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Entry Level Google Cloud Machine Learning Engineer Jobs in Novi, MI

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 ...

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 ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Research Engineer

Ann Arbor, MI · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning methods * Proficiencyin automation, system monitoring, and cloud-native ... Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ...

Market Duration: Long term * Cloud Software Engineer Position Overview At Our Company, we believe ... Your focus will be on backend software engineering, specifically in developing machine learning and ...

Software Engineer

Dearborn, MI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Google Cloud Platform - 1 to 2 yrs * Java - 5 to 6 yrs * MongoDB - 1 to 3 yrs * IAM - 1 to 3 yrs ... Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in ...

Sr Software Engineer

Southfield, MI · On-site

$112K - $148K/yr

Stefanini, Inc. seeks a Software Engineer, Sr. reporting to office in Southfield, MI to design ... Google Cloud Platform (GCP); ETL/ELT data processing pipelines; data transformation and data ...

Sr Software Engineer

Southfield, MI

$112K - $148K/yr

Stefanini, Inc. seeks a Software Engineer, Sr. reporting to office in Southfield, MI to design ... Google Cloud Platform (GCP); ETL/ELT data processing pipelines; data transformation and data ...

Sr Software Engineer

Southfield, MI · On-site

$112K - $148K/yr

Stefanini, Inc. seeks a Software Engineer, Sr. reporting to office in Southfield, MI to design ... Google Cloud Platform (GCP); ETL/ELT data processing pipelines; data transformation and data ...

Sr Software Engineer

Southfield, MI · On-site

$112K - $148K/yr

Stefanini, Inc. seeks a Software Engineer, Sr. reporting to office in Southfield, MI to design ... Google Cloud Platform (GCP); ETL/ELT data processing pipelines; data transformation and data ...

Showing results 41-60

Entry Level Google Cloud Machine Learning Engineer information

See Novi, MI salary details

$28.1K

$65.1K

$110.7K

How much do entry level google cloud machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level google cloud machine learning engineer in Novi, MI is $65,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $73,600.00 per year, depending on experience, location, and employer.

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For Entry Level Google Cloud Machine Learning Engineer jobs in Novi, MI, the most frequently searched job titles are:

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Infographic showing various Entry Level Google Cloud Machine Learning Engineer job openings in Novi, MI as of June 2026, with employment types broken down into 50% Full Time, 28% Part Time, 20% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $65,075 per year, or $31.3 per hour.

Battery Modeling Engineer

A123 Systems LLC

Novi, MI • Hybrid

Full-time

Re-posted 8 hours 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.