AI role · Open offer
Senior ML Engineer — game AI
Ubisoft
- Full-time
- Senior
- Game AI
- Hybrid
- 5505 Boulevard Saint-Laurent, Montreal, QC H2T 1S6, Canada · Hybrid
- Montreal, Canada
- CAD 105k–140k/year + bonus
At a glance
How you'll work, where, and key listing dates.
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- 5505 Boulevard Saint-Laurent, Montreal, QC H2T 1S6, Canada · Hybrid
- Compensation
- CAD 105k–140k/year + bonus
- Experience level
- Senior
- Team
- Game AI
- Benefits & perks
About this role
What the team is looking for and how this position fits.
Ubisoft is hiring a Senior Senior ML Engineer — game AI on the Game AI team (Hybrid · Montreal, Canada). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Ubisoft Montreal is a global hub for game development and interactive entertainment.
Build ML for NPCs, procedural content, or player experience in AAA titles.
What you will do
- Ship production game AI and player modeling with offline evals, monitoring, and safe rollout.
- Work with product and domain experts on requirements and trade-offs.
- Improve data pipelines, labeling, and metrics tied to business KPIs.
- Document runbooks for on-call and customer-facing teams.
What we look for
- Strong Python and modern ML/LLM stack with shipped features.
- SQL, experimentation, and clear communication to stakeholders.
- Eligible to work in the listed country; professional English required.
Skills we're hiring for
What each capability means for this role—not a keyword checklist.
- Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
- PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
- C++
Tools & stack
Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).
- UnrealTool
Regular use of Unreal in the LLM & generative AI stack—configuration, debugging, and team conventions.
You're a strong fit if…
Tailored to this listing—use it as a self-check before you apply.
- ✓You can show evidence in your application: NPC, procedural, or player modeling with shipped title reference.
- ✓Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, C++, and Unreal.
- ✓You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
- ✓You are comfortable with the hybrid rhythm (Hybrid · Montreal, Canada)—onsite collaboration when it matters, deep work when remote.
- ✓You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
- ✓You read the full listing (comp: CAD 105k–140k/year + bonus, benefits in At a glance) and your expectations align.
Apply
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What the employer asked for
NPC, procedural, or player modeling with shipped title reference.
Sign in with a candidate account to apply
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