Cox Automotive
MachineLearningLeadEngineer
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“Machine Learning Lead Engineer at Cox Automotive. Skills: Machine Learning, AI, MLOps, Generative AI. Spearhead experimental ML initiatives. Drive innovation across organization”
What You'll Achieve.
Establish company as thought leader; Develop practical solutions; Improve data quality; Optimize model performance; Optimize model scalability; Optimize model reliability; Translate model insights into business value; Establish automated monitoring frameworks; Promote responsible AI innovation culture; Solve real-world business use cases; Solve customer use cases
Industry & Context.
Analytical thinking; Problem solving
15% travel, Drug test
What They're Looking For.
Must Have
Bachelor's degree in related discipline and 6 years experience, Master's degree and 4 years experience, Ph.D. and 1 year experience, 18 years experience in related field with no degree, Minimum 6 years experience as Machine Learning Engineer, Proficiency in AI development tools, Understanding of agentic frameworks, Knowledge of AI ethics, Ability to leverage AI for technical communication, Commitment to continuous learning
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Spearhead experimental ML initiatives
Drive innovation across organization
Lead efforts to identify ML technologies
Evaluate emerging ML technologies
Prototype emerging ML technologies
Establish company as thought leader
Apply AI/ML principles
Design frameworks for big data
Test frameworks for big data
Scale frameworks for big data
Design systems for big data
Test systems for big data
Scale systems for big data
Design models for big data
Test models for big data
Scale models for big data
Develop AI/ML-powered solutions
Research machine learning methods
Implement machine learning methods
Test machine learning methods
Create product features
Extract insights from data
Learn from complex data
Develop practical solutions
Accelerate ML development using AI tools
Stay up to date with advancements
Design pipelines for data processing
Build pipelines for data processing
Maintain pipelines for data processing
Design pipelines for training
Build pipelines for training
Maintain pipelines for training
Design pipelines for inference
Build pipelines for inference
Maintain pipelines for inference
Optimize model performance
Optimize model scalability
Optimize model reliability
Collaborate cross-functionally
Translate model insights into business value
Communicate project updates
Contribute to ML infrastructure improvements
Contribute to best practices
Contribute to documentation
Partner with engineering teams
Integrate AI-enhanced models
Establish automated monitoring frameworks
Establish AI governance practices
Monitor interpretability
Monitor responsible deployment
Mentor teams in AI adoption
Promote responsible AI innovation culture
Lead AI transformation initiatives
Plan strategic adoption
Analyze complex data sets
Solve real-world business use cases
Solve customer use cases
Perform end-to-end development of ML models
Assist with development of whitepapers
Lead development of whitepapers
Assist with technical publications
Lead technical publications
Continuously evaluate AI processes
Design agentic workflows
Design autonomous training
Design data pipelines
Design analytical problem solving
How You'll Work.
Team & Collaboration
Cross-functionally; Partner with engineering teams; Collaborate with stakeholders
Communication Scope
Technical communication
Process & Methodology
Rally, Jira
Full Job Description
**Company** Cox Automotive - USA **Job Family Group** Data Intelligence & Science **Job Profile** Machine Learning Lead Engineer **Management Level** Manager - Non People Leader **Flexible Work Option** Hybrid - Ability to work remotely part of the week **Travel %** Yes, 15% of the time **Work Shift** Day **Compensation** Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. **Job Description** We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting-edge research with the responsibility of building a culture of continuous learning and knowledge sharing. You'll lead efforts to identify, evaluate, and prototype emerging ML technologies while establishing our company as a thought leader in the ML community. Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business needs. Researches, implements, and tests machine learning methods to create product features, automate workflows, extract insights from data, and improve data quality. Structures, trains, and deploys models to learn from complex data across multiple modalities (e.g., structured, unstructured, image, video, audio) to uncover patterns and develop practical solutions. Possesses deep knowledge in at least one sub-area of machine learning, such as deep learning, generative AI, computer vision, optimization, predictive models, or causal machine learning. **WHAT YOU’LL DO** **Key Responsibilities** * Accelerate ML development using AI t
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