Diligent Robotics
ML Engineer II, Navigation
Vaga remota de Machine Learning Engineer com fit claro de localização do candidato.
Publicada5 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
ML Engineer II, Navigation
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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.
Basic Qualifications
- Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus).
- 5+ years of experience in ML for robotics and/or autonomous vehicles.
- Experience with Vision-Language-Action (VLA) models, behavior cloning, and/or transformer/diffusion policies for robotic control.
- Strong proficiency in PyTorch and experience with sequence models / policy learning.
- Experience with imitation learning and/or reinforcement learning in robotics or autonomy contexts.
Preferred Qualifications
- 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).
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