Milwaukee Tool ยท 5 hours ago
Sr. ML Engineer-Cells
Milwaukee Tool is a leading company in the construction industry known for its innovative approach to technology. They are seeking a Senior ML Engineer to integrate advanced machine learning methodologies into Lithium-ion cell engineering, focusing on predictive modeling and optimization processes in collaboration with engineering teams.
Consumer GoodsElectronicsIndustrialManufacturingSoftware
Responsibilities
Develop and implement ML models to predict and optimize cell performance, degradation, and lifetime
Collaborate with electrochemists and design engineers to integrate ML insights into cell architecture and material selection
Integrate physics-based battery models with ML frameworks to improve performance prediction robustness and interpretability
Develop tools for early prediction of cycle-life, impedance growth, OCV drift, or self-discharge using engineering lab and ORT datasets
Use ML-driven simulations and optimization techniques to accelerate design cycles
Support Pack and Charger teams by developing ML models that translate cell-level data to pack performance, imbalance, or charge-acceptance behavior
Define acceptance criteria and drive organizational change for standardized data structures and integrity of the databases
Apply advanced analytics to correlate design parameters with performance outcomes
Collaborate with Quality team to create ML tools for spec optimization and MP drift detection
Build predictive models for incoming material quality and process variability
Deploy anomaly detection and root-cause analysis tools for supplier and production data
Act as a technical lead for ML initiatives across engineering teams
Mentor junior engineers and data scientists on ML best practices
Communicate via technical reports, presentations, and other documentation to communicate results and recommendations to internal and external stakeholders
Maintain knowledge of industry trends and emerging technologies related to Li-ion battery cell development
Qualification
Required
Bachelor's, or Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Data Science, or related fields with strong ML emphasis
Minimum 4+ years of hands-on experience in machine learning and data analytics
Proven track record of independently driving ML projects from concept to deployment
Proficiency in Python, TensorFlow/PyTorch, and data visualization tools
Ability to integrate physics-based models with data-driven approaches
Strong knowledge of supervised/unsupervised learning, deep learning, and statistical modeling
Familiarity with big data platforms and cloud computing (AWS, Azure, or GCP)
Understanding of engineering principles related to energy storage systems
Highly motivated self-driver with a never settle, always improving attitude
Excellent communication skills with a proven ability to collaborate effectively across cross-functional teams
Preferred
Experience with battery technology or electrochemical systems is highly desirable
Knowledge of materials used in Lithium-ion cell industry for cathode, anode, separator etc., and materials characterization techniques is preferred
Benefits
Robust health, dental and vision insurance plans.
Generous 401 (K) savings plan.
Education assistance.
On-site wellness, fitness center, food, and coffee service.
And many more, check out our benefits site HERE.
Company
Milwaukee Tool
Milwaukee Tool manufactures electric power tools and accessories.
H1B Sponsorship
Milwaukee Tool has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (89)
2024 (109)
2023 (65)
2022 (111)
2021 (53)
2020 (13)
Funding
Current Stage
Late StageRecent News
GlobeNewswire
2026-01-05
2025-12-07
Company data provided by crunchbase