Senior Machine Learning Engineer at Unity in Mountain View, CA, USA

Job description

• At Unity, we’re shaping the future of real-time 3D development by enabling creators to harness intelligent, autonomous systems. Our next-generation agentic AI - goal-directed, adaptive, and capable of reasoning and planning in dynamic environments - is transforming how games and simulations come to life.
• We’re looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game agents and simulations. Your work will directly drive innovation, allowing developers and designers to integrate sophisticated AI behavior seamlessly into their worlds.
• This role is perfect for someone passionate about pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments.

Responsibilities

• * 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.

Requirements

• * 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.

Skills

Required

• Machine Learning
• Reinforcement Learning
• Fine-tuning
• Decision-making under uncertainty
• AI planning
• Multi-agent systems
• ML systems development in production
• Real-time or interactive environments

Benefits

• At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
• Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
• While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
• Base Salary Range: We determine the base salary range for this role based on your primary work location:
• Zone A: $188,200 - $244,600
• Zone B: $167,200 - $217,300
• Zone C: $148,700 - $193,300
• This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.