Senior Machine Learning Engineer - End-to-End

Posted 23d ago

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Bachelor’s degree with 6+ years, Master’s with 4+ years, or PhD with 0–2 years of experience in Machine Learning, Robotics, Computer Science, or a related field
Track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
Experience developing and deploying ML models for autonomous systems, robotics, or complex decision-making environments
Strong programming skills in Python and PyTorch
Ability to write production-quality ML code
Experience training and evaluating models using large-scale datasets and distributed compute environments
Solid understanding of ML architectures used in E2E systems, such as Transformers, BEV models, VLA/VLM approaches, or diffusion models
Proven ability to debug model behavior, analyze performance metrics, and drive iterative improvements
Experience contributing to or influencing model architecture and training strategies
Ability to work cross-functionally and integrate ML systems into larger autonomy pipelines

Experience developing End-to-End or mid-to-end models for autonomous driving or robotics
Experience with vision-language models (VLMs) or vision-language-action (VLA) systems
Familiarity with closed-loop simulation and evaluation frameworks
Experience with reinforcement learning or imitation learning in real-world systems
Experience with distributed training frameworks (e.g., Ray)
Understanding of vehicle dynamics, motion planning, or multi-agent systems

Skills