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Machine Learning Developer Intern Jobs in Michigan

Howmet

Machine Learning Engineer

Whitehall, MI · On-site

Currency Code US Dollar , Responsibilities Howmet Aerospace is hiring a Machine Learning Engineer with expertise in deep learning to join our innovative Research and Development team. This role ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning systems that control our mineral refining facilities. You'll start with well-scoped problems inside our ...

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for a candidate who is responsible for predicting and/ or ...

Crowe LLP

Machine Learning Intern

Grand Rapids, MI

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language ...

Corning

$95K - $130K/yr

... DevOps practices for model versioning, orchestration, CI/CD, containerization, security, data ... in machine learning engineering, data engineering, software engineering, or a related technical ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for candidates who will be responsible for predicting and ...

Domino's Pizza

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Leads the design, development, and deployment of machine learning models to address moderately ... GitHub (GitHub Enterprise, Actions, and repository management) for source control, CI/CD, and DevOp ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions that leverage Machine ...

Domino's

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Leads the design, development, and deployment of machine learning models to address moderately ... GitHub (GitHub Enterprise, Actions, and repository management) for source control, CI/CD, and DevOp ...

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All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Michigan

Machine Learning Developer Intern information

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities in Michigan are hiring for Machine Learning Developer Intern jobs?

Cities in Michigan with the most Machine Learning Developer Intern job openings:

Machine Learning Developer Intern jobs near you

Machine Learning Engineer

Whitehall, MI • On-site

Howmet Aerospace
Aviation • 10K+ employees
Learn more about Howmet Aerospaceexternal

Full-time

Posted 6 days ago

Howmet Aerospace rating

7.8

Company rating: 7.8 out of 10

Based on 166 frontline employees who took The Breakroom Quiz

49th of 72 rated aerospace companies

Job description

Howmet Aerospace is hiring a Machine Learning Engineer with expertise in deep learning to join our innovative Research and Development team. This role involves building cutting-edge machine learning and deep learning applications and collaborating with cross-functional teams to support our casting, alloy, core, and rings facilities.

The position is located in Whitehall, Michigan in our Howmet Research Center (HRC).

Primary Responsibilities

  • Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO) to address complex manufacturing challenges.
  • Train and optimize generative models to accelerate development (e.g., diffusion models, VAEs, GANs).
  • Build and refine machine learning algorithms to enhance Howmet products across all business units.
  • Construct, manipulate, and analyze large datasets using tools such as Python and SQL.
  • Leverage transfer learning techniques and pretrained models to achieve strong performance with limited data.
  • Fine‑tune existing models for specific applications and datasets.
  • Develop customized deep learning architectures to handle diverse data types.
  • Conduct statistical multi-factor analyses to uncover complex relationships and improve manufacturing processes.
  • Present data-derived conclusions to a non-technical audience.
  • Identify opportunities to optimize processes and implement continuous improvement tools using machine learning.
  • Promote a data-driven culture across the organization by expanding machine learning applications and leading training initiatives.
  • Collaborate with internal customers to validate trials, implement process enhancements, and integrate machine learning into production workflows.

Basic Qualifications:
•    MS or PhD degree from an accredited university in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics.
•    Minimum of 2 years of hands-on experience in deep learning and machine learning demonstrating ability to apply advanced statistical methods and machine learning algorithms to production/field data using Python.
•    Experience with feature engineering techniques (feature creation, selection, and transformation).
•    Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
•    This export- control language can be added directly to the job posting in the Job Info box of the posting by selecting the sentence in the dropdown field titled "Export-Controlled Data" in section 4 of the job requisition

Preferred Qualifications:
•    Minimum of 5 years of professional experience in data science or machine learning.
•    Theoretical understanding and practical experience applying reinforcement learning techniques for real time decision making and control.
•    Experience using generative models such as diffusion models, VAEs and GANs
•    Comprehensive knowledge of advanced analytics and machine learning techniques.
•    Strong statistical background with demonstrated expertise in analyzing industrial/manufacturing data.
•    Familiarity with manufacturing or industrial plant environments and their unique challenges.
•    Knowledge of software development life cycle (SDLC) 
•    Proficiency in visualization tools (e.g., Power BI)
•    Exceptional verbal and written communication skills with the ability to convey complex ideas clearly.
•    Strong organizational skills and the ability to work independently and in a cross-functional team environment.

Why Join Us?
•    Be at the forefront of innovation, applying machine learning to aerospace manufacturing.
•    Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems.
•    Access professional growth opportunities and a chance to directly impact Howmet Aerospace’s success.

What Howmet Aerospace employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Howmet Aerospace

Sourced by ZipRecruiter

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's sales for 2021 approximated $5 billion. The Company's primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With nearly 1,150 granted and pending patents, the Company's differentiated technologies promote more fuel efficiency for aircraft and commercial transportation. Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Pittsburgh, PA, US

Year founded

1888

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