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Battery Machine Learning Jobs in Detroit, MI (NOW HIRING)

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs. * Support NBO and regular life ...

A123 Systems Corp.

Battery Modeling Engineer

Novi, MI · On-site

Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs. * Support NBO and regular life ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

... for Machine Learning Engineers to help make it autonomous. We're not a software company selling ... Today, we're producing battery-grade lithium salts from real oil and gas wastewater in our ...

Stellantis

Battery OTA Manager

Auburn Hills, MI · On-site

Battery OTA Manager DUTIES : Lead the integration of Battery OTA functions on all EV platforms ... Applying Data Analytics and Machine Learning; Utilizing Databricks, INCA, CDA, CAN, CANalyzer, and ...

Stellantis

Battery OTA Manager

Auburn Hills, MI

Battery OTA Manager DUTIES : Lead the integration of Battery OTA functions on all EV platforms ... Applying Data Analytics and Machine Learning; Utilizing Databricks, INCA, CDA, CAN, CANalyzer, and ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

Expleo

Aftersales 12V Technical & Data Specialist

Troy, MI · On-site

$65K - $110K/yr

Analyze battery tester performance, software validation results, and diagnostic accuracy studies ... Utilize statistical analysis, predictive analytics, machine learning techniques, and AI-enabled ...

Expleo

Aftersales 12V Technical & Data Specialist

Troy, MI · On-site

$65K - $110K/yr

Analyze battery tester performance, software validation results, and diagnostic accuracy studies ... Utilize statistical analysis, predictive analytics, machine learning techniques, and AI-enabled ...

Expleo

Aftersales 12V Technical & Data Specialist

Troy, MI · On-site

$65K - $110K/yr

Analyze battery tester performance, software validation results, and diagnostic accuracy studies ... Utilize statistical analysis, predictive analytics, machine learning techniques, and AI-enabled ...

General Motors

Advance Cell Engineer

Warren, MI · On-site

The Role The Advanced Battery Cell Design Engineer plays a critical role in developing next ... machine learning, statistics) for design and performance assessments. * Collaborate with ...

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Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a battery machine learning engineer?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What is battery machine learning?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.

What are some common challenges faced by professionals working in battery machine learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.
What are popular job titles related to Battery Machine Learning jobs in Detroit, MI? For Battery Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in Detroit, MI look for? The top searched job categories for Battery Machine Learning jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Battery Machine Learning jobs? Cities near Detroit, MI with the most Battery Machine Learning job openings:
Battery Machine Learning jobs near you

Battery Modeling Engineer

A123 Systems LLC

Novi, MI • Hybrid

Full-time

Re-posted 24 days ago

Job description

A123 Systems, LLC is a leading developer and manufacturer of advanced lithium-ion battery technologies and energy storage systems. Our solutions serve a wide range of applications, from traditional automotive batteries to utility-scale and commercial amp; industrial (C amp;I) energy storage. Committed to safety, longevity, and energy efficiency, A123 delivers high-performance battery technology solutions with a strong commitment to grow and serve our customers, industry requirements with the goal to make the Air Cleaner.
Position Overview
The Advanced Simulation Technology amp; AI Department at A123 Systems is hiring a Battery Modeling Engineer with the major responsibilities of developing physics-based models for different cell chemistry to understand the aging mechanisms and optimize the cell design, and developing data-driven AI machine learning models to optimize battery cell manufacturing process. Other responsibilities include conducting cell-, module-, and pack-level life simulation for Li-ion battery systems used in electric vehicles, plug-in hybrid electric vehicles, hybrid electric vehicles, energy storage systems, drone and electric vertical take-off and landing.
Primary Responsibilities
  • Develop physics-based models to identify aging mechanisms and optimize cell design.
  • Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs.
  • Support NBO and regular life simulation activities through global collaboration.
  • Work in a global team and collaborate with cross-functional team colleagues.
  • Communicate findings to external customers in a positive and constructive manner, and establish/maintain technical communications for any open issues.
Specific Skills/Experience
  • Solid knowledge of electrochemical modeling and battery aging.
  • Solid Knowledge of battery chemistry and battery manufacturing.
  • Excellent experience in modeling of electrochemical systems.
  • Solid knowledge of machine learning, data cleaning, cloud computing, etc.
  • Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc.
  • Experience with ML libraries, i.e., Tensor Flow, PyTorch, etc.
  • Experience in Li-ion battery modeling and machine learning in industry is a plus.
  • Strongly self-motivated and willingness to learn new knowledge.
  • 0-2 years industry working experience.
Education
  • Ph.D. degree in Engineering, Physics, Math, Statistics, Analytics, etc.

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