AI/ML Battery Algorithm Development Engineer

Clarios • Milwaukee, WI

47d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees