Senior Machine Learning Engineer (Computer Vision)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (Computer Vision): Developing and deploying deep learning models for camera-based perception in autonomous trucks with an accent on object detection, segmentation, and scene understanding. Focus on improving model robustness, designing scalable training pipelines, and integrating production-ready CV solutions into the autonomy stack.
Location: Must be based in the United States (Remote or Hybrid in Ann Arbor, MI or Blacksburg, VA)
Salary: $177,300 - $212,800 USD
Company
is a leader in autonomous driving focused on developing software for automated trucks as part of the Daimler family.
What you will do
- Design, develop, and deploy deep learning models for camera-based perception including object detection, segmentation, and depth estimation.
- Own end-to-end model development from data curation and training to evaluation and deployment.
- Write production-quality ML code to support scalable training, evaluation, and inference pipelines.
- Analyze model performance across diverse driving scenarios to identify failure modes and improve generalization.
- Collaborate with perception, simulation, and validation teams to integrate models into the autonomy stack.
- Mentor junior engineers on implementation, debugging, and best practices.
Requirements
- Bachelor’s degree with 6+ years experience, Master’s with 3+ years, or PhD with 1+ years in CS, Robotics, or related field.
- Experience developing and deploying deep learning models for computer vision or perception systems.
- Strong programming skills in Python and PyTorch.
- Experience training and evaluating models using large-scale datasets and distributed compute environments.
- Solid understanding of CNNs, transformers, and multi-task models.
- Must be based in the United States.
Nice to have
- Experience in autonomous driving, robotics, or simulation-based ML systems.
- Experience with multi-task learning or unified perception architectures.
- Knowledge of distributed training systems (e.g., Ray) or experiment management frameworks.
- Familiarity with camera calibration, geometric reasoning, or 3D perception (BEV, monocular depth).
Culture & Benefits
- 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.
- Company-wide holiday office closures.
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