MLOps Engineer working on ML processes and robust workflows at Kensho. Collaborating with engineers to enhance tooling, services, and frameworks for machine learning.
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)).
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Intern working on avionics hardware and software for Blue Origin. Gaining hands - on experience while contributing to space development projects.
Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.
MLOps Engineer scaling AI/ML solutions across game studios at Stillfront. Collaborating with teams to operationalize machine learning solutions for a diverse gaming portfolio.
Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
Contract AI/ML Engineer focused on delivering machine learning projects for clients at AND Digital. Aiming to enhance AI - powered solutions and contribute to digital skills development.
Senior Machine Learning Engineer at TomTom building data pipelines for autonomous vehicle mapping solutions. Collaborating in a diverse team to innovate and implement machine learning technologies.
Machine Learning Manager improving automated decision - making and managing a team. Driving innovations in credit risk modeling for Monzo’s borrowing products.