9 дней назад
Staff Machine Learning Engineer (Autonomous Driving)
215 500 - 258 600$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (Autonomous Driving): Developing BEV and multi-modal perception models that unify camera, LiDAR, radar, and HD map data for autonomous trucks with an accent on 3D scene understanding, large-scale training, and robust spatial representations. Focus on designing foundational perception architectures, improving performance in long-tail driving conditions, and establishing evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer.
Location: Remote in the United States or hybrid in Ann Arbor, Michigan
Salary: $215,500–$258,600 USD annually, plus bonus and stock options
Company
develops software for automated trucks and autonomous driving systems as part of the Daimler family.
What you will do
- Lead the technical roadmap and development of BEV perception models for detection, segmentation, road topology, and scene understanding.
- Design multi-modal architectures that fuse camera, LiDAR, radar, and HD map data into unified spatial representations.
- Develop foundational perception models using BEV transformers, voxel-based encoders, and implicit scene representations.
- Own large-scale data sampling, augmentation, distributed training, and hyperparameter optimization workflows.
- Improve robustness and generalization in low-visibility, occluded, and rare driving scenarios.
- Build evaluation frameworks and collaborate with calibration, mapping, and fusion teams while mentoring ML engineers.
Requirements
- 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems.
- Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.
- Expertise in BEV modeling, 3D scene understanding, multi-view fusion, and camera-LiDAR sensor integration.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience with large-scale data pipelines, distributed training, experiment management, and ML model innovation.
- Demonstrated technical leadership and experience mentoring engineering teams.
Nice to have
- Production experience in autonomous driving or robotics perception.
- Experience with MLOps and Ray.
- Experience with 3D labeling, calibration, sensor simulation, or spatial-temporal modeling.
- Publications or open-source contributions in venues such as CVPR, ICCV, NeurIPS, ICRA, or CoRL.
- Understanding of latency, memory, accuracy, and other deployment tradeoffs.
Culture & Benefits
- Collaborative, energetic, and team-focused work environment.
- 100% company-paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible scheduling, generous paid vacation available immediately after starting, and company-wide holiday office closures.
- AD&D and life insurance.
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