern on Generative and Protective AI fo...
Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony’s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/ Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie, game, and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game, and music production across entertainment studios worldwide. Responsibilities As a research intern, you will investigate and apply novel algorithms related to: The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution. Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts. Required Qualifications - Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields. - Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. - Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch) and visualization (e.g., TensorBoard). - Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and ICML. - Excellent communication and presentation skills. Preferred Qualifications - Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $45.00 per hour. The individual will be paid hourly and eligible for overtime . LI-AS1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)
Sr. Software Engineer, AI Native
Join the Sony Engagement Platform Services (SEPS) Team, where innovation meets collaboration in the dynamic world of digital engagement. At SEPS, we are building the next-generation platform that powers how fans connect with the content—and the creators—they love. Our mission is to unlock meaningful, data-driven engagement across Sony’s entertainment ecosystem, from games and anime to music, film, and live experiences—empowering both internal teams and external partners to build at scale. Our mission is to create a world-class engagement platform that not only enhances existing revenue streams but also drives new opportunities through a robust ecosystem of partners and creators. By decoupling application development from platform services, we empower our teams to deliver exceptional solutions with agility and efficiency. If you are passionate about shaping the future of digital engagement and want to be part of a vibrant community that values creativity and collaboration, we invite you to explore the exciting opportunities within our team. Together, we will shape the future of fan experiences and define the foundation for what’s possible in the realm of engagement. To learn more visit: www.sony.com/en/SonyInfo/technology/stories/entries/sep_introduction/ Role Overview SEPS is seeking a highly skilled and experienced AI-Native Senior Software Engineer to support the development of the applications that power the Sony Engagement Platform. In this role, you will design and build secure, scalable, and high-performing solutions that deliver exceptional user experiences across Sony's global ecosystem. As a Senior Engineer, you will contribute to both front-end and back-end systems, playing a hands-on role in architecture, implementation, and technical leadership. You will operate as part of an AI-native tiny team, directing and governing AI agents across the full delivery lifecycle. You’ll collaborate closely with product managers, designers, and other engineering teams to build robust, maintainable applications. This is a dynamic opportunity for individuals who thrive in a fast-paced, innovation-driven environment and are passionate about solving complex challenges with clean, thoughtful code. This position is a hybrid role requiring 3 days on-site in our Culver City, CA Office. Responsibilities - Architect, design and develop RESTful API Endpoints, ensuring high performance, scalability and maintainability. - Collaborate closely with front-end engineers to build dynamic, responsive, and user-centric web applications that deliver seamless user experiences. - Define robust data models and database schemas, and manage relational or NoSQL databases with a strong emphasis on data integrity and performance optimization. - Direct and govern AI coding agents across the delivery lifecycle, setting context, reviewing agent-generated output, and enforcing SEPS delivery standards at every gate. - Design and maintain agent workflows using agentic coding tools (Claude Code, Cursor, Copilot) and the AI-native development framework, ensuring structured, auditable, and high-quality delivery. - Configure and maintain prompt engineering patterns, structured output schemas, with rules and guardrails to align agent behavior with SEPS platform standards. - Trace, debug, and triage agent tool calls, prompt failures, and unexpected outputs, maintaining visibility into AI-assisted delivery at every stage. - Create and maintain clear, comprehensive documentation for application architecture, design, configuration, and ongoing maintenance. - Provide accurate task estimations and delivery timelines, contributing to effective sprint planning and execution. - Participate in the on-call rotation, responding promptly to production issues and ensuring system stability and uptime. - Mentor and support junior engineers, fostering a culture of AI-native ways of working, learning, and continuous improvement - Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above Minimum Qualifications - 5+ years professional experience working with medium/large complex code bases - Experience in Full Stack development - Experience with one or more of the following programming languages: Java, Go, or Python - Experience in REST API design and implementation - Highly Proficient in HTML, CSS, the JavaScript ecosystem and familiarity with popular frameworks like React, Angular, Ember, Jest, Babel, and TypeScript - Knowledgeable in UI/UX design principles - Demonstrated proficiency with AI-native coding tools (Claude Code, Cursor, or GitHub Copilot) as a primary delivery vehicle, not a productivity add-on - Working knowledge of prompt engineering, context management, and structured output patterns - Familiarity with agent development concepts, tool use, function calling, approvals, and workflow chaining - Awareness of secure AI coding practices including prompt injection, sandbox basics, and access control - Strong communication and interpersonal skills - Desire to collaborate and to develop strong and positive team relationships - Attention to detail, organizational skills, a strong work ethic and the ability to work independently. Preferred Qualifications - Bachelor’s degree in Computer Science or related field, or at least three years of proven experience in lieu of a degree - Demonstrated ability to write clean, maintainable, and well-documented code. - Database management, cloud technologies (AWS), and containerization (Docker, Kubernetes) - Knowledge of React best practices - Familiarity with DevOps tools and practices, including CI/CD pipelines - Automated deployment tools (e.g. Terraform, Ansible, Jenkins) - Experience with the AI-native development framework (e.g. BMad Method) - Familiarity with MCP, A2A concepts, tool-connection patterns, and agent skill configuration - Eval basics, writing test cases, applying LLM-as-judge concepts, and defining acceptance criteria for AI-generated output - Experience tracing and debugging prompt chains, tool calls, and agent failures - Understanding of hallucination reduction techniques, prompt caching, and model fallback strategies - Excellent problem-solving skills and attention to detail - Experience with Agile development methodologies such as SAFe, Scrum Benefits: SCA offers benefits-eligible employees ( generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well-being. What we offer you: - Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents , including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) - Employee assistance plan and comprehensive behavioral health benefits - Fertility benefits, including surrogacy , and adoption assistance programs - Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children - Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance - Short-term & long-term disability plans - Paid parental and caregiver leave - 401(k) Plan with pre-tax, Roth, and after-tax options and company match w ith immediate vesting - Education assistance and student loan programs Other Programs: - Flexible Work Arrangements, including remote and hybrid work schedules - Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release ) , and a winter break between Christmas and New Year ’s Day (based on business needs) - Referral bonuses (subject to eligibility) - Matching gift program - A wide variety of employee business resource groups (EBRGs) - Special discounts on Sony products, offered exclusively to Sony employees - Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) - Annual incentive bonus The anticipated annual base salary for this position is $180,000 - $205,000. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. LI-AS1 SCA will consider qualified applicants with arrest or conviction records in accordance with applicable law . All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)
Research Intern on Generative and Protective AI fo...
Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony’s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/ Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide. Responsibilities As a research intern, you will investigate and apply novel algorithms related to: The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution. Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts. Required Qualifications - Master’s degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. - Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. - Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). - Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML. - Excellent communication and presentation skills. Preferred Qualifications - Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime . LI-AS1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)
Staff Research Engineer – Computer Graphics, Next...
Sony Corporation of America , located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: www.sony.com/en . Position Summary Sony Corporation of America currently has an opening for Staff Research Engineer in our U.S. Research Center located in Culver City, CA. This position is responsible for leading technical efforts on developing AI/ML based animation core technologies and producing Next Gen. photo-real 3D CG animation content for Sony’s future business and services. Responsibilities include driving technical requirements for novel animation algorithm R&D in close collaboration with Sony’s professional creators and world-class research scientist teams to analyze, benchmark, validate and develop complex algorithms of novel 3D content creation workflow efficiently. Finally, you will be responsible for invention disclosures, working with patent attorneys to secure intellectual property. JOB RESPONSIBILITIES - Technical Lead in fundamental theories, principles and algorithm development in the field of AI/ML 3D CG animation and visualization based on scientific survey, analysis, benchmark and validation. - Actively engage in project’s new initiatives and strategy. Support, propose and contribute to project plan for new business creation. - Document all phases of research and development. - Oversee submission of intellectual property. - Travel to visit project collaborators in oversea. - Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above QUALIFICATIONS FOR POSITION Your qualifications and experience should include: - PhD in Computer Science, or Electrical Engineering, or related scientific field, is required. - Solid publication record in AI/ML based 3D CG animation algorithm research, particularly in the field of facial animation, hair or garment modeling/simulation. - 4+ years of industry experience, preferably in 3D Computer Graphics. - Excellent communication skills are required. - Highly proficient with Unreal Engine (MetaHuman), Maya, or related CG platforms. - All candidates must be authorized to work in the USA. We are committed to creating an inclusive employee experience for you to thrive as part of Sony’s purpose to “fill the world with emotion through the power of creativity and technology. ” Benefits: SCA offers benefits-eligible employees ( generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well-being. What we offer you: - Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) - Employee assistance plan and comprehensive behavioral health benefits - Fertility benefits, including, surrogacy, and adoption assistance programs - Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children - Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance - Short-term & long-term disability plans - Up to 12 weeks of paid parental and caregiver leave - 401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting - Education assistance and student loan programs Other Programs: - Flexible Work Arrangements, including remote and hybrid work schedules - Time off to include vacation, paid holidays, sick leave, Summer Fridays ( early release ), and a winter break between Christmas and New Year’s Day (based on business needs) - Referral bonuses (subject to eligibility) - Matching gift program - A wide variety of employee business resource groups (EBRGs) - Special discounts on Sony products, offered exclusively to Sony employees - Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) The anticipated annual base salary for this position is $180,000 to $205,000. In addition to the annual base salary, this role has an annual bonus target of 13%. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. LI-AS1 SCA will consider qualified applicants with arrest or conviction records in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)
Manager, AI Accelerator Business Partner
Sony Corporation of America , located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: www.sony.com/en . POSITION SUMMARY Sony Corporation of America (SCA) is seeking a Manager, AI Accelerator Business Partner to serve as a strategic connector across functions, helping departments and leaders identify , prioritize, and address business challenges through AI-enabled solutions. This role operates as a strategic advisor and co ‑ driver of AI ‑ enabled business transformation , leading cross-functional AI initiatives from discovery through implementation and scale. Partnering directly with senior leaders and subject matter experts, the Manager helps shape priorities, translate operational challenges into practical AI use cases, drive experimentation and adoption, and deliver measurable business value. In addition, the role supports the redesign of workflows and decision ‑ making processes to better leverage AI and improve overall efficiency and effectiveness. A key expectation of this role is to enable business teams to build the capability to independently identify and apply AI over time, reducing reliance on centralized support and fostering sustainable, long ‑ term adoption. The role requires a high degree of autonomy, with responsibility for setting direction, managing complexity, and advancing AI adoption and new ways of working across the organization. The ideal candidate brings strong business partnering, problem-solving, program management, and change leadership skills, along with a solid understanding of AI capabilities, limitations, and responsible use practices. This position will be on a Hybrid schedule with at least 3 days per week in the New York, NY office. JOB RESPONSIBILITIES - Business partnership and problem discovery: Serve as a trusted partner to leaders across functions to assess business priorities, identify pain points and workflow inefficiencies, and uncover high-value opportunities where AI can improve productivity, decision-making, employee experience, or business outcomes. - AI opportunity identification and prioritization : T ranslate business needs into clear AI use cases , assess feasibility, business value, risk, and organiz ational readiness, and partner with leaders to prioritize initiatives based on impact, scalability, and resource requirements , while considering opportunities to improve or redesign broader workflows - Cross-functional coordination: Serve as a key connector across business stakeholders and AI, data, technology, privacy, security, legal, and change management partners to align priorities and move initiatives from idea through pilot, implementation, and scale. - Use case development and implementation support: Lead definition of business requirements, success metrics, process changes, and adoption plans for AI initiatives, and guide pilots and proofs of concept to ensure solutions address real business needs and are designed for sustainable outcomes. - Change management and adoption: Lead change management efforts to build awareness, engagement, and readiness across teams by partnering with leaders to communicate the purpose of AI initiatives, address resistance and ambiguity, and reinforce practical, responsible use in day-to-day work. - Value measurement and continuous improvement: Establish success metrics, track outcomes, gather stakeholder feedback, and translate insights into actions that refine solutions, strengthen adoption, and identify additional opportunities for scale and broader impact - AI capability building and self-sufficiency : Strengthen AI literacy and practical understanding across functions by curating and sharing relevant use cases, lessons learned, and resources . Actively support business teams in developing the ability to independently identify , prioritize, and apply AI , enabling more self ‑ sustaining and scalable adoption over time. - Governance and responsible use: Guide alignment of AI initiatives with company policies and data privacy, legal, security, and ethical standards, and partner with relevant teams to enable compliant, responsible, and scalable deployment. - Executive communication: Develop clear executive updates, recommendations, and decision-support materials that help leaders evaluate AI opportunities, monitor progress, understand risks and outcomes, and make informed decisions. - Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above . QUALIFICATIONS FOR POSITION Your qualifications and experience should include: - Bachelor’s degree in B usiness , Information Technology, Organizational Development, Operations, Human Resources, or a related field; advanced degree preferred. - 7+ years of experience in business partnership, transformation, consulting, operations, or a related field, with demonstrated ownership of cross-functional initiatives and stakeholder management at senior levels. - Experience partnering across multiple departments and influencing leaders without direct authority. - Demonstrated ability to influence decision-making, align diverse stakeholders, and move cross-functional initiatives forward in complex environments. - Strong ability to identify underlying business challenges, frame opportunities, and translate business needs into practical, actionable solution s. - Solid understanding of AI, generative AI, automation, and related digital capabilities, including considerations related to responsible use, risk, and adoption. - Excellent communication, facilitation, and presentation skills, with the ability to translate technical concepts into clear business implications and recommendations. - Strong project and program management skills, including planning, coordination, issue resolution, and disciplined execution. - Ability to work effectively in ambiguity and lead through change in a fast-evolving environment. - Experience developing business cases, defining success metrics, and measuring outcomes preferred. We are committed to creating an inclusive employee experience for you to thrive as part of Sony’s purpose to “fill the world with emotion through the power of creativity and technology.” Benefits: SCA offers benefits-eligible employees ( generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well-being. What we offer you: - Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) - Employee assistance plan and comprehensive behavioral health benefits - Fertility benefits, including, surrogacy, and adoption assistance programs - Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children - Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance - Short-term & long-term disability plans - Up to 12 weeks of paid parental and caregiver leave - 401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting - Education assistance and student loan programs Other Programs: - Flexible Work Arrangements, including hybrid work schedules - Time off to include vacation, paid holidays, sick leave, Summer Fridays ( early release ), and a winter break between Christmas and New Year’s Day (based on business needs) - Referral bonuses (subject to eligibility) - Matching gift program - A wide variety of employee business resource groups (EBRGs) - Special discounts on Sony products, offered exclusively to Sony employees - Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) The anticipated annual base salary for this position is $140,000 to $150,000. In addition to the annual base salary, this role has an annual bonus target of 13%. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. LI-BC1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)
Senior Research Engineer – Computer Graphics, Next...
Sony Corporation of America , located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: www.sony.com/en . Position Summary Sony Corporation of America currently has an opening for Senior Research Engineer in our U.S. Research Center located in Culver City, CA. This position is responsible for leading technical efforts on developing AI/ML based animation core technologies and producing Next Gen. photo-real 3D CG animation content for Sony’s future business and services. Responsibilities include driving technical requirements for novel animation algorithm R&D in close collaboration with Sony’s professional creators and world-class research scientist teams to analyze, benchmark, validate and develop complex algorithms of novel 3D content creation workflow efficiently. Finally, you will be responsible for invention disclosures, working with patent attorneys to secure intellectual property. Responsibilities - Individual contributor in fundamental theories, principles and algorithm development in the field of AI/ML 3D CG animation and visualization based on scientific survey, analysis, benchmark and validation. - Support manager’s new initiatives and strategy. Support, propose and contribute to project plan for new business creation. - Document all phases of research and development. - Oversee submission of intellectual property. - Travel to visit project collaborators overseas. Qualifications - PhD in Computer Science, or Electrical Engineering, or related scientific field, is required. - Solid publication record in AI/ML based 3D CG animation algorithm research, particularly in the field of facial animation, hair or garment modeling/simulation. - 0-3 years of industry experience, preferably in 3D Computer Graphics. - Excellent communication skills are required. - Highly proficient with Unreal Engine (MetaHuman), Maya, or related CG platforms. - All candidates must be authorized to work in the USA. The anticipated annual base salary for this position is $160,000 to $190,000. In addition to the annual base salary, this role has an annual bonus target of 10%. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)
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