Staff, ML Engineer - Road & Lane Detection
Torc Robotics14 days ago
Base Salary
$220k - $330k/yr
Responsibilities
- Own the model roadmap for Road & Lane Detection from concept to production.
- Research, design, and train advanced neural architectures for road structure detection.
- Lead data strategy, defining curation and labeling policies.
- Develop metrics and evaluation frameworks for road geometry accuracy.
- Advance foundational capabilities like self-supervised pretraining.
- Drive large-scale experiments to identify scalable improvements.
- Collaborate with other teams to ensure model coherence.
- Mentor engineers and set best practices for model training.
Requirements
- 10+ years of experience in developing deep learning models for perception or computer vision.
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field.
- Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation.
- Strong understanding of lane and road geometry modeling and sensor projection.
- Proficiency with Python and modern ML frameworks like PyTorch.
- Experience with distributed training pipelines and large-scale dataset handling.
- Proven leadership in guiding technical roadmaps and mentoring engineers.
Benefits
- A competitive compensation package including a bonus component and stock options.
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401K plan with a 6% employer match.
- Flexibility in schedule and generous paid vacation available immediately.
- AD+D and Life Insurance.