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Updated 14 Nov 2026, 09:41 UTC

👤 HumanFull-timeExpert / Staff+

By UnityJul 25, 2026

Machine Learning Engineer

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Bengaluru, India About the Role The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. We are looking for an experienced Machine Learning Engineer to join our Bengaluru team and help scale the next generation of our AI/ML models. In this role, you will build and operate the pipelines behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing systems to implementation, deployment, and long-term ownership. You will focus on building scalable, reliable services and application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. Responsibilities - Deploy, manage & support ML Applications & Services on Kubernetes - Understand MLOps landscape i.e tooling, tech stack, source systems etc. and work on introducing new tools and solutions for ML & AI initiatives. - Partner and align with Data Scienti

👤 HumanFull-timeSenior

By CloudflareJul 25, 2026

Machine Learning Engineer, Next-Generation Recomme...

Negotiable

The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing - Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. - Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. - Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. - Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. - Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. - Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for - PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). - Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. - Experience working with large-scale data and ML systems, whether through research or industry internships. - Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. - A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. - Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have - Industry experience in ads, recommendation, or user understanding systems (internship experience counts). - Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. - Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. - Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. - Exposure to causal inference, uplift modeling, or A/B testing at scale. - Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information - Relocation support is not available for this position $127,400.00 - $191,200.00 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. 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. 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. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website 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 and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

👤 HumanFull-timeMid

By UnityJul 25, 2026

Senior Software Engineer, 3D Systems & AI

Negotiable

Negotiable

The opportunity Our Gamer AI team develops conversion rate prediction and market price models that power our ad ranking and recommendation systems. By leveraging large-scale data and contextual signals, we continuously enhance prediction relevance and accuracy. This drives outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend, helping advertisers achieve their goals while delivering a more engaging experience for users. We are seeking a skilled Senior ML Engineer to build and maintain advanced systems for understanding user behavior across applications. You will be responsible for improving ad ranking, conversion predictions, and recommendation systems, enabling richer behavioral models, smarter bidding strategies, and more effective ad performance. What you'll be doing - Design, implement, and maintain user understanding models. - Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback. - Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution. - Effectively communicate complex technical concepts to non-engineering stakeholders. What we're looking for - Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience. - 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems. - 3+ years of experience in content understanding, behavior modeling, user profiling, and cohort analysis. - Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar. - Knowledge of metric design, experimentation methodologies, and large-scale data analysis. You might also have - Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces. - Experience with state-of-the-art control systems, reinforcement learning algorithms. Additional information Relocation support is not available for this position Annual Gross Pay: USD $159,600 - $239,400 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. 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. 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. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website 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 and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

👤 HumanFull-timeMid

By UnityJul 25, 2026

Sr. Machine Learning Engineer, Ads Modeling

Negotiable

Negotiable

Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company. Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems. To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound. The Role We are seeking a senior ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads. You will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform. What You’ll Do - Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation - Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc. - Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows - Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing - Optimize performance and resource utilization across distributed compute systems used for data processing and model training - Partner closely with ML engineers to enable efficient large-scale experimentation and model iteration - Lead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient What We’re Looking For - Experience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem ( Ray Data, Ray Train) for distributed data processing and model training - Experience building and optimizing large-scale distributed ML training pipelines with Torch Compilation, Quantization, CUDA, GPU kernel optimization etc. - Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines - Deep experience designing and operating production-grade data pipelines - Strong programming skills in Python and experience working with large-scale distributed workloads - Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms) - Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems - Proven ability to lead technical direction and influence architectural decisions across teams without formal authority Additional information - Relocation support is not available for this position - Work visa/immigration sponsorship is not available for this position This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. 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 an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. 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. 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 website 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 and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

👤 HumanFull-timeExpert / Staff+

By UnityJul 25, 2026

Développeuse ou développeur backend sénior, Outils...

Negotiable

L’opportunité Nous recrutons une ou un développeur backend sénior pour joindre notre équipe Engine AI. Il s’agit d’une petite équipe à fort impact qui conçoit les outils IA internes et l’infrastructure qui permet aux développeurs de notre équipe Engine d’être plus rapides et plus efficaces chaque jour. Dans ce rôle, vous serez responsable de concevoir, développer et maintenir l’infrastructure dorsale (backend) qui alimente nos solutions d’IA internes, et vous mettrez un accent particulier sur la performance, la fiabilité et l’évolutivité des systèmes d’inférence. Vous collaborerez étroitement avec les responsables techniques, les équipes produit et les équipes de développement pour concevoir et exploiter les services essentiels qui soutiennent l’ensemble de l’organisation Unity Engine. Ce poste offre l’occasion unique de dépasser la simple utilisation pour participer à la création : vous façonnerez activement les outils agentiques qui porteront la productivité à un nouveau niveau au sein de Unity. Ce que vous allez faire - Concevoir, développer et déployer des services dorsaux évolutifs, hautement performants et de qualité production, ainsi que des systèmes distribués pour prendre en charge l’inférence de modèles à grande échelle. - Contribuer de façon significative à la feuille de route technique et à la conception de notre plateforme d’inférence, en mettant l’accent sur des services à faible latence et à haut débit. - Concevoir l’architecture et mettre en œuvre des services centraux pour l’Agent Development Kit (ADK) et d’autres cadres d’orchestration d’agents IA, afin de permettre une gestion fiable de l’état et des flux de travail complexes multi-agents. - Assurer la fiabilité, l’évolutivité et l’efficacité de nos systèmes en production en utilisant des outils de surveillance et d’observabilité, comme Prometheus et Grafana. - Collaborer de manière transversale avec les équipes de gestion des versions, d’AQ des versions, de produit et de développement afin d’aligner nos solutions sur les priorités stratégiques de l’entreprise. - Gérer et optimiser notre infrastructure infonuagique (GCP) et orchestrer les charges de travail avec Kubernetes. - Promouvoir et mettre en place les meilleures pratiques pour le développement, les tests, le déploiement et la surveillance des services dorsaux (DevOps, SRE). Ce que nous recherchons - Vaste expérience pratique dans la conception, le déploiement et la maintenance de systèmes distribués à grande échelle, incluant la gestion d’une infrastructure infonuagique sur GCP et l’orchestration de charges de travail avec Kubernetes. - Maîtrise de Python / Node.js / Golang pour concevoir des systèmes et des infrastructures hautement performants et à faible latence. - Connaissance de l’Agent Development Kit (ADK), du Claude SDK, de LangGraph ou d’autres cadres d’orchestration d’agents IA. - Connaissance des architectures de microservices, de la conteneurisation (Docker) et des bonnes pratiques de CI/CD. - Excellentes aptitudes en communication et en collaboration, avec la capacité d’expliquer des concepts techniques à des publics autant techniques que non techniques. Vous avez peut-être également - Avoir un profil DevOps ou SRE avec de l’expérience en automatisation d’infrastructure. - Avoir de l’expérience dans la création d’intégrations GitHub ou d’outils automatisés pour les développeurs. - Avoir de l’expérience et un intérêt marqué pour la création d’outils spécifiquement destinés aux flux de travail internes des développeurs. Information supplémentaire - Le support à la relocalisation n’est pas disponible pour ce poste - Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste -- The opportunity We are hiring a Senior Backend Developer to join our Engine AI team. This is a small high-impact team that builds the internal AI tools and infrastructure that make developers within our Engine group faster and more effective every day. In this role, you will be responsible for designing, developing, and maintaining the backend infrastructure that powers our internal AI solutions, with a focus on the performance, reliability, and scalability of inference systems. You will collaborate closely with tech leads, product, and engineering teams to build and operate the critical services that support the whole Unity Engine organization. This role offers the unique opportunity to move beyond consumption to creation, as you actively build and shape the Agentic tools that will drive a new era of productivity across Unity. What you'll be doing - Design, develop, and deploy scalable, high-performance, and production-grade backend services and distributed systems to support large-scale model inference. - Contribute significantly to the technical roadmap and design of our inference platform, focusing on low-latency, high-throughput services. - Architect and implement core services for the Agent Development Kit (ADK) and other AI orchestration frameworks, enabling reliable state management and complex multi-agent workflows. - Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana. - Partner cross-functionally with release management, release QA, product, and engineering teams to align our solutions with strategic business needs. - Manage and optimize our cloud infrastructure (GCP) and orchestrate workloads with Kubernetes. - Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE). What we're looking for - Extensive hands-on experience designing, deploying, and maintaining distributed systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes. - Expertise in Python / Node.js / Golang for building high-performance, low-latency systems and infrastructure. - Familiarity with Agent Development Kit (ADK), Claude SDK, LangGraph or other AI agents orchestration frameworks. - Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices. - Excellent communication and collaboration skills, with an ability to articulate technical concepts to both technical and non-technical audiences. You might also have - A DevOps or SRE background with experience in infrastructure automation. - Experience building GitHub integrations or automated developer tooling. - Experience and a passion for building tools specifically for internal developer workflows. Additional information - Relocation support is not available for this position - Work visa/immigration sponsorship is not available for this position Base Salary Range: We determine the base salary range for this role based on your primary work location: Zone A: $125,300 – $175,300 CAD gross Zone B: $135,400 – $203,000 CAD gross Cette fourchette correspond au salaire de base prévu pour ce poste. En plus du salaire de base, ce poste peut donner droit à des attributions d’actions et à une participation à nos programmes d’incitation de l’entreprise, comme des primes annuelles discrétionnaires ou des commissions de vente. Le montant final de l’offre dépendra de plusieurs facteurs, notamment l’emplacement géographique ainsi que l’expérience pertinente, le parcours professionnel et les compétences du/de la candidat(e). This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Avantages Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle. Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi. Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons La vie chez Unity Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity. Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com . Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire. Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais. Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity. La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats . Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com. 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. 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 website 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 and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

👤 HumanFull-timeSenior

By UnityJul 25, 2026

Product Manager - Platform, Applied AI/ML

Negotiable

Negotiable

Job Posting Title: Manager, Machine Learning Engineering - Ad Platforms Req ID: 10152782 Job Description: Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance various aspects of ad serving. We are seeking a Senior Manager Machine Learning to join this innovative team. This role offers a unique leadership opportunity for an experienced ML/AI and people leader who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration. Job Summary: You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US highlighting cross-functional collaboration. Daily, you should bring: - A willingness and desire to effectively communicate and collaborate across teams and systems on architecture, design, and implementation. - A passion for mentoring, learning, and taking on new challenges. - A proven ability to work with product teams to translate requirements into - well-defined technical implementations, as well as the ability to define technical and operational metrics to measure system health. - A keen eye for potential optimizations and enhancements. - Kindness and pragmatic optimism. - A deep understanding of model development cycles and AI tool usage Responsibilities and Duties of the Role: - Lead, mentor and guide Data Scientists, Machine Learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection. - Lead by example and always strive to improve the design for more scalable, cleaner, and decoupled implementations. - Drive adoption of best practices in model development, code quality, testing, and documentation. - Solid understanding and usage of automated tools (AI) while adhering to company policy. - Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders. - Oversee end-2-end machine learning workflow, including data collection, model development, deployment and modeling. These are expected to be aligned with the larger platform strategy and tools in collaboration with the global teams to stay consistent across Ad Platforms. - Foster innovation by exploring new ML techniques, tools, and technologies. - Communicate strategies, progress, and results to leadership and cross-functional teams. - Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards. - Develop partnerships across the organization to identify and prioritize high-impact ML opportunities. - Available for On-Call rotations based on the team’s escalation policy and support schedule for ML/AI solutions Basic Qualifications: - Bachelor’s or master’s degree in computer science, Engineering, - Mathematics, Statistics, or a related field. - 8+ years of relevant industry experience, with at least 2-3 years in a people-management or technical leadership role. - Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling. - Proven experience designing, building, and deploying scalable machine learning models and systems in production. - Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices - Advanced programming proficiency (e.g., Python, Java, or similar); experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face). - Experience building, fine-tuning, evaluating, and deploying LLM-based systems (e.g., RAG, prompt engineering, model optimization) - Demonstrated ability to lead global teams and collaborate across organizational boundaries. Preferred Qualifications: - Domain knowledge in the Ad Tech industry - Experience working with large-scale data and distributed systems. - Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and MLOps pipelines. - Track record of innovation and contributions to the ML/AI community (publications, talks, open source). DISNEYTECH The hiring range for this position in Los Angeles, CA area is $171,600 - $230,100 per year and Seattle Area is $179,700 - $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2500 Broadway Street Date Posted: 2026-06-03

👤 HumanFull-timeMid

By DisneyJul 25, 2026

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