Cox Automotive is seeking a Machine Learning Engineer Lead to spearhead ML initiatives, drive innovation, and establish the company as a thought leader in the ML community by identifying, evaluating, and prototyping emerging ML technologies.
Requirements
- Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
- Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
- Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
- Deep expertise in multiple ML domains and familiarity with emerging research areas
- Strong experience in technology evaluation, competitive analysis, and strategic planning
- Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
- Experience building and leading high-performing research or innovation teams
Responsibilities
- Accelerate ML development using AI tools for code generation, feature engineering, optimization, and validation
- Design, build, and maintain ML models, algorithms, and robust pipelines for data processing, training, and inference
- Optimize model performance, scalability, and reliability in production environments
- Contribute to ML infrastructure improvements, best practices, and documentation
- Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.
- Establish AI governance practices including bias detection, interpretability, compliance monitoring, and responsible deployment.
- Performs end-to-end development of machine learning models
Other
- Bachelor’s degree in a related discipline and 6 years’ experience in a related field; or a different combination, such as a master's degree and 4 years’ experience; a Ph.D. and 1 years’ experience in a related field; or 14 years’ experience in a related field with no degree
- Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
- Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
- Excellent communication skills for technical and executive audiences
- Strong network within the ML research community
