At Athenyx Robotics, we are building the intelligence stack for industrial humanoid robotics. We integrate robot learning, perception and simulation with direct access to real industrial use cases and deployment environments — because generalization only matters if it transfers to a shift on Tuesday morning.
This role owns the learning side of that stack: from pretraining to policy deployment.
The work
- —Develop and train learning-based control policies using imitation learning, reinforcement learning and behavior modeling approaches.
- —Design end-to-end and modular policy architectures for manipulation, handling and inspection tasks with emphasis on generalization.
- —Contribute to behavior and skill modeling, including abstraction, composition and policy conditioning.
- —Train and evaluate models in simulation environments and facilitate simulation-to-real-world transfer.
- —Collaborate with perception and robotics engineers to build integrated systems.
- —Support integration, testing and deployment on physical robotic systems in industrial environments.
About you
- —Bachelor's, Master's or PhD degree in robotics, computer science, machine learning or related field with strong robot-learning foundation.
- —Strong Python programming skills and experience with modern ML and robotics workflows.
- —Experience in reinforcement learning, imitation learning, policy learning, or emerging approaches like generalist policies or world modeling.
- —Interest in real-world robotic systems and commitment to full-stack implementation.
- —Willingness to work across multiple domains in a small team environment.
- —Experience with simulation environments and sim-to-real transfer.
- —Familiarity with perception pipelines (3D vision, pose estimation).
- —Experience with manipulation or contact-rich interaction.
- —Work on real robotic systems with direct industrial impact.
- —Collaboration with industry partners and access to real-world use cases and data.
- —High ownership and responsibility in a small, execution-focused team.
- —Flexible working hours and open, collaborative culture.
- —Opportunity to shape AI-driven robotics systems from inception.
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