Top Tech Jobs & Startup Jobs in Montreal

Design and maintain high-fidelity 2D/3D simulation environments, engineer reward functions, implement and optimize RL algorithms (PPO, SAC, Offline RL), coordinate cross-functionally, and develop sim-to-real strategies (domain randomization/adaptation) to ensure autonomous agents perform reliably in real-world multi-sensor settings.

Support creation, tracking, and delivery of game assets by building schedules, tracking progress and dependencies, coordinating priorities across disciplines, facilitating reviews and approvals, maintaining production tools, and escalating risks to production leadership to ensure milestone readiness.

Lead pillar-level delivery for a large-scale AAA game project by translating priorities into sprint plans, facilitating Scrum/Kanban rituals, managing dependencies and risks, keeping backlogs actionable, supporting cross-pod communication, improving workflows, and reinforcing a collaborative, accountable team culture to ensure milestone-driven production.

Lead and scale asset production pipelines for a large AAA game, managing Associate Producers, vendors, and co-development partners. Define workflows for intake, tracking, review, approval, integration and delivery; ensure visibility across priorities, dependencies, risks and milestones; maintain asset tracking systems (e.g., Jira); coordinate cross-discipline stakeholders; produce delivery reports and support milestone readiness and quality gates.

Design high-level systems that integrate ML models into production, enable ML–rendering engine interaction, build language-agnostic APIs/wrappers and microservices, evaluate build-vs-buy options, coordinate cross-functional integration requirements, and decompose product vision into scalable ML-enabled architecture.

Source, aggregate, and manage geospatial datasets (imagery, rasters, vectors, point clouds) and build automated tooling (GDAL, Python, in-house tools) to preprocess and postprocess data for AI/ML pipelines while partnering with AI/ML, pipeline, and product teams.

Source, aggregate, and manage geospatial datasets (imagery, raster, vector, point clouds) for AI/ML use. Build and maintain automated preprocessing and postprocessing tools (using open-source libraries like GDAL/PROJ and Python). Partner with AI/ML, Pipeline, Product teams, and leadership to ensure data coverage, quality, and readiness for model development and deployment.

Design, build, and own scalable MLOps infrastructure for large 2D/3D multimodal datasets. Automate CI/CD and continuous training pipelines, implement dataset versioning and storage strategies, and deploy monitoring/observability systems to track model performance and data drift across production ML systems. Collaborate with ML, annotation teams, and TPMs to define requirements.

Serve as the primary HR partner for a Canadian (Quebec-focused) workforce: advise leaders on employee and labor relations, workforce planning, hiring strategies, immigration support, compliance with Quebec and federal employment and privacy laws, administer leaves and health & safety programs, manage employee relations and change management, and align HR processes with US teams while ensuring bilingual (EN/FR) communications.

Manage day-to-day Montreal office operations and employee experience programs: vendor and facilities coordination, supplies and inventory, event and meeting logistics, onboarding support, front-desk hospitality, workplace safety initiatives, and general administrative support for leadership.