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Machine Learning Engineer Associate Jobs in Lansing, MI

Trilyon, Inc.

Programmer Analyst 3 (Hybrid)

Lansing, MI · On-site

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... Programmer Analyst 3 Location: Lansing, MI (Hybrid) Duration: 12 months contract with high ...

Orchid Orthopedic Solutions

CNC Programmer, Machining

Mason, MI · On-site

$23.25 - $31.75/hr

Troubleshoot and identify machine problems. * Use Unigraphics and MasterCAM modeling as required to ... Perform changes per engineer change request (ECR) and engineer change order (ECO) process work ...

Orchid Orthopedic Solutions

CNC Programmer, Machining

Holt, MI · On-site

$23.75 - $32.25/hr

Troubleshoot and identify machine problems. * Use Unigraphics and MasterCAM modeling as required to ... Perform changes per engineer change request (ECR) and engineer change order (ECO) process work ...

Orchid MPS Holdings, LLC

CNC Programmer, Machining

Holt, MI · On-site

$23.75 - $32.25/hr

Troubleshoot and identify machine problems. * Use Unigraphics and MasterCAM modeling as required to ... Perform changes per engineer change request (ECR) and engineer change order (ECO) process work ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Lansing, MI

Machine Learning Engineer Associate information

See Lansing, MI salary details

$42.1K

$83.8K

$133.9K

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

As of Sep 10, 2026, the average yearly pay for machine learning engineer associate in Lansing, MI is $83,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $96,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are the most commonly searched types of Machine Learning Engineer jobs in Lansing, MI?

The most popular types of Machine Learning Engineer jobs in Lansing, MI are:

What are popular job titles related to Machine Learning Engineer Associate jobs in Lansing, MI?

For Machine Learning Engineer Associate jobs in Lansing, MI, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Associate jobs in Lansing, MI look for?

The top searched job categories for Machine Learning Engineer Associate jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Machine Learning Engineer Associate jobs?

Cities near Lansing, MI with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in Lansing, MI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 26% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $83,815 per year, or $40.3 per hour.

Data Engineering Internship - Summer 2027

Lansing, MI • On-site

Auto Owners Insurance Company
Insurance Services • 5 - 10K employees
Learn more about Auto Owners Insurance Companyexternal

Part-time

Posted 15 days ago

Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.

Job Description

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated Data Engineering intern to join our team this summer. The positionanalyzes data processes and the needs of users and stakeholders; develops project plans; and designs, implements, and manages data quality, data reporting, and governance solutions. The position requires the person to:

  • Work with project stakeholders to identify business requirements and expected outcomes.
  • Create, evaluate, and summarize data assets in a form acceptable for use within the Company or outside the Company, including use by government bureaus, agencies, and others.
  • Evaluate and complete regulatory data requests in an accurate and timely manner.
  • Understand data sources and the data lineage of various computer systems in the Company.
  • Build, maintain, and document code used to transform, aggregate, and analyze data.
  • Create and enhance data extracts and analyses to support data reporting functions and inquiries.
  • Evaluate the reliability of sources of data, investigate data integrity, identify data problems, and provide technical expertise for ensuring data quality, while promoting understanding within the Division.
  • Assist with training and mentoring of other associates.
  • Contribute to and promote the peer review process, verify work completed by others, and develop other quality control measures

This internship has full-time hours (Monday through Friday) and is in person in Lansing, Michigan. Interns choose their start and end dates. Most join in mid-May and stay until mid-August.

Desired Skills & Experience

  • Student must be working toward a bachelor's in statistics, computer science, data mining, machine learning, mathematics, physics, operations research, or a related quantitative discipline, and have at least two years of coursework completed. Master's students are also considered if graduation is August 2027 or later.
  • Successful completion of actuarial exams or other Company approved courses is preferred. These requirements may be waived or changed, at Company discretion, based on prior education and/or experience.
  • Ability to apply mathematical, statistical, and programming concepts and procedures to analyze and solve complex insurance processes.
  • Demonstrate strong analytical reasoning, problem solving, technical writing, and collaboration and presentation skills.
  • Exhibit high level of initiative, motivation, organization, and leadership.
  • Ability to lead projects and coordinate among diverse stakeholders.
  • Ability to mentor by sharing knowledge and challenging others to grow their skill sets.
  • Ability to work effectively with others at all levels.

Equal Employment Opportunity

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.

*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

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