ML Engineer II, Navigation

Job not on LinkedIn

🕒 March 3

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Diligent Robotics

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2017

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💰 $30M Series B on 2022-04

Healthcare Insurance • Artificial Intelligence • Robotics

Diligent Robotics is a company that pioneers in integrating robotics into healthcare settings to improve efficiency and patient care. Their flagship robot, Moxi, assists hospital staff by fetching medications, labs, and supplies, significantly reducing the time healthcare professionals spend on non-clinical tasks. Diligent Robotics focuses on enhancing clinical workflows, addressing staff shortages, and ensuring better patient experiences through their innovative robotic solutions.

📋 Description

• 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.

🎯 Requirements

• 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.