Senior Machine Learning Research Engineer

Zendar is seeking a Senior Machine Learning Research Engineer to join their Berkeley office. The ideal candidate will design, implement, and drive the architecture of perception models that fuse streaming camera and radar to produce full perception outputs for real-world autonomy. The role involves building systems that work reliably in the messy long tail of the real world and requires close communication and collaboration with platform, embedded, and robotics teams.

Requirements

• Deep expertise in deep learning for perception, especially transformer-based architectures, temporal modeling, and multi-modal learning.
• Proficiency with Python and a major deep learning framework (e.g., PyTorch, TensorFlow)
• 5+ years (or having a PhD) experience designing and implementing ML systems, with demonstrated ownership of research/production outcomes.
• Demonstrated experience training large models from scratch (not only fine-tuning)
• Strong experience with multi-sensor fusion (camera/radar/lidar) and real-world sensor
• Strong understanding of the end-to-end perception stack and downstream needs (interfaces, uncertainty, temporal stability, failure modes).
• Ability to lead architectural discussions: articulate tradeoffs, quantify risks/benefits, and set realistic milestones and timelines.

Benefits

• Medical, dental, and vision insurance
• Flexible PTO
• Equity
• Performance based Bonus