DeepRec.ai · 4 weeks ago
Head of AI
DeepRec.ai is a company focused on building AI systems with general physical ability, aiming to enable AI systems to generate new knowledge through physical interaction. They are seeking a Head of AI to lead the design and execution of their intelligence stack, overseeing AI strategy, model development, and team leadership in a hands-on role.
Responsibilities
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
Large models for reasoning, planning, and tool use
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
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
Qualification
Required
10+ years of experience in AI/ML research or engineering with significant hands-on contributions
Deep expertise in one or more of: Reinforcement learning, 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)
Experience leading senior, highly technical teams
Ability to balance long-term vision with day-to-day technical execution
Comfortable operating in high-ambiguity, research-driven environments
Strong scientific intuition and commitment to empirical validation
Benefits
Plus Bonus & Equity