Join the Ubisoft AI Initiatives team and architect the future of the information lifecycle at Ubisoft. From advanced hybrid search and RAG pipelines to complex agentic reasoning we are engineering the tools that turn raw information into high-velocity decision-making. If you want to push the boundaries of how humans and AI collaborate to solve complex problems this is your arena.
We are seeking a highly skilled Machine Learning Engineer to design build evaluate and optimize AI models and intelligent systems that power these applications. You will work at the intersection of machine learning research large-scale data systems and production engineering transforming cutting-edge AI capabilities into robust scalable real-world solutions.
What youll do
- Design and Optimize AI Systems: Design fine-tune and optimize machine learning models including LLM-based retrieval and multimodal systems for production use.
- Build Intelligent Retrieval & Agentic Pipelines: Develop and improve RAG pipelines and agent-based workflows including embeddings vector search orchestration and evaluation.
- Extract Insights from Internal AI Usage: Leverage internal AI platform data (chat interactions prompts usage logs) to perform topic extraction clustering and trend analysis transforming usage patterns into actionable product insights.
- Productionize and Scale Models: Deploy monitor and optimize ML models in cloud-native environments ensuring scalability reliability and cost-efficiency.
- Evaluate and Improve Model Performance: Define evaluation frameworks run experiments and continuously improve model quality robustness and user impact.
- Collaborate Across Engineering and Product: Partner with software engineers SREs and product teams to integrate AI systems into scalable architectures and deliver high-impact solutions.
Qualifications :
We are seeking a strong ML practitioner with both deep technical expertise and production-oriented engineering mindset.
Must-Have Qualifications:
- Experience: Solid experience in machine learning engineering or applied AI with proven experience delivering ML systems in production.
- Programming & Frameworks: Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch TensorFlow JAX or equivalent.
- LLMs & Modern AI: Practical experience with Large Language Models embeddings transformer architectures and fine-tuning or prompt engineering techniques.
- RAG & Retrieval: Experience designing or implementing RAG pipelines including vector databases hybrid search and query optimization strategies.
- Model Deployment & Cloud: Experience deploying models via APIs using Docker and cloud platforms such as AWS GCP or Azure.
- Data & System Thinking: Solid understanding of data pipelines experimentation evaluation metrics and ML systems operating within distributed scalable architectures.
Nice-to-Have Qualifications:
- Experience building or integrating AI agents and multi-agent systems (e.g. LangGraph CrewAI Strands Agents).
- Familiarity with inference optimization techniques such as quantization distillation batching or caching.
- Experience working with multimodal models (text vision audio).
- Knowledge of MLOps best practices including model registries CI/CD for ML monitoring and drift detection.
- Experience operating AI workloads in cloud-native environments (e.g. Kubernetes serverless) and/or contributing to open-source or research initiatives.
Growth Opportunities
Joining our team as a Machine Learning Engineer in AI Initiatives offers the opportunity to:
- Build AI systems that directly impact creative workflows and decision-making across Ubisoft.
- Work on cutting-edge AI paradigms including agentic systems and multimodal reasoning.
- Influence the evolution of AI standards and best practices within a global organization.
- Grow toward senior technical leadership roles or specialized AI positions.
Additional Information :
Ubisofts perks
Profit Sharing yearly company saving plan. 25 paid time off 12 additional paid days off. 50% of your transportation pass is paid by the company lunch vouchers (9/day) healthcare for you and your family and lots of Ubisoft additional perks.
Maternity leaves of 20 weeks paternity/co-parental leaves of 7 weeks.
Our office is located in Saint Mandé (Metro line 1 Saint Mandé station). Gym available in the building.
Recruitment process
30 minutes : phone call with a Recruiter
60 minutes : video interview with the manager of the role and the Recruiter
60 minutes : final video interview with the Production Intelligence Data Associate Director
Information about Ubisoft
Ubisoft offers the same job opportunities to all without any distinction of gender ethnicity religion sexual orientation social status disability or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers community.
Check out this guide to help you with your application and learn about our actions to encourage more diversity and inclusion.
Check out this guide to help you with your application and learn about our actions to encourage more diversity and inclusion.
Remote Work :
No
Employment Type :
Full-time
Join the Ubisoft AI Initiatives team and architect the future of the information lifecycle at Ubisoft. From advanced hybrid search and RAG pipelines to complex agentic reasoning we are engineering the tools that turn raw information into high-velocity decision-making. If you want to push the boundar...
Join the Ubisoft AI Initiatives team and architect the future of the information lifecycle at Ubisoft. From advanced hybrid search and RAG pipelines to complex agentic reasoning we are engineering the tools that turn raw information into high-velocity decision-making. If you want to push the boundaries of how humans and AI collaborate to solve complex problems this is your arena.
We are seeking a highly skilled Machine Learning Engineer to design build evaluate and optimize AI models and intelligent systems that power these applications. You will work at the intersection of machine learning research large-scale data systems and production engineering transforming cutting-edge AI capabilities into robust scalable real-world solutions.
What youll do
- Design and Optimize AI Systems: Design fine-tune and optimize machine learning models including LLM-based retrieval and multimodal systems for production use.
- Build Intelligent Retrieval & Agentic Pipelines: Develop and improve RAG pipelines and agent-based workflows including embeddings vector search orchestration and evaluation.
- Extract Insights from Internal AI Usage: Leverage internal AI platform data (chat interactions prompts usage logs) to perform topic extraction clustering and trend analysis transforming usage patterns into actionable product insights.
- Productionize and Scale Models: Deploy monitor and optimize ML models in cloud-native environments ensuring scalability reliability and cost-efficiency.
- Evaluate and Improve Model Performance: Define evaluation frameworks run experiments and continuously improve model quality robustness and user impact.
- Collaborate Across Engineering and Product: Partner with software engineers SREs and product teams to integrate AI systems into scalable architectures and deliver high-impact solutions.
Qualifications :
We are seeking a strong ML practitioner with both deep technical expertise and production-oriented engineering mindset.
Must-Have Qualifications:
- Experience: Solid experience in machine learning engineering or applied AI with proven experience delivering ML systems in production.
- Programming & Frameworks: Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch TensorFlow JAX or equivalent.
- LLMs & Modern AI: Practical experience with Large Language Models embeddings transformer architectures and fine-tuning or prompt engineering techniques.
- RAG & Retrieval: Experience designing or implementing RAG pipelines including vector databases hybrid search and query optimization strategies.
- Model Deployment & Cloud: Experience deploying models via APIs using Docker and cloud platforms such as AWS GCP or Azure.
- Data & System Thinking: Solid understanding of data pipelines experimentation evaluation metrics and ML systems operating within distributed scalable architectures.
Nice-to-Have Qualifications:
- Experience building or integrating AI agents and multi-agent systems (e.g. LangGraph CrewAI Strands Agents).
- Familiarity with inference optimization techniques such as quantization distillation batching or caching.
- Experience working with multimodal models (text vision audio).
- Knowledge of MLOps best practices including model registries CI/CD for ML monitoring and drift detection.
- Experience operating AI workloads in cloud-native environments (e.g. Kubernetes serverless) and/or contributing to open-source or research initiatives.
Growth Opportunities
Joining our team as a Machine Learning Engineer in AI Initiatives offers the opportunity to:
- Build AI systems that directly impact creative workflows and decision-making across Ubisoft.
- Work on cutting-edge AI paradigms including agentic systems and multimodal reasoning.
- Influence the evolution of AI standards and best practices within a global organization.
- Grow toward senior technical leadership roles or specialized AI positions.
Additional Information :
Ubisofts perks
Profit Sharing yearly company saving plan. 25 paid time off 12 additional paid days off. 50% of your transportation pass is paid by the company lunch vouchers (9/day) healthcare for you and your family and lots of Ubisoft additional perks.
Maternity leaves of 20 weeks paternity/co-parental leaves of 7 weeks.
Our office is located in Saint Mandé (Metro line 1 Saint Mandé station). Gym available in the building.
Recruitment process
30 minutes : phone call with a Recruiter
60 minutes : video interview with the manager of the role and the Recruiter
60 minutes : final video interview with the Production Intelligence Data Associate Director
Information about Ubisoft
Ubisoft offers the same job opportunities to all without any distinction of gender ethnicity religion sexual orientation social status disability or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers community.
Check out this guide to help you with your application and learn about our actions to encourage more diversity and inclusion.
Check out this guide to help you with your application and learn about our actions to encourage more diversity and inclusion.
Remote Work :
No
Employment Type :
Full-time
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