Ubisoft

Oct 27, 2026

Machine Learning Programmer

Canada

Montreal, Quebec, Canada

PythonAWS

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Company Description

Ubisoft is a global leader in video games, with teams spread across the globe creating original and memorable gaming experiences, from Assassin's Creed to Rainbow Six, Just Dance, and many more. We believe that diverse perspectives help both players and teams grow.

If you are passionate about innovation and want to push the boundaries of entertainment, join our adventure and help us create the unknown!

Job Description

DocGPT is Ubisoft's internal knowledge assistant platform, presented this year at the Games Developer Conference (GDC) 2026 and deployed at scale across studios and divisions. Based on a RAG architecture, it allows thousands of employees to find relevant information directly from their daily tools.

Additional Information

About us

Ubisoft teams consist of 20 000 people spread across more than 30 countries around the world and are linked by a common mission: to enrich the lives of players through original and memorable gaming experiences. Their energy and talent have brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come.

Ubisoft is an equal opportunity employer and believes that diversity of backgrounds and perspectives is essential to creating worlds that allow everyone to thrive and express themselves.

Working at Ubi MTL means enjoying a work environment that awakens creativity and fosters connection. We offer a collaborative space focused on professional advancement, learning opportunities, and well-being (our significant benefits reflect this!).

If you are excited about taking on exciting challenges, leveraging the latest technologies, and taking part in the future of entertainment, join us to create the unknown.

At Ubisoft, you are welcome as you are. We embrace diversity in all its forms. We are committed to fostering an inclusive and respectful work environment for all differences.

You will take on the technical leadership of the AI components of DocGPT: as the point of contact for information retrieval and LLM integration issues, you will define the direction, support the team, and translate sometimes ambiguous requirements into robust solutions.

What you will do

Define and lead the technical direction of retrieval pipelines: chunking, semantic indexing, vector search, and reranking.

Establish platform evaluation standards and make response quality a top-tier metric in the development cycle.

Define the LLM integration approach in a multi-tenant context: context management, prompt engineering, cost control, and evolution toward agentic capabilities.

Proactively identify the limits of the current architecture and propose improvements before they impact users.

Mentor junior and intermediate members on ML best practices and experimental rigor.

Be the trusted point of contact for client teams and stakeholders on AI topics.

Qualifications

What you will bring to the team

5+ years of experience in applied ML on information retrieval or NLP systems in production.

Proficiency in Python and ML/NLP frameworks: LangChain, LlamaIndex, HuggingFace Transformers.

Proven experience with RAG architectures: embedding models (OpenAI, Cohere, BGE), vector databases (Qdrant, pgvector, Weaviate, Pinecone), and reranking (cross-encoders).

Proficiency with API LLM (Claude, OpenAI GPT) and advanced prompt engineering techniques (few-shot, chain-of-thought, structured outputs).

Experience with RAG evaluation frameworks: RAGAS, MRR/NDCG metrics, and building evaluation datasets.

Knowledge of AWS cloud environments and Databricks (MLflow, Feature Store) and containerized environments.

Demonstrated technical leadership and comfort with ambiguity; excellent communication skills.

Contract: Permanent

Work flexibility: Office-based

Languages

Machine Learning Programmer

Company Description

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