Job Description

Job Type

Full-time

About the Company

We're working with a high-growth startup developing AI systems that allow industrial robots to perform tasks they currently cannot, starting with complex warehouse operations like mixed palletizing. Their technology combines deep reinforcement learning (DRL) with modern sequence modeling to tackle control and combinatorial optimization problems where classical approaches fail.

They are a small, highly skilled team. Joining us means having direct impact, minimal bureaucracy, and ownership over core technology that will be deployed in real-world, high-throughput environments.

Responsibilities
  • Own the end-to-end reinforcement learning stack: from problem formulation to algorithm design, large-scale training, evaluation, and deployment.
  • PPO, SAC, DDQN and variants incorporating advanced architectures such as encoders, cross-attention, and pointer networks.
  • Set up and manage large-scale ...

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