1

Junior Machine Learning Engineer Jobs in 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 ...

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 · 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

HVAC Jr. Mechanic

Saint Johns, MI · On-site

$22.75 - $30.75/hr

... on integrity and learning. CURRENT OPPORTUNITY: HVAC JR. MECHANIC JOB RESPONSIBILITIES ... Uses a variety of hand-tools, following blueprints or engineering specifications, to diagnose and ...

Showing results 21-40

Junior Machine Learning Engineer information

See Lansing, MI salary details

$34K

$72.8K

$111.1K

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

As of Aug 11, 2026, the average yearly pay for junior machine learning engineer in Lansing, MI is $72,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $81,100.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

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 Junior Machine Learning Engineer jobs in Lansing, MI? For Junior Machine Learning Engineer jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Lansing, MI look for? The top searched job categories for Junior Machine Learning Engineer jobs in Lansing, MI are:
What cities near Lansing, MI are hiring for Junior Machine Learning Engineer jobs? Cities near Lansing, MI with the most Junior Machine Learning Engineer job openings:

Full-time

Medical, Dental

Re-posted 20 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.