Staff, ML Engineer - BEV
Torc Robotics14 days ago
Base Salary
$220k - $330k/yr
Responsibilities
- Lead BEV model development and define the technical roadmap for perception models.
- Design advanced multi-modal architectures that fuse heterogeneous sensor data.
- Develop foundational perception models leveraging BEV transformers and voxel-based encoders.
- Own large-scale training workflows, including data sampling and hyperparameter optimization.
- Advance model robustness and generalization for challenging driving conditions.
- Establish evaluation frameworks for model performance.
- Collaborate with sensor calibration and mapping teams.
- Mentor and guide ML engineers in best practices.
- Stay updated on ML research and explore new methodologies.
Requirements
- 10+ years of experience in deep learning for perception and autonomous systems.
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field.
- Proven expertise in BEV modeling and multi-view fusion.
- Strong background in multi-modal sensor fusion, particularly with camera and LiDAR.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Experience with large-scale data pipelines and distributed training.
- Demonstrated leadership in ML model innovation and mentoring.
Benefits
- Competitive compensation package with bonus and stock options.
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401K plan with a 6% employer match.
- Flexible schedule and generous paid vacation.
- Company-wide holiday office closures.
- AD+D and Life Insurance.