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Machine Learning Jobs in East Lansing, MI (NOW HIRING)

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI · On-site

$59K - $60K/yr

Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data-driven decision-making concepts gained through coursework, projects, research, certifications, IBM ...

This role will develop target-state data platform architectures, establish enterprise data strategies, and guide the design of Data, Analytics, and Machine Learning products aligned with business ...

Material Handler/Machine Operator

Charlotte, MI · On-site

$15.50 - $18.50/hr

Learning and growth opportunities Responsibilities: * Preparing and filling customer orders to quality standards for shipments * Operating heavy equipment and machinery : cranes, forklifts, and other ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

Showing results 21-40

Machine Learning information

See East Lansing, MI salary details

$24.2K

$40.3K

$83.3K

How much do machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning in East Lansing, MI is $40,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,600.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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

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

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

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

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

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

Infographic showing various Machine Learning job openings in East Lansing, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,332 per year, or $19.4 per hour.

AI Engineer / Applied AI Developer

Tech Tammina LLC

Okemos, MI • On-site

Contractor

Re-posted 21 days ago


Job description

Role: AI Engineer / Applied AI Developer

Location: Okemos, MI or Farmington Hills, MI (3 days in a week onsite)

Duration: Long term

Rate: Market

Summary:

·         The ideal candidate should have strong hands-on development skills, with a passion for building AI-powered proof-of-concepts and exploring cutting-edge AI capabilities. 

·         The candidate must be comfortable working in a fast-paced, research-driven environment, be a problem solver with excellent critical thinking, and have a strong foundation in Python programming.

·         Experience with large language models is a must.

·         Machine learning frameworks, or AI cloud services is a plus but not required.

Must Have Technical Skills:

•        Java (advanced proficiency)

•        Python (intermediate to advanced proficiency)

•        Ability to quickly build working proof-of-concepts

•        Strong analytical and critical thinking skills

•        Experience with prompt engineering and function calling in LLMs

•        Experience integrating APIs and handling structured/unstructured data

•        Familiarity with Git and development in a collaborative environment