Deep Reinforcement Learning Engineer (Principal)

Friday Systems builds AI that allows industrial robots to adapt to dynamic warehouse environments. We focus on high-throughput palletizing and related tasks where classical approaches break down. Our stack is built around Deep Reinforcement Learning with modern sequence models.

Tiny team, zero bureaucracy, direct impact, salary + equity.

THE ROLE

Own the DRL stack end-to-end : formulation → algorithm design → large-scale training → evaluation → deployment. You'll work directly with the CTO to turn cutting-edge DRL into production throughput at customer sites.

YOU WILL

• Design & ship DRL algorithms (PPO / SAC / DDQN and variants, based on encoders / cross-attention / pointer networks) for complex control & combinatorial optimization.
• Tackle stability & sample-efficiency : GAE, normalization, entropy / KL control, distributional / value-loss tuning, curriculum learning and reward shaping, ...
• Launch multi-GPU training, parallel rollouts, efficient replay / storage, and reproducible experiment tooling.
• Productionize : clean PyTorch code, profiling, Dockerized services (FastAPI), AWS deployments, experiment tracking, dashboards.
• Collaborate with the C-Level Team to ensure product excellence and alignment with business strategy. Forge strong relationships with clients, effectively translating their needs into unique technology solutions.
• Build and nurture a high-performing team by attracting top talent. Provide mentorship and leadership to foster a culture of quality and innovation.

YOU HAVE

We are not considering entry-level or coursework-only profiles for this role.

HIRING PROCESS