Sr Machine Learning Engineer- Computer Vision
United States of America
Full Time
2 weeks ago
$112,000 - $186,000 USD
Visa Sponsor
Key skills
C++CAIMachine LearningMLComputer VisionAgenticNumPyOpenCViOSAndroidCommunicationCollaboration
About this role
Cox Automotive operates Manheim, the largest wholesale vehicle auction network in the US, and they are seeking a Senior Machine Learning Engineer to join their team. The role involves building computer vision models for vehicle damage detection, classification, and segmentation that will run in production on mobile devices and auction sites across the country.
Responsibilities:
- Design, train and ship damage detection and segmentation models from dataset curation through deployment
- Contribute to technical direction on model architecture, including CNNs & transformers
- Leverage LLMs, VLMs & agentic workflows to streamline dataset mining & collection
- Partner with our annotation teams to build the datasets that make these models work
- Deploy models to production on server & mobile in collaboration with other teams
- Help set the technical bar for the team’s code, experiments, and reproducibility
- Occasional travel to attend meetings, conferences or production facilities may be required
Requirements:
- One of the following: Bachelors with 4+ years of relevant industry experience or, MS with 2+ years or, PhD with 1+ year or, 16 years of industry experience with no degree. Degrees should be in CS, Engineering, Mathematics, or a related field
- Minimum 2 years of experience in machine learning with a focus in Computer Vision
- Proven ML model development experience in detection, segmentation, and/or classification
- Clear technical communication. You will be explaining trade-offs to product, engineering, and business stakeholders regularly
- Comfort across the full stack of an ML system, including data, training & evaluation
- Strong hands-on experience with OpenCV & NumPy for image processing and data preparation using classical CV algorithms
- C++ for performance-critical paths
- Mobile deployment experience for Android and/or iOS
- Multi-view geometry, Structure-from-Motion, or 3D reconstruction background
- Machine vision camera and hardware experience
- Familiarity with AI coding assistants, including their benefits and pitfalls