Head of AI

Job Title: Head of AI
Location: Boston or San Francisco (Hybrid, ~3 days/week in office; relocation support available)
Employment Type: Full-time
Compensation: $400K base + 3–5% Equity

Job Description:
We are seeking a Head of AI to lead and scale a cutting-edge AI research function focused on scientific discovery. This is a hands-on leadership role (~60% technical, 40% leadership) where you will define the AI strategy, build advanced models, and lead a high-performing team at the intersection of AI and complex simulation environments.

You will work on frontier applications including foundation models, reinforcement learning systems, and agent-based architectures designed to reason, simulate, and generate new scientific insights.

Key Responsibilities:

• Define and execute the AI research roadmap (foundation models, RL, agentic systems)
• Architect and develop advanced AI systems and training methodologies
• Build scalable training infrastructure and evaluation frameworks
• Recruit, mentor, and lead a world-class AI research and engineering team
• Establish best practices for experimentation, collaboration, and code quality
• Guide technical decision-making and long-term AI strategy
• Collaborate closely with cross-functional teams to align on goals and delivery
• Represent AI initiatives to select external stakeholders when needed

Requirements:

• Experience at leading AI research organizations or labs, with ownership of major AI/ML projects
• Deep expertise in modern machine learning (foundation models, RL, large-scale training)
• Strong experience with distributed systems and multi-GPU training environments
• Proven track record of building and leading high-performing teams
• Ability to translate ambitious research goals into executable roadmaps
• Strong foundation in physics, mathematics, or related scientific domains
• Excellent communication and leadership skills

Nice to Have:

• Experience in scientific machine learning or simulation-based modeling
• Work integrating AI models with complex simulation environments
• Familiarity with AI safety, governance, or regulatory considerations

Ideal Candidate:

• Senior AI leader or researcher with experience shipping large-scale models or systems
• Background bridging AI with scientific or physics-based domains
• Builder mindset with strong ownership and desire to scale an AI organization

Benefits:

• Competitive benefits package
• Relocation support available