Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
About the role
- Senior Machine Learning Engineer at Cox Automotive specializing in Computer Vision for vehicle damage detection. Leading projects utilizing large datasets from Manheim auctions to advance machine learning accuracy.
Responsibilities
- Lead the design, implementation, and optimization of computer vision algorithms for automated damage analysis.
- Develop, test and refine deep learning models such as CNNs & transformers for damage detection, classification and segmentation.
- Develop & curate datasets leveraging Cox Automotive’s annotation partners and massive catalog of vehicle imagery and condition reports.
- Collaborate with data engineers and software developers to integrate models into scalable, production-grade systems.
- Research and prototype novel approaches leveraging the latest advancements in computer vision and machine learning.
- Communicate results, challenges, and opportunities clearly with cross-functional teams and stakeholders.
- Contribute to setting team standards for code quality and reproducibility.
- Review AI outputs for accuracy, compliance, and alignment with organizational standards while ensuring AI use drives measurable results and supports strategic organizational goals.
Requirements
- Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field or 16 years experience
- 4+ years of industry experience in ML with a focus on computer vision applications
- Proven experience in image segmentation, object detection or related subjects.
- Expertise with Python and relevant ML libraries such as PyTorch, OpenCV & CoreML for datacenter and mobile.
- Proficiency with AI coding assistants such as Github Copilot, Claude Code and GPT 5 to improve developer productivity.
- Experience with annotation tools, dataset management, and versioning.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and in collaborative team environments.
- Must live or be willing to relocate to Atlanta GA or Austin TX and work in a hybrid office setting weekly.
Benefits
- The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations.
- Seven paid holidays throughout the calendar year.
- Up to 160 hours of paid wellness annually for their own wellness or that of family members.
- Additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
- Health care insurance (medical, dental, vision).
- Retirement planning (401(k)).
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