Senior/Staff Machine Learning Engineer (Motion Planning)

Join our team as a Senior/Staff Machine Learning Engineer specializing in Motion Planning for autonomous vehicles. You will develop state-of-the-art machine learning models, design and implement model architectures, and own the end-to-end machine learning lifecycle. You will collaborate closely with various teams to deploy scalable machine learning solutions into production and ensure compliance with quality management standards.

Responsibilities

• Enjoy benefits such as unlimited PTO, flexible working arrangements, health benefits, equity options, professional development opportunities, and daily catered lunches.
• Développer des modèles d'apprentissage automatique de pointe pour la planification des véhicules autonomes en utilisant des données de capteurs.
• Concevoir et mettre en œuvre des architectures de modèles pour la génération de trajectoires, la planification du comportement et la prise de décision.
• Posséder le cycle de vie complet de l'apprentissage automatique, y compris la curation des données, l'ingénierie des fonctionnalités, l'expérimentation, la formation, l'évaluation, le déploiement.
• Strong ownership mindset with the ability to drive problems from investigation through implementation, validation, and deployment
• Experience designing datasets, experiments, validation methodologies, and metric-driven model evaluation
• Experience designing validation methodologies, automated testing, and monitoring to ensure correctness, safety, and production reliability
• Excellent debugging and analytical problem-solving skills, with the ability to investigate complex issues across datasets, model behavior, and production systems
• Strong Python programming skills and experience with modern deep learning frameworks such as PyTorch
• Experience analyzing edge cases, tracing failures to their root cause, and improving model robustness through systematic experimentation

Requirements

• 4+ years of experience developing machine learning systems for robotics, autonomous driving, or other real-time decision-making systems
• Strong software engineering skills with experience developing and maintaining production-quality software
• Excellent communication skills and experience collaborating across cross-functional engineering teams
• Strong understanding of deep learning, sequence modeling, transformers, diffusion models, or other modern ML architectures
• BS, MS, or PhD in Computer Science, Robotics, Machine Learning, or a related field
• Experience with planning, prediction, motion forecasting, or trajectory generation
• Working knowledge of modern C++ and production software development

Experience leading technical direction for large ML projects

• Strong intuition for balancing model quality, robustness, latency, and deployment constraints
• Demonstrated ability to solve ambiguous, cross-functional engineering problems involving machine learning, software systems, and autonomous driving

Preferred

• Experience deploying machine learning models into production environments
• Experience with TensorRT, ONNX Runtime, CUDA, or ML inference optimization
• Experience with large-scale distributed training or cloud-based ML infrastructure
• Publications or open-source contributions in machine learning, robotics, or autonomous driving
• Candidates who stand out typically have one or more of the following:
• Deep expertise in autonomous vehicle planning or motion prediction
• Experience developing production ML systems for safety-critical applications

Pay

USD 130,000 - 220,000