[Remote] ML Engineer II, Navigation
Note: The job is a remote job and is open to candidates in USA. Diligent Robotics is focused on developing artificial intelligence that enables service robots to work alongside humans in dynamic environments. As an ML Engineer II (Navigation), you will create learning-based navigation models to enhance robot movement and interaction in healthcare settings. This role involves training policies with fleet data and refining behaviors through simulation and reinforcement learning.
Responsibilities
• Develop learning-based navigation models that predict safe, smooth trajectories from sensor inputs and/or perception representations
• Build imitation learning pipelines from fleet logs (trajectory extraction, filtering, scenario balancing, evaluation)
• Implement simulation-based refinement (RL, reward shaping, domain randomization) to improve robustness
• Define navigation success metrics aligned to product outcomes
• Collaborate with the AI Platform team to integrate learned policies behavior/safety systems and validate on-robot
• Build regression tests and scenario replay suites for challenging scenarios
• Analyze field behavior, identify failure modes, and close the loop through data curation and retraining
Skills
• Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus)
• 3+ years of experience in ML for robotics, autonomy, or sequential decision-making
• Strong proficiency in PyTorch and experience with sequence models / policy learning
• Experience with imitation learning and/or reinforcement learning in robotics or autonomy contexts
• Experience with socially-aware navigation, dynamic obstacle avoidance
• Experience with RL at scale (simulation rollouts, distributed training, stability/debugging)
• Familiarity with ROS navigation stacks and safety constraints for mobile robots
• Experience building eval harnesses (offline replay, scenario libraries)
• Experience with Vision-Language-Action (VLA) models, behavior cloning, and/or transformer/diffusion policies for robotic control
Company Overview
• Diligent Robotics develops AI-powered robot assistants to collaborate with and adapt to humans in everyday environments. It was founded in 2016, and is headquartered in Austin, Texas, USA, with a workforce of 201-500 employees. Its website is http://diligentrobots.com.
Company H1B Sponsorship
• Diligent Robotics has a track record of offering H1B sponsorships, with 5 in 2025, 3 in 2024, 5 in 2023, 3 in 2022. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now
Responsibilities
• Develop learning-based navigation models that predict safe, smooth trajectories from sensor inputs and/or perception representations
• Build imitation learning pipelines from fleet logs (trajectory extraction, filtering, scenario balancing, evaluation)
• Implement simulation-based refinement (RL, reward shaping, domain randomization) to improve robustness
• Define navigation success metrics aligned to product outcomes
• Collaborate with the AI Platform team to integrate learned policies behavior/safety systems and validate on-robot
• Build regression tests and scenario replay suites for challenging scenarios
• Analyze field behavior, identify failure modes, and close the loop through data curation and retraining
Skills
• Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus)
• 3+ years of experience in ML for robotics, autonomy, or sequential decision-making
• Strong proficiency in PyTorch and experience with sequence models / policy learning
• Experience with imitation learning and/or reinforcement learning in robotics or autonomy contexts
• Experience with socially-aware navigation, dynamic obstacle avoidance
• Experience with RL at scale (simulation rollouts, distributed training, stability/debugging)
• Familiarity with ROS navigation stacks and safety constraints for mobile robots
• Experience building eval harnesses (offline replay, scenario libraries)
• Experience with Vision-Language-Action (VLA) models, behavior cloning, and/or transformer/diffusion policies for robotic control
Company Overview
• Diligent Robotics develops AI-powered robot assistants to collaborate with and adapt to humans in everyday environments. It was founded in 2016, and is headquartered in Austin, Texas, USA, with a workforce of 201-500 employees. Its website is http://diligentrobots.com.
Company H1B Sponsorship
• Diligent Robotics has a track record of offering H1B sponsorships, with 5 in 2025, 3 in 2024, 5 in 2023, 3 in 2022. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now