At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future.
As the Head of AI Engineering, you'll own their AI research agenda, leading the design of foundation-model and reinforcement-learning systems that reason about simulations, generate hypotheses, and verify new scientific discoveries.
This is the rare seat where the science is the product, and the models you build are the instruments of discovery.
If you want to train frontier-grade models for scientific discovery, work at the seam of physics, AI, and large-scale simulation, and assemble a world-class team in a mission-driven, early-stage environment — this is the one.
What You'll Do:
- Set and drive the AI research roadmap across foundation models, reinforcement learning, and agentic systems for scientific discovery.
- Contribute directly to core research — architect models, design training schemes, and prototype new agent behaviors alongside physicists and engineers.
- Recruit, hire, and manage AI researchers and engineers, building a high-bar, collaborative research culture.
- Be the internal thought leader on AI — guiding technical trade-offs, priorities, and long-term architecture decisions.
You may be a good fit if:
- You bring deep expertise in modern ML: foundation-model pretraining, RL (PPO/SAC-style methods, self-play, or similar), large-scale optimization, and distributed training across multi-GPU/multi-node systems.
- You've managed and grown small, high-performing research or engineering teams — even if you were never formally titled "Head of AI."
- You can set research direction, decompose ambitious goals into executable projects, and hold a high bar on both technical and communication standards.