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Senior Machine Learning Engineer

Negotiable

We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations. We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads. As a Senior Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. As a Senior Machine Learning Engineer your will: - Collaborate closely with data scientists in order to deliver production-ready model training pipelines; - Design scalable solutions in a distributed environment; - Design scalable inference pipelines and architectures; - Implement model diagnostics such as evaluation, monitoring flows etc.; - Automate model deployment, enable REST API model endpoints; - Develop scalable model serving flows; - Work on cluster optimization and scalability; - Develop and maintain internal tools and libraries; - Write CI/CD/CT pipelines. What you’ll bring - Extensive experience in software development using Python in large scale, high-performance production environment; - Significant hands-on experience in designing ML software systems; - Significant experience with cloud environments like Microsoft Azure or AWS; - Solid understanding of: - The ML project lifecycle; - MLOps concepts and tools such as MLflow or Kubeflow; - ML algorithms and models. - Hands-on experience with Spark and PySpark; - Excellent problem solving and communication skills. Machine Learning (ML) #MLOps #AIOps #Software Engineering Kaizen Gaming Perks - 🕑 Hybrid way of working; - 🏃 A buddy will support you with your onboarding; - 💸 Competitive pay & bonus scheme; - ⭐Developmental 360° feedback framework; - 💰 Monthly meal allowance; - 👩⚕️ Private health insurance for you and your family; - 📚 Unlimited access to Udemy & continuous training; - 👨👩👧👦 Family Support. - #LI-Hybrid - #LI-EL1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.

K

Senior AI Product Manager

Negotiable

We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Senior Product Manager in the AI department, you will define and drive the vision and long-term strategy for Artificial Intelligence at Kaizen. You will lead a team of diverse AI product professionals to support development of AI-empowered products by using product and agile best practices in order to maximize the business value of the team's deliverables. This is a unique role that combines product leadership skills and knowledge of the machine learning / AI product lifecycle. As a Senior AI Product Manager you will - Define the AI product vision and strategy in alignment with Kaizen’s vision and strategy; - Define success metrics (KPIs) and track the performance of AI products; - Collaborate with stakeholders to obtain domain expertise, gathering business and customer requirements; - Maintain or oversee the ΑΙ roadmap, ensuring impact-driven prioritization, data driven decision making, problem validation and alignment with internal stakeholders; - Contribute or lead discovery process; - Provide input towards measures of success for initiatives in conjunction with product owner & analyst; - Work closely with the AI engineering management team in order to execute the strategy and deliver high-quality AI products and solutions; - Conduct market research and competitive analysis to identify trends and opportunities across products and the wider Gaming industry; - Communicate product updates to stakeholders at all levels of the organization; - Mentor a team of product owners and analysts to support their growth. Manage them effectively to ensure successful completion of their goals; - Ideate net new ideas for value across Kaizen products; - Support the team and organization by using both product and agile best practices; - Assist with go to market strategy, design thinking workshops and other product practices, as and when required. What you’ll bring Must have: - 5+ years of experience in a product management role, ideally in a B2C online business. - Proven track record of successfully launching and managing digital products from concept to launch. - Strong people management skills with experience leading cross-functional teams of product owners, product managers and product analysts. - Strong analytical and problem-solving skills, with the ability to use data to drive decision-making. - Excellent communication and presentation skills, with the ability to communicate the AI product vision and strategy clearly and effectively to a broad audience of internal and external stakeholders. - Experience working in a dynamic, fast-paced environment and the ability to adapt quickly to changing priorities. Nice to have: - A deep understanding of traditional AI and genAI technologies. - Experience in building data-intensive and AI-empowered digital products. - Experience with A/B testing methodologies and experimental design. - Knowledge of regulatory requirements and compliance standards related to AI and data (e.g. AI Act, GDPR). We're looking for someone who is passionate about AI and wants to be at the forefront of innovation in the igaming industry. Join us in shaping the future of gaming with “wow” experiences that thrill and delight players around the world. Kaizen Gaming Perks - 🕑 Hybrid way of working - 🏃 A buddy will support you with your onboarding - 💸 Competitive pay and bonus scheme - 💰 Monthly meal allowance - ⭐Developmental 360° feedback framework - 📚 Unlimited access to Udemy & continuous training - 👨👩👧👦 Family Support - #LI-Hybrid - #LI-ap1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.

K

Senior Machine Learning Engineer

Negotiable

We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations. We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads. As a Senior Machine Learning Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. Here's what's up for you: - Collaborate closely with data scientists in order to deliver production-ready model training pipelines; - Design scalable solutions in a distributed environment; - Design scalable inference pipelines and architectures; - Implement model diagnostics such as evaluation, monitoring flows etc.; - Automate model deployment, enable REST API model endpoints; - Develop scalable model serving flows; - Work on cluster optimization and scalability; - Develop and maintain internal tools and libraries; - Write CI/CD/CT pipelines. What you’ll bring: - Extensive experience in software development using Python in large scale, high-performance production environment; - Significant hands-on experience in designing ML software systems; - Significant experience with cloud environments like Microsoft Azure or AWS; - Hands-on experience with Spark and PySpark; - Excellent problem solving and communication skills - Good understanding of: - - Software system design; - The ML project lifecycle; - MLOps concepts and tools such as MLflow or Kubeflow; - ML algorithms and models. Kaizen Gaming Perks - 🕑 Hybrid model of working - 🏃 A buddy will support you with your onboarding - 💸 Competitive salary package and bonus scheme - 👩⚕️ Health and life insurance for you and your family - 💰 Monthly meal allowance - ⭐ Developmental 360° feedback framework - 📚 Unlimited access to Udemy & continuous training - 🚗 Commuting allowance - 👨👩👧👦 Family Support - #LI-Remote Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Data Scientist who possesses a passion for both games, and big data. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England. WHAT WE DO - The Rockstar Analytics team provide actionable insights to a wide variety of stakeholders across the organization in support of their decision making. - We partner with multiple departments across the company to design and implement data and pipelines. - We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. - The Game Analytics vertical is heavily focused on understanding our players and using data to improve our games. RESPONSIBILITIES - Design, develop, and deliver data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques as appropriate. - Assure Rockstar’s ongoing competitive advantage by providing high quality insights and in-depth analyses, aligned to strategic initiatives and design intentions. - Tell impactful stories with data through insightful, actionable reports and presentations. - Develop a deep understanding of gameplay flows, and leverage this to inform analysis of game data. - Identify and lead analytic value-add projects and experiments aligned with long-term strategic initiatives. - Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities. - Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions. - Help mentor and develop the skillsets of the junior team members within your team or department. REQUIREMENTS - 2+ years in a data science role required. - Proficiency in statistical theories such as probability, distributions, Bayesian statistics, causal inference. - Knowledge of machine learning techniques such as Clustering, Gradient Boosting, Neural Networks, Regression. - Excellent SQL skills and experience using Python for machine learning / statistical analysis. - Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau. - Excellent data storytelling and visualization skills, able to effectively communicate insights to a diverse range of stakeholders. - Strong problem-solving skills with the ability to reconcile technical and business perspectives. - Passion for video games and knowledge of the industry. PLUSES Please note that these are desirable skills and are not required to apply for the position. - Experience in writing production-stable code (preferably PySpark), pushing models and data pipelines to production, and iterating on models in production. - Experience with Databricks and MLFlow. - Graduate degree (MBA, MSc or Master’s, PHD), an asset. - Game industry experience, an asset. - Bachelor’s degree in Computer Science, Mathematics, or a related field, with a strong quantitative background. HOW TO APPLY Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. LI-AH1

About us We were founded in 2017 with the motivation to reach people globally by giving them unique and unforgettable experiences with disruptive products. Our games have reached over 3.5 billion people. This could only be done by gathering exceptional talent and creating a culture to enhance team spirit and creativity. We are looking for passionate teammates to join our team! About the role The more technology evolves, the more it shapes our lives. We’re looking for AI enthusiasts who are passionate about exploring new technologies and creating innovative, effective solutions to improve the way we work. If you thrive on a “how can we do it better” mindset, we’d love to have you on our team! What you’ll be doing - Leading AI research and development for internal product and management solutions (RL agents, segmentation, regression models) - Analyzing big data to extract features, segment, and provide actionable insights for management - Researching, implementing, and experimenting with self-learning agents in diverse RL environments for product development - Following and deploying cutting-edge generational models (including finetuning) for tailored, multi-modal use cases - Being at the forefront of ML/DL research and gaining valuable expertise Desired skills and experience - Bachelor's degree in Computer Science, Mathematics or a related engineering field - Proficiency in Python (TensorFlow or PyTorch) - Interest in Generative AI techniques (Diffusers, LoRAs, GANs, Transformer models, etc.) and a desire to develop in this area - An always-looking-for-better-ways mindset and the ability to understand team needs to proactively generate solutions - Ability to combine technical and business mindsets effectively - Passion for Match Villains and mobile puzzle games in general What makes our team so unique - Feedback and transparency are at the heart of everything we do - Exceptional and passionate people/team members - Every idea counts - Never-ending learning - We never stop asking the questions “why” and “how” Our Perks - Team events and trips - Great food - On-site gym - Full health benefits - Compensation for paid military service - Relocation support - Good Job Games Coin Program that lets you have unforgettable experiences (e.g. Going on a cruise trip to Norway or seeing the Northern Lights) This is an on-site role in Istanbul, Sarıyer. We do not offer a fully-remote working option.

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. 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. [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. [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. - 게임 환경에서 멀티모달 입력(화면/텍스트/게임 상태 등)을 받아 행동을 출력하는 VLA 에이전트 모델 연구 및 구현 - Instruction-following 성능 향상을 위한 데이터 설계, 학습 레시피 수립, 실패 케이스 분석 및 개선 - Real-time 제약을 고려한 모델링/추론/서빙 최적화 및 성능 검증 - 대규모 학습 데이터 수집·정제 파이프라인 구축/운영 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 인공지능(AI), 컴퓨터공학, 혹은 관련 기술 분야에서 현재 석사 혹은 박사 학위 과정을 밟고 있는 분 - 연구를 주도할 수 있으며 딥러닝 관련 논문을 통해 빠르게 이해하고 실험 설계할 수 있는 능력 - 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 저널 논문 작성을 경험하신 분 - Vision Language Action Model 관련 탁월한 프로젝트 성과가 있으신 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 West 타워 고용형태 - 인턴 (6개월) 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

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. 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. KRAFTON AI Research Division은 대규모 언어모델 (LLM)을 중심으로, AI 기반 차세대 게임 제작 패러다임을 구축하고 있습니다. 우리는 모델 설계부터 학습, 최적화, 배포 및 운영에 이르는 전 과정을 직접 수행하며, 게임 제작 효율화와 새로운 플레이 경험 창출을 목표로 합니다. 특히 Language Model 기반 Gaming Agent 기술을 통해 게임 환경을 이해하고, 상황에 맞게 행동하며, 플레이어와 자연스럽게 상호 작용할 수 있는 지능형 에이전트 개발에 집중하고 있습니다. Research Engineer는 이러한 연구 방향 아래에서 이론적 통찰을 실제 시스템과 알고리즘으로 구현하고, 대규모 실험과 모델 개선을 주도하는 핵심 역할을 수행합니다. 나아가 우리는 게임을 넘어 Physical AI 및 인터랙티브 인텔리전스 영역까지 확장하며, 현실 세계와 연결되는 지능 시스템을 만들어가고 있습니다. 우리 팀과 함께할 미션을 소개합니다. Research Engineer로서 다음과 같은 업무를 수행합니다. - Foundation Model 성능 향상 및 안정성 개선을 위한 방법론, 도구, 실험 인프라를 설계하고 구현 - 상위 연구 방향과 가설을 실제로 검증 가능한 형태로 실험 설계, 구현 및 검증 - 머신러닝 기법을 대규모 분산 학습 환경에 맞게 확장·최적화하여 적용 - 새로운 모델 아키텍처, 학습 기법, 최적화 전략을 코드 및 실험 파이프라인 전반에 걸쳐 구현하고 실험적으로 검증 - 대규모 실험을 위한 훈련·평가 파이프라인을 설계하고 재현 가능하고 반복 가능한 실험 환경 구축 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - AI, 컴퓨터공학, 통계학, 전기전자공학 또는 관련 분야 학사 학위 또는 이에 준하는 실무 경험 - 머신러닝, 딥러닝, Foundation Model에 대한 연구 개발 경험 - Python 및 딥러닝 프레임워크(PyTorch, JAX 등)를 활용한 모델 구현 및 실험 경험 - 대규모 소프트웨어 애플리케이션의 아키텍처 패턴에 대한 경험과 이해 - 복잡한 실험 결과와 구현 내용을 명확하게 문서화하고 공유할 수 있는 커뮤니케이션 능력 - 최신 머신러닝 논문을 빠르게 이해하고 이를 기반으로 실험을 구현할 수 있는 역량 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - NeurIPS, ICML, ICLR 등 저명 학회 논문 게재 경험 (1저자 또는 주요 기여자) - LLM 내부 구조 분석, 표현 학습, 스케일링 법칙, 모델 해석 등 모델 동작 원리에 대한 연구 경험 - 대규모 분산 학습 및 학습 최적화 관련 연구 또는 실무 경험 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 - 계약직 (1년) 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

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

About Spyke Games We are a leading mobile gaming company founded by gaming veterans who have built and scaled massive gaming businesses for the past decade. We want to build the next generation of mobile game franchises to be played by millions of people around the globe for years. We are bringing together the smartest, the most talented and ‘fun to work with’ group of people united around this single mission. Fostered with team spirit and collaboration, we strive to create a passionate, energetic and eager to learn “geek” culture focused on games. We’re looking for an experienced Data Scientist to help build, grow and optimize our mobile games. At Spyke, you will be working in a fast-paced, hyper-growth environment with some of the smartest minds in the industry. This scale and pace comes along with very interesting business challenges which we will solve together, using a technology-agnostic and data-informed decision making approach. Job Responsibilities Job Requirements We respect your privacy and will treat your data confidential as part of the recruitment process. If you’d like more details, please read our Statement of Personal Data Protection Law (KVKK)

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Data Scientist of Marketing who possesses a passion for video games and creating valuable insights from a variety of data sources . This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. WHAT WE DO - The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. - We perform complex analyses, build reporting solutions, and help develop data that drives forward actionable, efficient insight delivery to help inform decisions across multiple stakeholder groups and development projects. RESPONSIBILITIES - Assure Rockstar’s ongoing competitive advantage through statistical analysis, machine learning, and useful monitoring reports to identify patterns and predict outcomes. - Partner with marketing stakeholders to define business objectives, translate those objectives into data questions, and identify the appropriate analytical solution to drive insights and data-informed business decisions. - Build self-service reporting and other data products that provide flexibility for business stakeholders to investigate questions while maintaining accuracy, efficiency, and clarity in results. - Drive creation and adoption of predictive models for marketing campaign performance, leading implementation across stakeholders. - Generate marketing reports, dashboards, and insights collaborating with the marketing analytics team, across analytics teams, and with our stakeholders. - Evaluate performance of marketing campaigns, collating data across multiple marketing channels. - Generate insights at scale, prioritizing automation of reports and data standardization. - Possess subject matter expertise for Marketing Analytics and build the team’s analytics capabilities. - Use machine learning for predictive modeling of our player and marketing channel data to help inform targeting strategies and campaign goals. - Maintain and enhance existing marketing reports, ensuring accuracy, consistency, and relevance to executive stakeholders. REQUIREMENTS - 5+ years of experience in data science or similar role within the gaming, marketing, finance, or technology fields required. - 4+ years of experience working with SQL, Python, and/or PySpark to perform exploratory analyses with optimized queries. - 4+ years of experience in data visualization and hands on working with complex data. - 2+ years of experience developing machine learning models to solve complex business problems. - Excellent written and verbal communication skills with the ability to communicate and visualize complex information in a meaningful way to a variety of audiences. - Strong interpersonal skills with the ability to develop and maintain relations with diverse teams and stakeholders, at all hierarchal levels. - Ability to work directly with a variety of stakeholders to understand their needs and provide relevant and actionable solutions. - Ability to draw inferences from disparate pieces of data, identifying key findings and linking to business strategies or objectives. PLUSES Please note that these are desirable skills and are not required to apply for the position. - Experience with Snowflake and/or Databricks. - Game industry experience strongly desired. - Experience with marketing data and deliverables preferred. HOW TO APPLY Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. LI-SD1 The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors. *NY Base Pay Range $121,400 - $161,800 USD

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] KRAFTON AI Research Division은 AI 중심의 차세대 게임 제작 패러다임을 구축하는 것을 목표로, 최적화된 모델 설계부터 운영까지 전 과정을 주도적으로 수행하며 게임 제작 효율화와 새로운 플레이 경험 창출에 집중하고 있습니다. 우리는 Language Model 기반 Agent 기술을 통해 업무 프로세스를 자동화·고도화하고, 게임 속 환경을 스스로 이해하고 행동하며, 유저와 상호작용할 수 있는 Gaming Agent 개발에 집중하고 있습니다. 이러한 Gaming Agent는 실시간 게임 환경에서 플레이어와 함께 호흡하며 몰입도를 극대화하는 역할을 수행합니다. 나아가 우리는 게임을 넘어 Physical AI 영역까지 확장하여 인터랙티브 인텔리전스의 미래를 만들어가고 있습니다. [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. KRAFTON은 LLM 작동 원리를 이해하고 성능 향상을 위한 연구를 수행할 2년 계약의 Postdoctoral Researcher를 찾고 있습니다. - Postdoctoral Researcher로서, 대규모 언어모델(LLM)의 작동원리를 이해하기 위한 이론적·경험적 분석을 수행하고, 모델 성능 향상을 위한 핵심 기술을 연구·개발합니다. - 다양한 아키텍처와 학습 방식이 LLM의 표현력, 추론 능력, 일반화 성능에 미치는 영향을 체계적으로 이해하고, 모델의 효율성, 안정성, 성능을 개선할 수 있는 새로운 분석 관점과 알고리즘을 제안하고 검증하는데 집중합니다. - 이를 통해 실제 다양한 서비스 환경에서 신뢰할 수 있는 LLM 활용을 가능하게 하는 기반 기술을 구축하는 것을 목표로 합니다. 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - AI, 컴퓨터공학, 통계학, 전기전자공학 또는 관련 분야에서 박사 학위를 보유하거나 취득 예정이며, 입사 전 학위 취득 완료 상태 - 대규모 언어모델(LLM)에 대한 이론적·경험적 분석 또는 모델링 연구 경험 보유 - 모델 아키텍처, 학습 알고리즘, 최적화 기법 등 LLM 성능에 영향을 미치는 요소에 대한 이해 - Python 및 딥러닝 프레임워크(PyTorch, JAX 등)를 활용한 연구 및 실험 경험 - 모델 성능 평가, 벤치마크 설계, 실험 자동화 등 정량적 분석 경험 - 연구 결과를 명확하게 문서화하고, 다양한 팀과 협업·소통할 수 있는 능력 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - NeurIPS, ICML, ICLR 등 저명한 학회에 1저자 논문 게재 또는 수상 등 탁월한 연구 성과 - LLM 내부 구조 분석, 스케일링 법칙, 표현 학습, 모델 해석 등 LLM 동작 원리에 대한 심층적 연구 경험 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 ), 포트폴리오 (필수) - 신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다. - 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 - 역삼 고용형태 - 계약직 (2년) 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

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 2026년도 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 사내외 여러 분야와 협업 하여 다양한 문제에 대한 AI 솔루션을 제공하며, 자체 딥러닝 기술 연구를 통해 우리만의 서비스를 개발합니다. 그 방향성은 크게 두가지입니다. - 게임 제작에 도움이 될 수 있는 딥러닝 기술 개발을 통한 게임 제작 효율성 및 보편성 증대 - 유저와 함께 게임 플레이를 할 수 있는 Multi-modal LLM 기반 Foundation Model 개발 [Foundation Model R&D] Foundation Model Research 팀은 AI Research 본부의 비전을 바탕으로 MLLM 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. [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. - 대규모 Multi-modal LLM 학습 및 선행 연구를 진행합니다. - 모델의 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. 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 2026년도 내 전문연구요원 현역 신규편입으로 입사 가능하신 분 (석사 이상 학위를 취득 또는 석/박사 통합과정 수료 대상) - 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 - 새로운 domain에 빠르게 적응할 수 있는 분 - 원활한 업무 커뮤니케이션 능력 - 해외 출장에 결격 사유가 없는 분 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 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

We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products. At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for! Responsibilities Requirements

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. 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 사내외 여러 분야와 협업 하여 다양한 문제에 대한 AI 솔루션을 제공하며, 자체 딥러닝 기술 연구를 통해 우리만의 서비스를 개발합니다. 그 방향성은 크게 두가지입니다. - 게임 제작에 도움이 될 수 있는 딥러닝 기술 개발을 통한 게임 제작 효율성 및 보편성 증대 - 유저와 함께 게임 플레이를 할 수 있는 Multi-modal LLM 기반 Foundation Model 개발 [Foundation Model R&D] Foundation Model Research 팀은 AI Research 본부의 비전을 바탕으로 MLLM 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. [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. Research Sicentist Intern으로서 하게 될 일은 다음과 같습니다: - 대규모 Multi-modal LLM 학습 및 선행 연구를 진행합니다. - 연구 성과를 Tech Report 혹은 NeurIPS, ICLR, ICML 등 탑티어 학회에 논문·워크숍 등의 형태로 발표합니다. 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 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 - 새로운 domain에 빠르게 적응할 수 있는 분 - 원활한 업무 커뮤니케이션 능력 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - NeurIPS, ICML, ICLR 등 저명 학회 발표 및 수상 경험 - LLM 내부 구조 분석, 표현 학습, 스케일링 법칙, 모델 해석 등 모델 동작 원리에 대한 연구 경험 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 또는 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

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 2026년도 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. [Physical AI Team] AI 기술은 언어를 이해하고 이미지를 생성하는 것을 넘어, 이제 물리적인 세계(Physical World)로 그 영역을 넓히고 있습니다. 저희 Physical AI 팀은 가상 공간에 머물던 인공지능을 현실 세계로 이끌어내어, 휴머노이드 로봇이 스스로 생각하고 움직이며 일상 속에서 우리와 함께하는 미래를 그리고 있습니다. 그러나 현실 세계는 복잡하고 예측하기 어렵습니다. 저희는 이 문제를 풀기 위해 크래프톤이 가진 게임 개발 기술과 AI 기술을 활용하여, 로봇이 실제 세상을 이해하는 데 필요한 대규모 경험을 만들어내고자 합니다. 게임 AI를 활용해 사실적인 시뮬레이터를 구축하고, 가상 세계로부터 대규모 데이터를 생성하며, 그곳에서 축적된 경험이 World Model을 통해 현실 속 로봇으로 전이되는 접근 방식을 시도하고 있습니다. 저희는 이 일이 단순한 기술 개발을 넘어, 인간과 로봇이 공존하는 새로운 시대를 여는 모험이라고 믿습니다. 스스로 문제를 정의하고, 실패할 수도 있는 시도를 반복하며, 아무도 가보지 않은 길을 처음 걸어볼 기회가 여기 있습니다. 이 험난한 도전에 끈기와 열정을 가지고 함께할 분들을 기다리겠습니다. 감사합니다. [Culture Fit] AI Research 본부 인원들은 다양한 프로젝트에서 여러 분야의 팀원들과 교류하고 협업하며 어려운 문제에 창의적인 아이디어를 제시할 수 있습니다. 나이와 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. - LLM/VLM/VLA 모델의 pre-training과 post-training 기술 연구개발 - 강화학습, 모델 경량화 및 최적화, Diffusion Model 학습 알고리즘 연구개발 - Manipulation, Locomotion, Visual SLAM 등의 학습 알고리즘 연구개발 - Egocentric human video 수집 및 이를 활용한 로봇 학습 기술 연구개발 - Teleoperation 기반 로봇제어 알고리즘 연구 및 로봇 학습 데이터 수집 - MuJoCo, Isaac Sim 기반 시뮬레이션 환경 개발 및 ROS2, Newton 기반 로봇 제어 시스템 개발 - Sim2Real 파이프라인 구현 및 실제 로봇에서의 학습된 모델 성능평가 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 2026년도 내 전문연구요원 현역 신규편입으로 입사 가능하신 분 (석사 이상 학위를 취득 또는 석/박사 통합과정 수료 대상) - 인공지능(AI), 컴퓨터공학, 로보틱스 또는 관련 기술 분야에서 석사 학위를 취득했거나 그와 동등한 업무 경험이 있는 분 - LLM/VLM/VLA 및 Robotics 관련 프로젝트 등에서 업무 경험이 있는 분 - Python, Pytorch, Robotics Platform, Simulation 등에 대한 높은 개발 역량이 있는 분 - 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) - 인공지능(AI), 컴퓨터공학, 로보틱스 또는 관련 기술 분야에서 박사 학위를 취득했거나 그와 동등한 업무 경험이 있는 분 - NeurIPS, ICLR, ICML, ICRA, IROS, RSS, CoRL 등 machine learning, robotics 분야 주요 학회 및 저널에 논문을 게재한 경험이 있는 분 - LLM/VLM/VLA, Whole-body control, Teleoperation, Egocenctric 데이터 수집 및 학습, Robotics 하드웨어, 제어이론, 시뮬레이션, on-device 추론속도 최적화 등에 관한 논문 발표 및 프로젝트 실적 - 타 직군(기획, 개발, 아트, 사업 등)과도 원활한 협업이 가능한 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 West 타워 또는 성수 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

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for an experienced Data Scientist to join our Analytics team to scale our Game Security and Trust & Safety capabilities. In this role, y ou'll develop sophisticated detection systems, establish community safety metrics, and leverage advanced analytics to protect our player communities through data visualization, anomaly detection, supervised learning, and community health measurement. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. WHAT WE DO Partner with Trust & Safety and Game Security teams to conduct high-impact projects that shape player safety policies, inform strategy, and ensure regulatory compliance (GDPR, DSA, OSA). Develop detection systems, advanced analytics models (graph analytics, NLP), and scalable machine learning applications protecting millions of players. RESPONSIBILITIES - Drive complex investigations and data-driven strategies addressing cheating, griefing, toxicity, and harassment at scale. - Develop and automate detection solutions for cheats, exploits, and violations with Game Security team. - Serve as subject matter expert on Trust & Safety metrics, regulatory compliance, and transparency reporting. - Design sophisticated detection systems balancing player safety with user experience using rule-based and ML approaches. - Translate complex analytical findings into actionable insights for technical and non-technical audiences, including executives. - Establish and monitor Trust & Safety and Anti-Cheat KPIs with dashboards enabling data-driven decisions. - Mentor junior team members and advance analytical best practices. REQUIREMENTS - Bachelor's in STEM field (Computer Science, Data Science, Statistics, Mathematics); advanced degree preferred. - 5+ years in data science/analytics with expertise in Security, Anti-Cheat, Trust & Safety, or related domains. - Strong SQL proficiency with large-scale databases. - Advanced Python, PySpark, and data science tools (numpy, pandas, scikit-learn) in cloud production environments. - Required expertise in one:  graph analytics for coordinated behavior, NLP for content moderation/toxicity, or network analysis for community safety. - Experience with Trust & Safety metrics, transparency reporting, and regulatory frameworks (GDPR, DSA, OSA). - Exceptional communication and stakeholder management skills with ability to influence executive strategy. - Expert data storytelling—translating sophisticated analytics into clear narratives driving policy decisions. - Strategic thinking balancing player safety, user experience, and business objectives. - Passion for creating safe, inclusive gaming communities. PLUSES Please note that these are desirable skills and are not required to apply for the position. - Trust & Safety and/or Anti-Cheat experience at gaming, social media, or UGC platforms. - Real-time detection systems and streaming analytics experience. - Advanced ML Techniques (Transformers, LLMs, GenAI) for content moderation. - Graph analytics for coordinated behavior detection. - Published research or thought leadership in Trust & Safety, content moderation, or online community safety. - Experience with big data technologies (PySpark) and cloud platforms (AWS, GCP, Azure, Databricks). - Multilingual capabilities or experience with non-English content moderation challenges. HOW TO APPLY Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. LI-SD1 The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors. *NY Base Pay Range $121,400 - $161,800 USD

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. 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 사내외 여러 분야와 협업 하여 다양한 문제에 대한 AI 솔루션을 제공하며, 자체 딥러닝 기술 연구를 통해 우리만의 서비스를 개발합니다. 그 방향성은 크게 두가지입니다. - 게임 제작에 도움이 될 수 있는 딥러닝 기술 개발을 통한 게임 제작 효율성 및 보편성 증대 - 유저와 함께 게임 플레이를 할 수 있는 CPC 개발 [Foundation Model R&D] Foundation Model Research 팀은 AI Research 본부의 비전을 바탕으로 MLLM 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. [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. Research Scientist 으로서 하게 될 일은 다음과 같습니다: - 대규모 Multi-modal LLM 학습 및 선행 연구를 진행합니다. - 모델의 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. 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) - 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 - 새로운 domain에 빠르게 적응할 수 있는 분 - 원활한 업무 커뮤니케이션 능력 - 해외 출장에 결격 사유가 없는 분 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 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 절차는 각 포지션 및 후보자에 따라 변동이 있을 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 또는 성수 고용형태 - 계약직 (1년 / 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

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Senior Product Data Scientist

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. The Role At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products. This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it. What You’ll Do - Be the Decision Engine : Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon. - Shape Strategy with Data : Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions. - Automate Intelligence : Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions. - Partner Across the Business : Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions. - Tackle Ambiguity : Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems. What We’re Looking For - Technical Mastery : SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau). - Data Storytelling : You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making. - Commercial & Product Acumen : You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior. - Bias for Impact : You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. - Proven Track Record : Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth. - Education : Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience. - Years of Experience : We are hiring for roles with at least 2+ years of relevant experience. Why Join Us? - High Impact - Your datasets will be used daily by teams making product decisions, running experiments, and driving performance. - Real Scale, Real Problems - Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff. - Freedom to Shape - Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building. - Solid Benefits - Competitive compensation & performance-based bonuses - Open vacation policy & hybrid work flexibility - Health support, wellness perks & team social budget About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

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Manager, Strategic Partnerships and AI Operations

$120,000 – $155,000

Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc. If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Remote (USA & Canada only — West Coast hours preferred) with some office travel required Annual salary: $120,000 - $155,000 Type: Full-time Reports to: VP of Partnerships The Role As a Strategic Partnerships Manager, AI & Operations, you will be a core operator on Nex’s Strategic Partnerships team, with a strong focus on using AI and automation to scale how we source, evaluate, and manage partnerships with some of the world’s most iconic entertainment and consumer brands. You will report directly to the VP of Partnerships and help turn partnership strategy into action—owning the systems, workflows, and insights that enable the team to move faster and make better decisions. This role is ideal for a highly organized, systems‑minded self‑starter who is excited to leverage AI and automation tools in their day‑to‑day work. You will get hands‑on exposure to top‑tier IP partners (NBA, Hasbro, Mattel, NBCUniversal, Sesame Street, Paramount, Nickelodeon, and more), while building a strong foundation in partnerships, licensing, and entertainment business development. What You Bring - Bachelor’s degree in Business, Marketing, Computer Science, Economics, or a related field - 3–5 years of experience in operations, project management, business development, partnerships, or a related role - Hands-on experience using AI tools and automation (e.g., ChatGPT, Claude, Notion AI, Zapier, Make, or similar) to improve workflows, analyze information, or prototype solutions - Experience experimenting with lightweight AI agents or automated workflows (no‑code or low‑code) is a strong plus - Strong organizational and analytical skills, with a bias toward building repeatable, tech‑enabled processes - Proven ability to manage multiple projects and stakeholders across teams and time zones - Clear written and verbal communication skills, including comfort preparing external‑facing and executive‑ready materials - Ability to work independently while collaborating effectively with cross‑functional partners - Passion for games, entertainment, consumer products, or emerging interactive platforms is a plus Partnerships Operations & Execution - Support the execution of Nex’s partnership strategy by managing processes, documentation, and internal workflows - Build and maintain systems to track partner conversations, deal status, contracts, and key next steps - Drive NDAs and other partnership agreements through internal legal review and execution - Prepare internal partnership updates and dashboards for leadership and cross‑functional teams AI, Tools & Automation - Identify and prioritize opportunities to modernize and automate partnership workflows using AI and productivity tools - Design and maintain AI‑assisted workflows or lightweight agents that support deal pipeline forecasting, partner prospecting, and outreach - Use AI tools to help with contract review, greenlight document preparation, market intelligence, and competitive tracking - Continuously improve team processes to increase visibility, speed, and quality of decision‑making Research, Evaluation & Planning - Conduct market and competitive research (including international markets) to support greenlight decisions - Assist in reviewing IP and game submissions for potential Nex Playground adaptations, contributing to a structured evaluation and ranking framework - Support talent partnership research and evaluation (artists, athletes, creators, and public figures) for business development and marketing initiatives Partner Communications & Reporting - Serve as a point of contact for select IP partners, ensuring timely, clear, and professional communication - Prepare and maintain partner business updates, including revenue reporting, projections, and performance insights - Help evolve Nex’s quarterly partner reporting into a more automated, scalable, and repeatable system Marketing, PR & Activations - Coordinate with partners on marketing initiatives, asset approvals, and PR opportunities - Support the development of co‑marketing programs that drive Nex Playground hardware and Play Pass sales through partner channels - Work closely with Nex’s marketing team and partners’ marketing, communications, and retail teams to align plans Events & Industry Presence - Support planning, scheduling, and on‑site coordination for key industry events such as CES, DICE, GDC, Licensing Expo, and others We Offer - Competitive compensation package. - Flexible working hours and vacation policy. - Product-driven culture that treasures talents and individual growth. - Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at nex.inc/who-we-are . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

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Staff Machine Learning Engineer - Applied ML & Res...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Staff Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives. - Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems. - Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment. - Translate complex technical concepts into clear insights for both technical and non-technical stakeholders. - Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals. - Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement. We're looking for someone with: - Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. - 7+ years of industry experience building and deploying ML models at scale. - Proven ability to lead cross-functional technical initiatives and influence engineering strategy. - Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL. - Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar. - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies. - A track record of shipping production-level ML products and maintaining high code quality. - Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones. Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects or publications in ML conferences. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Product Data Scientist

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. The Role At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products. This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it. What You’ll Do - Be the Decision Engine : Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon. - Shape Strategy with Data : Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions. - Automate Intelligence : Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions. - Partner Across the Business : Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions. - Tackle Ambiguity : Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems. What We’re Looking For - Technical Mastery : SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau). - Data Storytelling : You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making. - Commercial & Product Acumen : You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior. - Bias for Impact : You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. - Proven Track Record : Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth. - Education : Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience. - Years of Experience : We are hiring for roles with at least 2+ years of relevant experience. Why Join Us? - High Impact - Your datasets will be used daily by teams making product decisions, running experiments, and driving performance. - Real Scale, Real Problems - Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff. - Freedom to Shape - Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building. - Solid Benefits - Competitive compensation & performance-based bonuses - Open vacation policy & hybrid work flexibility - Health support, wellness perks & team social budget About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Commercial Data Scientist

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. At Super Technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products. This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it. What You’ll Do - Be the Decision Engine : Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon. - Shape Strategy with Data : Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions. - Automate Intelligence : Build scalable dashboards, reporting systems, and data tools that enable teams across Super Technologies to make smarter, faster, data-driven decisions. - Partner Across the Business : Collaborate with Product Managers, Commercial leaders, Engineers, Designers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions. - Tackle Ambiguity : Super Technologies moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems. What We’re Looking For - Technical Mastery : SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical and ML methods and bringing them to life in dashboards (we use Tableau). It would be also great if you have experience/basic knowledge of python or R. - Data Storytelling : You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making. - Commercial & Product Acumen : You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior. - Bias for Impact : You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. - Proven Track Record : Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth. - Education : Degree in Data Science, Statistics, Economics, Computer Science/Engineering, Mathematics, or a related quantitative field OR equivalent work experience. - Years of Experience : We are hiring for roles with at least 4+ years of relevant experience. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Staff Machine Learning Engineer - Applied ML & Res...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Staff Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives. - Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems. - Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment. - Translate complex technical concepts into clear insights for both technical and non-technical stakeholders. - Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals. - Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement. We're looking for someone with: - Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. - 7+ years of industry experience building and deploying ML models at scale. - Proven ability to lead cross-functional technical initiatives and influence engineering strategy. - Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL. - Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar. - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies. - A track record of shipping production-level ML products and maintaining high code quality. - Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones. Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects or publications in ML conferences. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Product Data Scientist

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. The Role At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products. This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it. What You’ll Do - Be the Decision Engine : Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon. - Shape Strategy with Data : Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions. - Automate Intelligence : Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions. - Partner Across the Business : Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions. - Tackle Ambiguity : Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems. What We’re Looking For - Technical Mastery : SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau). - Data Storytelling : You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making. - Commercial & Product Acumen : You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior. - Bias for Impact : You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. - Proven Track Record : Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth. - Education : Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience. - Years of Experience : We are hiring for roles with at least 2+ years of relevant experience. Why Join Us? - High Impact - Your datasets will be used daily by teams making product decisions, running experiments, and driving performance. - Real Scale, Real Problems - Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff. - Freedom to Shape - Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building. - Solid Benefits - Competitive compensation & performance-based bonuses - Open vacation policy & hybrid work flexibility - Health support, wellness perks & team social budget About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Product Data Scientist

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. The Role At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products. This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it. What You’ll Do - Be the Decision Engine : Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon. - Shape Strategy with Data : Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions. - Automate Intelligence : Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions. - Partner Across the Business : Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions. - Tackle Ambiguity : Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems. What We’re Looking For - Technical Mastery : SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau). - Data Storytelling : You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making. - Commercial & Product Acumen : You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior. - Bias for Impact : You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. - Proven Track Record : Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth. - Education : Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience. - Years of Experience : We are hiring for roles with at least 2+ years of relevant experience. Why Join Us? - High Impact - Your datasets will be used daily by teams making product decisions, running experiments, and driving performance. - Real Scale, Real Problems - Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff. - Freedom to Shape - Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building. - Solid Benefits - Competitive compensation & performance-based bonuses - Open vacation policy & hybrid work flexibility - Health support, wellness perks & team social budget About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Staff Machine Learning Engineer - Applied ML & Res...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Staff Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives. - Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems. - Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment. - Translate complex technical concepts into clear insights for both technical and non-technical stakeholders. - Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals. - Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement. We're looking for someone with: - Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. - 7+ years of industry experience building and deploying ML models at scale. - Proven ability to lead cross-functional technical initiatives and influence engineering strategy. - Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL. - Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar. - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies. - A track record of shipping production-level ML products and maintaining high code quality. - Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones. Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects or publications in ML conferences. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Machine Learning Engineer - Applied ML & Re...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact - Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components) - Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring - Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability - Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders - Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices We're looking for someone with: - Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus) - 4+ years of industry experience building and deploying ML systems - Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies - Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices - Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Staff Machine Learning Engineer - Applied ML & Res...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Staff Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives. - Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems. - Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment. - Translate complex technical concepts into clear insights for both technical and non-technical stakeholders. - Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals. - Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement. We're looking for someone with: - Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. - 7+ years of industry experience building and deploying ML models at scale. - Proven ability to lead cross-functional technical initiatives and influence engineering strategy. - Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL. - Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar. - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies. - A track record of shipping production-level ML products and maintaining high code quality. - Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones. Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects or publications in ML conferences. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Machine Learning Engineer - Applied ML & Re...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact - Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components) - Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring - Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability - Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders - Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices We're looking for someone with: - Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus) - 4+ years of industry experience building and deploying ML systems - Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies - Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices - Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Machine Learning Engineer - Applied ML & Re...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact - Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components) - Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring - Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability - Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders - Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices We're looking for someone with: - Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus) - 4+ years of industry experience building and deploying ML systems - Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies - Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices - Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Machine Learning Engineer - Applied ML & Re...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact - Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components) - Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring - Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability - Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders - Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices We're looking for someone with: - Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus) - 4+ years of industry experience building and deploying ML systems - Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies - Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices - Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito) - Exposure to streaming data platforms like Kafka - Contributions to open-source ML projects About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Commercial Data Scientist

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. The Role At Super, data isn’t a support function. It’s at the heart of every major decision we make. As a Senior Commercial Data Scientist , you’ll operate at the intersection of product and strategy, owning decision-making, problem framing, and hypothesis generation . Your work won’t sit in slide decks. It will directly shape how millions of customers engage with our products. This is a role for a very special kind of data scientist: someone who loves hard problems, thrives in ambiguity, and gets energised by moving from messy questions to clear decisions that drive strategy. You’ll be expected to not just report what happened, but to uncover why through causal inference , anticipate what’s next, and produce decision memos that influence what we should do about it . You’ll work in close partnership with Analytics Engineers, who build and maintain production data products. Your role is to define what needs to be measured and why , while AE ensures scalable, trustworthy data infrastructure. What You’ll Do Be the Decision Engine - Run deep-dive analyses into customer behaviour, product usage, and commercial performance. - Go beyond surface-level metrics to uncover causal drivers behind phenomena using rigorous statistical methods. - Distinguish correlation from cause-and-effect. Shape Strategy with Data - Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions. - Design and analyse experiments, including A/B tests and quasi-experiments. - Deliver decision memos that change the course of decisions , with quantified impact ranges and clear “so what” guidance for Directors. Define Metrics & Specifications - Design KPI trees and define metric intent. - Specify requirements for Analytics Engineers to implement certified, production-grade data products. - Define tracking plans for instrumentation. - Specify dashboard requirements and acceptance criteria. - Ensure data capture supports decision-making needs. Partner Across the Business - Collaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers. - Lead problem-framing sessions. - Challenge assumptions and reframe vague requests into testable hypotheses. - Bring analytical rigour to high-stakes discussions at the Director level. Tackle Ambiguity Super moves fast. The questions won’t always be clear. You’ll bring structure to chaos by translating broad business challenges into sharp analytical problems with measurable outcomes. What We’re Looking For Technical Mastery - Advanced statistical methods & causal inference : A/B testing, confidence intervals, regression, quasi-experimental designs (difference-in-differences, synthetic controls, regression discontinuity), and an understanding of CUPED and variance reduction techniques - SQL proficiency for exploratory analysis and data validation (we use Snowflake). Enough to spec requirements for Analytics Engineers. Optimisation expertise is not required at this level. Decision Science Mindset A track record of producing decision memos, strategy recommendations, or business cases that measurably influenced product and commercial strategy. You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. Executive Communication You excel at transforming complex causal analyses into clear, compelling narratives. You can distil findings into “so what” recommendations for Directors and other Commercial Stakeholders , making evidence accessible and actionable for strategic decision-making. Commercial & Product Acumen You don’t just crunch numbers. You understand how data connects to business outcomes, product design, and customer behaviour. Proactive Problem Framing You don’t wait for perfectly-scoped requests. You reframe vague asks, propose alternative hypotheses, and drive analytical roadmaps based on business priorities. You’re comfortable with ambiguity and bias toward “what should we do?” over “what happened?”. Proven Track Record Minimum 5+ years of relevant experience in analytics, data science, or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth through causal analysis and experimentation. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Staff Machine Learning Engineer - Applied ML & Res...

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Staff Machine Learning Engineer in our Applied ML & Research team , you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration. What you’ll you be doing: - Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives. - Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems. - Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment. - Translate complex technical concepts into clear insights for both technical and non-technical stakeholders. - Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals. - Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement. We're looking for someone with: - Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. - 7+ years of industry experience building and deploying ML models at scale. - Proven ability to lead cross-functional technical initiatives and influence engineering strategy. - Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL. - Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar. - Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies. - A track record of shipping production-level ML products and maintaining high code quality. - Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones. Bonus points for: - Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. - Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito). - Exposure to streaming data platforms like Kafka. - Contributions to open-source ML projects or publications in ML conferences. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

S

Senior Commercial Data Scientist

Negotiable

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. The Role At Super, data isn’t a support function. It’s at the heart of every major decision we make. As a Senior Product Data Scientist , you’ll operate at the intersection of product and strategy, owning decision-making, problem framing, and hypothesis generation . Your work won’t sit in slide decks. It will directly shape how millions of customers engage with our products. This is a role for a very special kind of data scientist: someone who loves hard problems, thrives in ambiguity, and gets energised by moving from messy questions to clear decisions that drive strategy. You’ll be expected to not just report what happened, but to uncover why through causal inference , anticipate what’s next, and produce decision memos that influence what we should do about it . You’ll work in close partnership with Analytics Engineers, who build and maintain production data products. Your role is to define what needs to be measured and why , while AE ensures scalable, trustworthy data infrastructure. What You’ll Do Be the Decision Engine - Run deep-dive analyses into customer behaviour, product usage, and commercial performance. - Go beyond surface-level metrics to uncover causal drivers behind phenomena using rigorous statistical methods. - Distinguish correlation from cause-and-effect. Shape Strategy with Data - Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions. - Design and analyse experiments, including A/B tests and quasi-experiments. - Deliver decision memos that change the course of decisions , with quantified impact ranges and clear “so what” guidance for Directors. Define Metrics & Specifications - Design KPI trees and define metric intent. - Specify requirements for Analytics Engineers to implement certified, production-grade data products. - Define tracking plans for instrumentation. - Specify dashboard requirements and acceptance criteria. - Ensure data capture supports decision-making needs. Partner Across the Business - Collaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers. - Lead problem-framing sessions. - Challenge assumptions and reframe vague requests into testable hypotheses. - Bring analytical rigour to high-stakes discussions at the Director level. Tackle Ambiguity Super moves fast. The questions won’t always be clear. You’ll bring structure to chaos by translating broad business challenges into sharp analytical problems with measurable outcomes. What We’re Looking For Technical Mastery - Advanced statistical methods & causal inference : A/B testing, confidence intervals, regression, quasi-experimental designs (difference-in-differences, synthetic controls, regression discontinuity), and an understanding of CUPED and variance reduction techniques - SQL proficiency for exploratory analysis and data validation (we use Snowflake). Enough to spec requirements for Analytics Engineers. Optimisation expertise is not required at this level. Decision Science Mindset A track record of producing decision memos, strategy recommendations, or business cases that measurably influenced product and commercial strategy. You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle. Executive Communication You excel at transforming complex causal analyses into clear, compelling narratives. You can distil findings into “so what” recommendations for Directors and other Commercial Stakeholders , making evidence accessible and actionable for strategic decision-making. Commercial & Product Acumen You don’t just crunch numbers. You understand how data connects to business outcomes, product design, and customer behaviour. Proactive Problem Framing You don’t wait for perfectly-scoped requests. You reframe vague asks, propose alternative hypotheses, and drive analytical roadmaps based on business priorities. You’re comfortable with ambiguity and bias toward “what should we do?” over “what happened?”. Proven Track Record Minimum 5+ years of relevant experience in analytics, data science, or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth through causal analysis and experimentation. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

Lead AI Engineer 🏔️ About Sierra Studio Sierra Studio is an AI engineering studio and startup incubator – we turn our customers’ ideas into reality! We’re based in Los Angeles, but our teammates live all around the world. We create products across all areas of software — from web and mobile apps to cutting-edge work at the forefront of AI and large language models. 💼 About The Role As a Lead AI Engineer, you’ll lead engineering for one or more AI initiatives at Sierra. You’ll architect the stack, prompt engineer LLMs to solve real world problems, and work with your teammates to do whatever it takes to ship great products. You’ll work closely with product managers, designers, and other engineers to take products from idea to production. As an early employee at a startup, you’ll also be part of creating our culture! Here’s a taste of what you could do at Sierra! - Client projects: Work with a startup founder to build the MVP of their idea - Internal projects: Build an internal AI tool to transform our own workflows - Hiring: Help us grow our team and interview future candidates - Leadership: Mentor other engineers to level up our team 🔎 Who We’re Looking For We’re looking for a lead engineer who has experience building great products with LLMs, whether that’s at work or on personal projects. ✨ LLMs & AI - You’ve built something cool with LLMs, whether it was for work or a personal project - Experience with prompt engineering, RAG, and agentic patterns - Experience building evals for LLM-powered products - Growth mindset: Ability to quickly learn new skills in the AI space - Strong curiosity about AI and the impact of LLMs 🧑🚀 Leadership - Ability to lead the technical direction of products from idea to production - Ability to work effectively with product, design, and other partners - Ability to contribute to multiple projects at the same time - Very strong written + verbal communicator in English 💻 Software engineering - Backend: Either Python (e.g. FastAPI) or TypeScript experience is nice to have! 🔥Bonus skills – nice to have! - Experience with finetuning LLMs - Staying up to date with latest research papers in AI - Uses AI tools (Cursor, Claude Code, etc) to supercharge your own coding workflow - You have interesting personal projects you can share with us! 💖 Our culture - Growth mindset: We look to magnify our strengths, take chances, and always learn from our mistakes. - Supportive: We keep our egos out of the workplace and support each other when trying new things. - Product & customer centric: We care deeply about our customers and clients and always keep their needs top of mind. We build tech to solve real problems. - Ownership: We take initiative, even when it is “not our job.” As a startup, we all wear lots of hats. 💡 Why join us? At Sierra Studio, we believe in nurturing talent and creating good vibes at work. We seek inclusion and embrace our differences. We’re all about “growth mindset”, and we look to magnify our strengths, take chances, and always learn from our mistakes. We don’t fit our teammates into boxes, and instead we understand that each person has their own unique set of skills that they bring to the table. If you join us, we’ll embrace who you are today, and give you the space and tools to keep growing. Salary Range: $60,000 - $80,000 annually. Your exact compensation will be determined based on a variety of factors that reflect your individual qualifications and how they align with the needs of the role.

About Us 🚀 Immutable is the world’s fastest-growing game platform, built to power the next generation of games. We aim to drive the next evolution of gaming, combining performance, digital ownership and cutting-edge technology to help games grow and succeed. At the intersection of AI-driven analytics, high-performance growth tools, and seamless digital ownership, our technology helps studios attract, engage, and scale player communities across both Web2 and Web3. Founded in 2018, Immutable is one of Australia’s fastest companies to reach unicorn status, raising more than AUD $400M+ with a valuation of AUD $3.5B. Today, more than 700 games are building on Immutable, and industry leaders like Ubisoft have chosen us as their partner for the future of gaming. Over 6 million players use Immutable Passport, our unified identity enabling frictionless cross-game experiences, and our Immutable Audience platform has become the fastest-growing SaaS product line in our history. We're scaling rapidly, backed by a global team of creators, engineers, and gamers united by one mission: to build the most valuable growth layer in gaming and redefine how games launch, scale, and succeed. 🚀 About The Role 🤔: As Engineering Manager for Immutable Play, you'll be a technical leader who thrives in a fast-paced, agentic environment where AI tools are the default, not the exception. This is a high-impact, product-focused role leading streams responsible for play.immutable.com, the primary gateway for players to discover games. You'll lead cross-functional streams (Engineers, Product Manager, Data Scientist, Product Designer), with a mandate to drive player onboarding, engagement, and retention at scale. Each stream is a focused feature line with 2–3 engineers, supported by PM, Design, and Data. You'll have full access to all AI tools like Claude, Cursor, and more, to drive technical direction and rapid prototyping. This role is hybrid in our Sydney HQ (3 days/week). We offer national and international relocation support and visa sponsorship. You'll Be Empowered To 🎮 We'd Love You To Bring 🤝 Bonus Points For ✅ We are proud of the benefits that we offer for all of our employees globally. Here is a snapshot 😊 Attracting the best global talent 💸 We commit to paying globally competitive base salaries and contributions to a long-term fund 📊 Sharing our products' success through Employee Stock Options ESOP 🌟 Our flexible working model blends the best of both worlds: Sydney-based employees enjoy hybrid 3 days a week in our vibrant head office, while remote team members can work from home or utilise access to global office hubs via a WeWork All-Access pass 🥘 Lunch is ordered fresh every day in our friendly office in Sydney CBD 🎉 Quarterly End of Cycle Celebration Awards and Dinner 💻 USD $500 WFH allowance to set up your home office ☎️ USD $600 per annum to put toward your internet and phone usage. 🥳 USD $75 per quarter for remote employees to celebrate with local team members ⛑️ We also support our US Employees with Medical and 401K Insurance 🚘 Our Australian Employees can avail of Novated Leasing, save money by paying for your car using pre & post-tax dollars Levelling up your growth 🌱 We offer up to USD $1,350 per annum for any classes, courses or events to support your growth and development 📚 Enjoy access to free online courses via Udemy Helping you thrive 💆🏽♀️ Enjoy USD $800 per year to put toward your health and wellbeing 🤗 Get 24/7 access to unlimited counselling for you and your family when you need it through our EAP Service 🎁 Monthly subsidy and discounted rate with ClassPass, including a 1-year free membership to Breethe Leave when you need it the most: 👨👧👦 New parents receive 12 weeks of paid leave in our gender-neutral offer. The birthing parent also gets an additional 6 weeks of leave for rest and recovery leading up to and after birth. We also offer Miscarriage Leave and extra leave for IVF treatments 🌟 Enjoy 2 additional paid annual leave days at the end of the year 🎂 Birthday you get a paid day off Additional Information: Immutable is committed to building and fostering an inclusive, diverse workplace. We believe in incorporating everyone's perspectives and experiences as this has been a significant driver of our success so far. We are a 2026 Circle Back Initiative Employer. This means a human reviews every application and we commit to responding to every applicant. *A note to recruitment agencies: Our internal team has this role covered, so there is no need to reach out - We don't accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes. Thank you! Join us in shaping the future of gaming!

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Data Scientist, Analytics

$160,000 – $180,000

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams including revenue and performance. If you’re passionate about data, impact, and working on an amazing team, read on! What you'll be doing - Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing - Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information - Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes - Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve - Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly - Collaborate with data and engineering teams to design scalable and future-proof instrumentation What you should have - 3+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics - 3+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations - 2+ years experience writing excellent SQL - Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways - 2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment - A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord - Last but not least - a collaborative attitude and a healthy dose of natural curiosity! Bonus Points - Passion for Discord or online communities - Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc. - Experience in the user engagement and growth problems - Experience writing performant code in BigQuery SQL - Experience with writing production ETL - Experience leveraging AI for data science The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

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Senior Software Engineer, Machine Learning (Commer...

$220,000 – $247,500

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. We are looking for a Senior Machine Learning Engineer to join our Revenue ML team at Discord. This role sits at the intersection of Discord's two most strategic revenue pillars — our growing 1P Shop and our newly launched Game Commerce platform, which connects players to in-game items from major publishers like Marvel Rivals, Fortnite, Valorant, and more. You'll be the founding ML voice for commerce discovery and personalization, building systems from the ground up that power recommendations, social commerce mechanics, and marketing targeting across both first-party and third-party storefronts. This is a high-impact, high-leverage role. Discord's social platform gives us a fundamentally differentiated commerce advantage — deep social graphs, fan communities, and native gaming context — and you will be the person who turns that into ML-powered products that drive meaningful GMV growth. What You'll Be Doing: - Architect and own the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces (homepage, cart, post-purchase, wishlist, and more). - Design and deploy scalable real-time recommendation and ranking systems that support a growing catalog of 1P and 3P items across heterogeneous game publisher inventories. - Build ML-powered marketing targeting systems that identify the right users for the right campaigns — new buyer discounts, drop campaigns, weekly deals, and seasonal promotions — driving conversion without conditioning users to wait for discounts. - Leverage Discord's unique social graph to build social commerce ML: gifting recipient prediction, group buying conversion modeling, and friend-group recommendations that differentiate Discord from traditional game storefronts. - Drive deep learning A/B testing infrastructure and model monitoring to translate experimentation results into actionable product decisions. - Partner closely with Shop, Game Commerce, Revenue Infra, ML Infra and Data Engineering teams to define ML requirements, surface integration points, and influence the commerce roadmap. What You Should Have: - 4+ years of experience as a Machine Learning Engineer, with a track record of owning and shipping recommendation or personalization systems end-to-end. - Deep expertise in applied deep learning — particularly embedding models, two-tower architectures, and retrieval/ranking systems for e-commerce or content recommendation. - Strong proficiency in Python and deep learning frameworks (PyTorch preferred). - Experience building and operating real-time ML serving infrastructure at scale, including feature stores, model serving, and A/B testing frameworks. - Demonstrated ability to work in early-stage, high-ambiguity environments and build ML systems from the ground up, not just improve existing ones. - Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact. - Strong cross-functional instincts — you're comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution. Bonus Skills: - Experience applying graph ML or social network signals (social affinities, community behavior) to recommendation or personalization problems. - Familiarity with personalized marketing systems: lifecycle targeting, audience segmentation, and campaign optimization. - Familiarity with loyalty, rewards, or incentive pro The US base salary range for this full-time position is $220,000 to $247,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

ABOUT YOU We're seeking a Lead AI/ML Engineer to architect and scale our data infrastructure supporting personalization, churn prediction, and recommendation systems across Xsolla's global gaming commerce platform. You'll lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines integrating multiple sources, and establish best practices for data quality, governance, and performance. This role combines hands-on technical leadership with cross-functional collaboration, mentoring engineers, partnering with data science and backend teams to productionize ML features, and working directly with the Director of Data Platforms to translate business needs into technical solutions. You'll be instrumental in shaping our data mesh architecture while ensuring compliance, scalability, and operational excellence as we serve game developers worldwide. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Qualification & Skills: Nice to Have: Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Lead AI/ML Engineer we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

ABOUT YOU We are looking for a Full-Stack AI Engineer who is innovative, curious, and passionate about generative AI to join our GenAI engineering team in Kuala Lumpur. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build cutting-edge AI-powered applications and platforms that transform how game developers work and create. Strong proficiency in Python and TypeScript is essential, along with hands-on experience building full-stack applications using Next.js, modern frontend frameworks, and scalable backend infrastructure. The ability to stay current with rapidly evolving AI technologies—from LLM integrations to agentic systems—while delivering production-grade, user-focused solutions will be key to your success in this role. If you're passionate about pushing the boundaries of AI technology and love building intelligent tools that empower the gaming industry, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Requirements Nice to Have BENEFITS: Convenient work tools Latest Mac workplaces + additional hardware to make you more effective at work Google Chat, Gmail, Google Drive, Confluence, Jira, GitLab Professional growth Free trainings and participation in specialized conferences Rich knowledge exchange within the company More perks Health insurance (Medical, dental and optical)- Employee and dependants Flexible hours: organize your day according to your needs and sprint & teamwork demands No dress code Comfortable and new office environment The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com. For more vacancies: https://xsolla.com/careers

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Senior Machine Learning Engineer

Negotiable

Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you. We expect you to: - Have deep passion for video games and think on behalf of our players - Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you - Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space - Be responsible for your domain of expertise on projects from inception to delivery and beyond Required Skills - 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products - Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task - Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance - Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP - Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction - Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet) - Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders Preferred Experience Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute: • Experience with graph databases, collaborative filtering, or user vectorization • Experience with large-scale sentiment analysis • Experience with Typescript or Golang • Experience with source control, CICD, Protobuf, or infrastructure as code • Experience in the video game industry • Experience in a small company with a startup feel • Interest in technical writing and sharing your work Perks: • Paid Time Off, Holidays and Two Weeks Winter Break • Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in. • Pet Insurance for those who need it too. • Compassionate leave for employees who needs to take care of their family members • Pre-tax wellness stipend • Pre-tax work from home stipend • Access our savings plan (401K program) with company match • Mental health resources including Headspace membership and Employee Assistance Program (EAP) • Discount portal for everyday goods and services • Employee inclusive and diversity initiatives such as Grow Together • Support for personal professional development We look forward to meeting you! Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off. Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area. LI-Remote

ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Qualifications & Skills: Nice to Have: Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Full Stack AI Engineer, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification. Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds

ABOUT YOU We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Qualification & Skills: Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Data Scientist, we will conduct a background check that may include the following Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

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Full-stack Engineer (AI application focused) - Chi...

Negotiable

Sky has an amazing and vibrant community of socially minded players, and we are tirelessly working on solutions to deepen player interaction and create lasting friendships. We are seeking an experienced Full Stack Engineer to deliver solutions for solving in-game and internal team challenges Responsibilities - Work with the ITS team to deliver AI-driven solutions aligned with the Enterprise AI strategy for streamlining day-to-day operations - Design and manage the enterprise agentic-AI orchestration platform, keeping UX, security, and governance in mind. - Partner with Publishing, Infra, IT, Legal, and other functions to identify, prioritize, and ship high-value AI capabilities—agents, automations, copilots—from pilot to scale. - Build and nurture a cross-functional Community of Practice around enterprise AI adoption, including training and enablement. - Collaborate with fellow developers to plan, design, build, and unit-test applications. Required Skills - Familiarity with agent frameworks (LangChain, Dify, n8n, etc.) and orchestration tools (LangGraph, Microsoft AutoGen, etc.). - Familiarity with knowledge-search tech: RAG, vector DBs, retrieval-augmented generation. Experience in LLM landscape such as Google Gemini, OpenAI ChatGPT, Alibaba Qwen—knowing model advantage, token limits, latency, and cost. - Experience in automation and web application development - 2+ years of hands-on production experience with TypeScript, Python, or similar AI-related languages. - Experience with the Git version control system. - Thrive in a highly collaborative environment involving cross-functional and multi-disciplinary teams. - Strong initiative to find ways to improve solutions, systems, and processes. - Fluent in spoken English and Chinese. Preferred Skills - Have game development experience. - Have image recognition & XR development experience Experience in mobile client and console platform development. - Experience designing and building enterprise AI applications for production use. - Experience optimizing token cost, such as caching, batching, and cutting the fluff. Knowing about multimodal and algorithms such as CLIP, LLAVA, VALL-E." - Knowledge of TRiSM (Trust, Risk, and Security Management) frameworks for AI. We look forward to meeting you!

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Software Engineer, ML Products

$99,500 – $200,000

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 We are seeking Software Engineers to join the ML Products team. This team is focused on matching Twitch viewers with the communities they will love. To do this, we own the systems which power recommendations, search, notifications, feed, and onboarding. As a member of our team, you'll work to improve these products, invest in new ones, and make Twitch discovery better for both viewers and creators. You'll be part of a larger team of Software Engineers and partner with Product Managers, Applied Scientists, and other engineering teams across the company. This role is based in San Francisco, CA. You Will: - Maintain and improve the systems which power discovery on Twitch - Partner with Applied Scientists to improve ML models that match interested viewers with relevant creators - Collaborate with Product Managers to build, experiment, and roll out new Twitch discovery experiences You Have: - Bachelor's degree in Computer Science or a related field (or equivalent industry experience as a Software Engineer) - 1+ years of experience delivering high quality software in a production environment - Proficient coding skills in modern languages and frameworks - Familiarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentals - Willingness to try new things and collaborate with a diverse group of people Bonus Points - Experience with AWS technologies (such as S3, ECS, Lambda, DynamoDB, Redis, SQS, Flink, OpenSearch, and Sagemaker) - Experience writing Go in production systems - Experience with recommendations, search, or notification systems - Experience building and maintaining ML systems in production environments - Familiarity with Twitch and/or streaming on Twitch Perks - Medical, Dental, Vision & Disability Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW8946 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience . Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more . Applicants should apply via our internal or external career site. US Pay Per Year $99,500 - $200,000 USD Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.

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Software Engineer I, Monetization ML

$127,100 – $185,000

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 ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products – systems that optimize revenue and detect fraud while serving millions of users in real-time. From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization. Our team are based in San Francisco, CA and Seattle, WA You Will: - Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem - Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale - Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users - Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences - Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale - Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows - Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts You Have: - 1+ years of professional software development experience with a focus on building scalable systems - Experience building production ML infrastructure, including model deployment, serving, and monitoring systems - Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies - A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements - Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar) - Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design - Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience Bonus Points - Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond - Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines - Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions - Knowledge of real-time ML serving systems and model deployment at scale - Experience with fraud detection, recommendation systems, or monetization optimization - A passion for gaming, streaming, or the Twitch platform Perks - Medical, Dental, Vision & Disability Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW9103 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . US, WA, Seattle - Annually $110,500 - $160,000 USD US, CA, San Francisco - Annually $127,100 - $185,000 USD Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.

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Software Engineer I, Monetization ML

Negotiable

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 ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products – systems that optimize revenue and detect fraud while serving millions of users in real-time. From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization. Our team are based in San Francisco, CA and Seattle, WA You Will: - Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem - Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale - Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users - Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences - Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale - Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows - Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts You Have: - 1+ years of professional software development experience with a focus on building scalable systems - Experience building production ML infrastructure, including model deployment, serving, and monitoring systems - Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies - A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements - Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar) - Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design - Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience Bonus Points - Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond - Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines - Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions - Knowledge of real-time ML serving systems and model deployment at scale - Experience with fraud detection, recommendation systems, or monetization optimization - A passion for gaming, streaming, or the Twitch platform Perks - Medical, Dental, Vision & Disability Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW9103 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . US, WA, Seattle - Annually $110,500 - $160,000 USD US, CA, San Francisco - Annually $127,100 - $185,000 USD Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.

The opportunity Senior Managing Counsel, AI Governance (Privacy Team) Location: San Francisco or Remote US Department: Privacy and Compliance Reports to: VP, Deputy General Counsel, Privacy & AI Governance Overview We are seeking an experienced AI Governance Lead to design, implement, and oversee privacy-centric governance for AI development and deployment. This role acts as a framework owner, advisor, and process architect, ensuring compliance with international AI laws, privacy regulations, and ethical standards through close collaboration with Product, Security, Legal, and Engineering teams. What you'll be doing - Key Responsibilities: - Lead AI Program Governance and Policy: Determine the applicability of international AI laws, lead policy development, act as the Framework Owner, and establish ethical standards and clear guidelines for AI development. Streamline substantial assessments (Privacy, Safety, AI) and propose AI-enabled tooling to reduce effort. - Manage AI Incident Response: Review and modify incident response processes to incorporate AI-specific triggers and regulatory reporting lines, aligning them with existing roles and Security’s AI Acceptable Use Policy. - Oversee AI Risk Management: Maintain the AI Risk Management Policy and define a standard risk taxonomy (rights-based versus technical risks). - Establish Data Governance Standards: Define standards for dataset governance, including design, origin review, labeling, bias assessment, and data quality. Conduct Privacy reviews and advise on legal standards related to bias and discrimination. - Maintain Documentation and Record keeping: Own templates for AI technical and transparency documentation and update retention schedules to include AI-related records. - Ensure Accuracy, Robustness, and Cybersecurity: Advise on adapting security and compliance programs to meet AI-specific legal obligations and collaborate with technical teams to ensure models satisfy defined accuracy metrics and compliance standards. - Drive Accessibility: Provide an overview of AI-related accessibility requirements and partner with UX/UI and Product to ensure outputs and interfaces meet legal standards. - Implement Quality Management and Monitoring: Review and adjust standard Quality Management System (QMS) protocols for AI design, testing, validation, and post-market monitoring. Maintain standard processes and reporting templates for continuous model performance and compliance. - Manage User Transparency and Disclosures: Develop standard guidance on language and timing for disclosures (e.g., “AI Generated”) and coordinate implementation in the UI with Product. - Uphold AI Ethics: Uphold organizational principles for ethical AI, maintain the AI/Model Ethics Assessment template, and contribute to operating an AI Ethics Board. - Advise on Contractual Provisions: Provide guidance on contractual safeguards and draft standard clauses and pass-through terms for High-Risk components, supporting vendor/customer negotiations. - Handle Registration and Training: Manage required regulatory filings and registrations. Develop and deliver role-based training on AI policies/compliance. - Specialist Consultation: Coordinate specialized legal analysis (e.g., IP, Employment) with appropriate co-counsel. What we're looking for - Qualifications: - At least seven (7) years experience in privacy, compliance, or governance roles, with three (3) years focused on AI or data-centric products. - Strong knowledge of international AI regulatory frameworks (e.g., EU AI Act), global privacy laws (e.g., GDPR, CCPA), and discrimination/bias standards. - Experience designing policies, templates, QMS, and documentation for regulated technologies. - Familiarity with incident response, risk management taxonomies, and model performance monitoring. - Proven ability to collaborate cross-functionally with Product, Engineering, Legal counterparts, and Security teams; excellent communication skills. You might also have - Preferred: - Experience with accessibility standards, cybersecurity frameworks, and contractual provisions for technology products. Additional information - Relocation support is not available for this position - Work visa/immigration sponsorship is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy . Should you have any concerns about your privacy, please contact us at DPO@unity.com. DIR *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary $205,000 - $255,000 USD