Head of AI

DeepRec.ai; San Francisco (CA); On-site; USD 350,000 - 450,000; Full time

Job summary

A leading AI technology company in San Francisco is seeking a Head of AI to drive their intelligence stack across autonomous agents and learning systems. The role entails defining AI strategy, leading a team of senior researchers, and ensuring deployments in real-world settings. The ideal candidate will possess over 10 years of experience in AI/ML with proven hands-on contribution and expertise in deploying AI systems. This full-time position offers a competitive salary range and a chance to shape next-generation AI systems.

Qualifications

• 10+ years of experience in AI/ML research or engineering with significant hands-on contributions.
• Deep expertise in deploying AI in real-world environments.
• Strong proficiency in Python and modern ML frameworks.

Responsibilities

• Own the end-to-end AI vision and roadmap, from foundational models to deployed autonomous systems.
• Define system architectures integrating reinforcement learning and perception.
• Lead development of autonomous agents for physical experiments.

Skills

Leadership

Python

Machine Learning frameworks

Data analysis

Tools

PyTorch

Large language models

Job description

Head of AI

Type: Full-time

Base Salary: $350,000 - $450,000 (Plus Bonus & Equity)

Base Pay Range: $350,000.00/yr - $450,000.00/yr

About the Role: Work with a company who are building AI systems with general physical ability — systems that do not merely analyze data, but actively explore, experiment, and engineer in the real world. The work spans robotics, machine learning, autonomous experimentation, and applied science, with a focus on enabling AI systems to generate new knowledge through physical interaction.

We are seeking a Head of AI to lead the design and execution of our intelligence stack across autonomous agents, learning systems, and real‑world deployment. This is a senior, hands‑on leadership role for someone who can define long‑term AI strategy while remaining deeply involved in technical decision‑making.

What You’ll Do:

• Own the end‑to‑end AI vision and roadmap, from foundational models to deployed autonomous systems.
• Define system architectures that integrate reinforcement learning, large models, perception, simulation, and physical feedback loops.
• Establish best practices for learning in data‑scarce, high‑cost, real‑world environments.
• Lead development of reinforcement learning systems for long‑horizon planning and control.
• Lead development of large models for reasoning, planning, and tool use.
• Lead development of autonomous agents capable of designing and executing physical experiments.
• Drive simulation‑to‑real transfer and ensure robustness in physical deployment.
• Partner closely with robotics, hardware, firmware, and manufacturing teams to tightly couple AI with physical systems.
• Build, mentor, and manage a team of senior AI researchers and engineers.
• Set a high technical bar while fostering a culture of rigorous experimentation and fast iteration.
• Translate ambiguous research goals into executable engineering plans.

Applied Impact:

• Enable autonomous discovery across complex scientific and engineering domains.
• Ensure AI systems scale reliably and safely in real‑world operational settings.
• Represent the AI organization internally and externally as a technical leader.

Who You Are:

You are a deeply technical leader who enjoys working at the intersection of AI, robotics, and the physical sciences, and who is motivated by problems that do not have clean abstractions or easy datasets.

Required Experience:

• 10+ years of experience in AI/ML research or engineering with significant hands‑on contributions.
• Deep expertise in one or more of: large language or foundation models; autonomous or robotic systems; proven experience deploying AI systems in real‑world, non‑simulated environments.
• Strong proficiency in Python and modern ML frameworks (e.g., PyTorch).

Leadership & Approach:

• Experience leading senior, highly technical teams.
• Ability to balance long‑term vision with day‑to‑day technical execution.
• Strong scientific intuition and commitment to empirical validation.

Why This Role:

• Build foundational AI systems that interact with and learn from the physical world.
• Shape the direction of autonomous experimentation and discovery.
• Work alongside a deeply interdisciplinary team tackling consequential real‑world problems.
• Influence the architecture and culture of a next‑generation AI organization.

Seniority level

Director

Employment type

Full‑time

Job function

Information Technology

Industries

Technology, Information and Media