Senior Machine Learning Engineer

ironSource; Montreal (administrative region); On-site; CAD 136,000 - 221,000; Full time

Benefits offered by this job

Equity grants

Annual discretionary bonus

Job summary

ironSource is seeking a senior ML/AI engineer to design, implement, and scale AI agent systems in Unity, enabling goal-directed behavior, task planning, and environment-aware decision making for real‑time gameplay experiences.

You will develop reusable agentic frameworks and integrate ML models within strict latency constraints, collaborating across teams to push Unity's agentic AI offerings and mentor other engineers and researchers.

Qualifications

• Advanced degree in CS/ML/Robotics or equivalent practical experience.
• 5+ years of hands-on experience developing ML systems for real-time environments.
• Strong background in reinforcement learning, AI planning, or multi-agent systems.

Responsibilities

• Design, implement, and scale AI agent systems in Unity for goal-directed behavior.
• Develop reusable agentic frameworks and memory/policy modules for creators.
• Integrate ML models within real-time constraints to optimize latency and determinism.
• Lead high-impact initiatives in hierarchical RL, planning, and world modeling.
• Collaborate across teams to unlock innovative use cases in gaming and simulations.
• Contribute to the long-term vision and roadmap for Unity's agentic AI offerings.
• Establish best practices for model quality, evaluation, and AI safety.
• Mentor engineers and researchers to foster technical excellence.

Skills

Reinforcement learning

Decision-making under uncertainty

AI planning

Multi-agent systems

Education

MS/PhD in Computer Science, ML, Robotics or related field

Job description

What you'll be doing

• Design, implement, and scale AI agent systems in Unity environments that enable goal‑directed behavior, task planning and execution, and environment‑aware decision‑making.
• Develop reusable agentic frameworks - such as planning modules, memory systems or policy adaptation layers - that creators can extend in their own projects.
• Develop AI models for the Unity AI agentic system. The AI models perform various tasks for building Unity games.
• Integrate Machine Learning models seamlessly within real‑time game engine constraints, optimizing for latency, compute, and determinism.
• Lead high‑impact initiatives, including hierarchical reinforcement learning for scalable behaviors, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modeling systems for persistent, believable behavior.
• Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.
• Contribute to the long‑term vision and roadmap for Unity’s agentic AI offerings, ensuring modularity, usability, and performance across platforms.
• Establish and champion best practices for model quality, simulation‑based evaluation, and ML/AI safety within real‑time systems.
• Mentor engineers and researchers while cultivating a technical culture of innovation, excellence, and collaboration.

What we're looking for

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Robotics, or a related field—or equivalent practical experience.
• 5+ years of hands‑on experience developing ML systems in production, ideally within real‑time or interactive environments.
• Strong background in one or more of the following: reinforcement learning, fine‑tuning, decision‑making under uncertainty, AI planning, or multi‑agent systems.

Base Salary Range: We determine the base salary range for this role based on your primary work location:

Zone A: CA$136,100 - CA$204,100 CAD gross

Zone B: CA$147,000 - CA$220,600 CAD gross

Cette fourchette correspond au salaire de base prévu pour ce poste. En plus du salaire de base, ce poste peut donner droit à des attributions d’actions et à une participation à nos programmes d’incitation de l’entreprise, comme des primes annuelles discrétionnaires