AI/ML Battery Algorithm Development Engineer

Clarios-posted 1 day ago
Full-time • Mid Level
Milwaukee, WI
5,001-10,000 employees
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The successful candidate will be responsible for developing advanced battery diagnostic algorithms by integrating first-principles electrochemical knowledge with AI and machine learning methods to improve the accuracy of battery aging and failure predictions and optimize overall lifecycle performance. This position also leads proof-of-concept initiatives that apply AI tools to accelerate engineering workflows, streamline processes from requirements analysis through release, and drive more efficient and data-informed product development.

  • Develop and validate AI/ML algorithms for battery State of Health (SOH) and predictive analytics.
  • Build and maintain multi-agent systems for battery bot enhancements.
  • Evaluate AI platforms such as Azure AI Foundry and Snowflake for workflow automation.
  • Apply AI tools to automate engineering processes and requirement analysis.
  • Improve modeling workflows through automation, and integration with enterprise systems.
  • Design, implement, and optimize algorithms for battery performance modeling and failure prediction.
  • Integrate algorithm outputs into system-level models for real-time monitoring and diagnostics.
  • Support and participate hand on battery test, tear down for performance and failure evaluation.
  • Analyze battery aging and failure mechanisms to improve reliability and lifecycle performance.
  • Bachelor’s or master’s degree in mechanical, Electrical, Chemical Engineering, Applied Mathematics, or related field.
  • Experienced with battery technologies and understanding of aging and failure mechanisms.
  • Good understanding of Probability, Statistics and ML theory
  • Skilled in developing and deploying ML models in data warehouses or workspaces (such as Snowflake/Snowpark) and building visuals (like Power BI) for data analysis.
  • Proficiency with Python and ML frameworks (e.g., XGBoost, PyTorch).
  • Ability to quickly learn and adopt emerging technologies, including Generative AI and Large Language Models (LLMs), with a focus on practical application.
  • Demonstrated ability to design and apply effective prompting techniques for Generative AI and Large Language Models, ensuring accurate and relevant outputs in engineering applications.
  • Experience with AI & Retrieval-Augmented Generation (RAG) tools to synthesize data from multiple sources.
  • Advanced skills in mathematical modeling, simulation, and data analysis.
  • Experience in SQL and DAX is considered a strong asset
  • Experience developing automated engineering workflows.
  • Knowledge of data governance, compliance, and traceability best practices.
  • Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire
  • Tuition reimbursement, perks, and discounts
  • Parental and caregiver leave programs
  • All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits
  • Global market strength and worldwide market share leadership
  • HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility
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