Machine Learning Lead Engineer
Cox AutomotiveResponsibilities
- Design, build, maintain, train, deploy, and optimize machine learning models, algorithms, and data-processing pipelines.
- Develop AI/ML-powered solutions for predictive applications, workflow automation, data-quality improvement, and multimodal data analysis.
- Lead experimental ML initiatives, emerging-technology evaluations, AI transformation programs, and strategic adoption planning.
- Build production monitoring frameworks and improve ML infrastructure, scalability, reliability, documentation, and engineering practices.
- Design agentic workflows for autonomous training, data pipelines, multi-step analysis, and analytical problem solving.
- Establish AI governance practices covering bias detection, interpretability, compliance monitoring, and responsible deployment.
- Analyze complex datasets and translate model insights and experimental results into business and customer value.
- Mentor teams, promote responsible AI adoption, share best practices, and foster a culture of experimentation and continuous learning.
- Lead innovative projects from concept through proof of concept and contribute to technical publications or whitepapers.
- Collaborate with engineering and cross-functional teams, communicate with technical and executive audiences, and build research partnerships.
Requirements
- Applicants must be authorized to work in the United States for any employer without current or future sponsorship; OPT, CPT, STEM/OPT, and visa sponsorship are not accepted.
- A related bachelor’s degree and 6 years of machine learning experience, or an alternative combination including a master’s degree with 4 years, a Ph.D. with 1 year, or 18 years of related experience without a degree.
- At least 6 years of experience as a Machine Learning Engineer or equivalent, subject to the stated alternative qualification pathways.
- Deep expertise in multiple machine learning domains and familiarity with emerging research areas such as LLMs, agents, foundation models, multimodal AI, or quantum ML.
- Experience with technology evaluation, competitive analysis, strategic planning, product prioritization, cross-team dependencies, and technology integration.
- Experience with Rally, Jira, or similar tools.
- A record of leading innovative projects, knowledge sharing, thought leadership, research collaboration, and partnership development.
- Experience building and leading high-performing research or innovation teams, preferably in corporate research labs, innovation teams, or technology consulting.
- Strong communication, analytical, consulting, requirements-analysis, stakeholder-collaboration, and strategic-planning skills.
- A strong ML research-community network and demonstrated scientific rigor, adaptability, and comfort with non-deterministic systems.
Categories
About Cox Automotive
Cox Automotive is the world’s largest automotive services and technology provider. Fueled by the largest breadth of first- and third-party data fed by 2.3 billion online interactions a year, Cox Automotive tailors leading solutions for car shoppers, auto manufacturers, dealers, lenders and fleets. The company has 29,000+ employees on four continents and a portfolio of industry-leading brands that include Autotrader®, Kelley Blue Book®, Manheim®, vAuto®, Dealertrack®, NextGear Capital™, CentralDispatch® and Cox Fleet®. Cox Automotive is a subsidiary of Cox Enterprises Inc., a privately owned, Atlanta-based company with $23 billion in annual revenue. Cox Automotive has been included on Glassdoor’s Best Companies in Tech & AI 2026 and Best Place to Work in 2026 lists.