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Machine Learning Engineer New Grad Jobs in Pinckney, MI

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100.30K - $132.10K/yr

Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ... New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base ...

THOMSON REUTERS

Research Engineer

Ann Arbor, MI · Hybrid

At least2years software engineering experience, ideally in the context of machine learning and ... A desire to learn and embrace new and emerging technology * Familiarity with probabilistic models ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100.30K - $132.10K/yr

A system thinker with technical depth in machine learning approaches to complex systems. This ... Incorporate data-driven approaches to improve system performance and unlock new capabilities for ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100.30K - $132.10K/yr

A system thinker with technical depth in machine learning approaches to complex systems. This ... Incorporate data-driven approaches to improve system performance and unlock new capabilities for ...

THOMSON REUTERS

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102.20K - $140.40K/yr

Experience integrating Machine Learning and Generative AI solutions into production-grade ... New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base ...

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Machine Learning Engineer New Grad information

See Pinckney, MI salary details

$29.7K

$121.4K

$182.4K

How much do machine learning engineer new grad jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer new grad in Pinckney, MI is $121,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.
More about Machine Learning Engineer New Grad jobs
What cities near Pinckney, MI are hiring for Machine Learning Engineer New Grad jobs? Cities near Pinckney, MI with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Pinckney, MI as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $121,390 per year, or $58.4 per hour.
Battery Modeling Engineer

Battery Modeling Engineer

A123 Systems Corp.

Novi, MI • On-site

Full-time

Posted 12 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 & industrial (C&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 & 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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