Full-stack Engineer

• Provide technical leadership in developing, training, and validating reinforcement learning (RL) and/or imitation learning (IL) algorithms for embodied agents in realistic simulated environments, using both synthetic and user data.
• Apply the appropriate approach based on context—RL, IL, classical control, or planning methods—with a focus on product value.
• Collaborate with domain experts and engineers to design effective training tasks and optimization objectives.
• Contribute to integrating AI capabilities into CM Labs’ training products and the Vortex platform.
• Stay current with advances in RL and embodied AI, and clearly document experiments, models, and results.
• Share knowledge and mentor team members on machine learning best practices.

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