Rol IA · Oferta abierta
Senior ML Engineer — game AI
Ubisoft
- Tiempo completo
- Senior
- Game AI
- Hybrid
- 5505 Boulevard Saint-Laurent, Montreal, QC H2T 1S6, Canada · Hybrid
- Montreal, Canada
- CAD 105k–140k/year + bonus
De un vistazo
Cómo trabajarás, dónde y fechas clave del anuncio.
- Empleo
- Tiempo completo
- Modalidad
- Hybrid
- Ubicación
- 5505 Boulevard Saint-Laurent, Montreal, QC H2T 1S6, Canada · Hybrid
- Compensación
- CAD 105k–140k/year + bonus
- Nivel de experiencia
- Senior
- Equipo
- Game AI
- Beneficios
Sobre el rol
Qué busca el equipo y cómo encaja el puesto.
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.
Habilidades que buscamos
Qué implica cada capacidad en este rol — no solo una lista de palabras clave.
- 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++
Herramientas y stack
Plataformas y productos mencionados para este rol (APIs, IDEs, BBDD vectoriales, CRM, diseño, etc.).
- UnrealTool
Regular use of Unreal in the LLM & generative AI stack—configuration, debugging, and team conventions.
Encajas muy bien si…
Adaptado a esta oferta — úsalo para comprobar tu encaje antes de aplicar.
- ✓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.
Aplicar
Solo cuentas candidato: añade tu titular y bio en , y opcionalmente un enlace o PDF de CV para que los reclutadores vean tu CV completo. Luego escribe un breve pitch — las candidaturas usan el correo de tu cuenta.
Lo que pide la empresa
NPC, procedural, or player modeling with shipped title reference.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte
Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
Aún no hay coincidencias cercanas en el directorio — prueba con tus filtros.
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