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Machine Learning Engineer Jobs in East Lansing, MI

Applies machine learning algorithms and predictive models to solve complex business challenges ... with programming languages, especially Python and SQL, or equivalent; excellent communication ...

Data Scientist

Okemos, MI ยท On-site

$110 - $140/hr

Applies machine learning algorithms and predictive models to solve complex business challenges ... with programming languages, especially Python and SQL, or equivalent; has excellent communication ...

An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.

... 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 ...

Support CNC machining operations by reading and interpreting blueprints, manuals, and GD&T. * Make ... After the first six months, employees will have access to Udemy courses for further learning and ...

New

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... Ensures SEM (system engineering methodology) deliverables for the project that are a responsibility ...

Predictive Modeler

Lansing, MI ยท On-site

$55.50 - $72/hr

Use statistical or machine learning techniques to build models that address business needs and ... Electrical Engineering, etc.) * Outstanding problem solving and critical thinking skills * An ...

Predictive Modeler

Lansing, MI ยท Hybrid

$55.50 - $72/hr

Use statistical or machine learning techniques to build models that address business needs and ... Electrical Engineering, etc.) * Outstanding problem solving and critical thinking skills * An ...

Analytics Project Lead

Lansing, MI ยท On-site

$43 - $55/hr

Coordinate across engineering, data, and platform teams to ensure alignment and successful delivery ... Experience supporting or leading projects involving software development, machine learning ...

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Using statistical or machine learning techniques to build models that address business needs and ...

Kettering Co-op

Lansing, MI ยท On-site

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Using statistical or machine learning techniques to build models that address business needs and ...

Showing results 21-40

Machine Learning Engineer information

See East Lansing, MI salary details

$29.8K

$122K

$183.3K

How much do machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer in East Lansing, MI is $121,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $146,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in East Lansing, MI? The most popular types of Machine Learning Engineer jobs in East Lansing, MI are:
What are popular job titles related to Machine Learning Engineer jobs in East Lansing, MI? For Machine Learning Engineer jobs in East Lansing, MI, the most frequently searched job titles are:
What cities near East Lansing, MI are hiring for Machine Learning Engineer jobs? Cities near East Lansing, MI with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in East Lansing, MI as of August 2026, with employment types broken down into 76% Full Time, 3% Part Time, and 21% Contract. Highlights an 84% In-person, 3% Hybrid, and 13% Remote job distribution, with an average salary of $121,959 per year, or $58.6 per hour.

Full-time

Medical, Dental

Re-posted 19 days ago


Job description

Job Title:
Data Scientist
Number of Positions:
1
Location:
Okemos, MI
Location Specifics:
Hybrid Position
Job Summary:
At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.
At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.
Position Description:
To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.
Primary Job Responsibilities:
  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.
#LI-Hybrid
Minimum Requirements:
Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.
Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.