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Entrylevel Machine Learning Engineer Jobs in Taylor, MI

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

AI/ML Engineer (AWS)

Detroit, MI · On-site

$120K - $155K/yr

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

AI/ML Engineer (AWS)

Detroit, MI · On-site

$120K - $155K/yr

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into other systems. * Familiarity with the Python data science stack through exposure to libraries such ...

Your focus will be on backend software engineering, specifically in developing machine learning and generative AI applications, as well as creating reusable AI/ML components. Responsibilities: * Work ...

AI and Data Science Engineer II

Detroit, MI · On-site

$113K - $136K/yr

Translating business goals into machine learning use cases and model design approaches ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102K - $140K/yr

Experience integrating Machine Learning and Generative AI solutions into production-grade ... Hands-on experience in other programming language/scripting language and development stack (Java ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Apply foundational machine learning techniques such as regression, classification, and clustering to manufacturing-related datasets. * Partner with engineering and manufacturing stakeholders to ...

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Showing results 1-20

Entrylevel Machine Learning Engineer information

See Taylor, MI salary details

$29.2K

$119.5K

$179.6K

How much do entrylevel machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entrylevel machine learning engineer in Taylor, MI is $119,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $143,900.00 per year, depending on experience, location, and employer.

What is the difference between Entrylevel Machine Learning Engineer vs Data Scientist?

AspectEntrylevel Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Math, or related; some knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles involve working with data and algorithms, an Entrylevel Machine Learning Engineer primarily focuses on developing and deploying machine learning models within software systems. In contrast, a Data Scientist emphasizes analyzing data, creating statistical models, and deriving insights. Both roles often require similar educational backgrounds, but their day-to-day tasks and industry applications differ.

What cities near Taylor, MI are hiring for Entrylevel Machine Learning Engineer jobs? Cities near Taylor, MI with the most Entrylevel Machine Learning Engineer job openings:
Battery Modeling Engineer

Battery Modeling Engineer

A123 Systems LLC

Novi, MI • Hybrid

Full-time

Posted 22 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.