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Machine Learning Intern Remote Jobs in Detroit, MI

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Staff Site Reliability Engineer

Ann Arbor, MI · On-site +1

$55.75 - $74/hr

... learning and development. Our philosophy is that careers are continuous journeys, and we dedicate ... Sight Machine has offices in San Francisco, CA and Ann Arbor, Mi. We do have a remote-friendly ...

New

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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Machine Learning Intern Remote information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

How much do machine learning intern remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning intern remote in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

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

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What are the most commonly searched types of Machine Learning Remote jobs in Detroit, MI?

The most popular types of Machine Learning Remote jobs in Detroit, MI are:

What are popular job titles related to Machine Learning Intern Remote jobs in Detroit, MI?

For Machine Learning Intern Remote jobs in Detroit, MI, the most frequently searched job titles are:

What cities near Detroit, MI are hiring for Machine Learning Intern Remote jobs?

Cities near Detroit, MI with the most Machine Learning Intern Remote job openings:

Infographic showing various Machine Learning Intern Remote job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,156 per year, or $20.3 per hour.

Quantitative Research Intern

Detroit Lions

Allen Park, MI • Remote

Part-time, Internship

Posted yesterday

New


Job description

The Remote Quantitative Research Intern position will be tasked with completing a quantitative research project to assist the club's Football Information department in identifying key insights. Most of the work in this role will be completed independently, with significant flexibility in scheduling.

Qualifications

  • Passion for the game of football
  • Intellectual curiosity and enthusiasm for answering questions with data
  • Ability to build statistical models in R or Python required
  • Coursework in statistics and/or machine learning required
  • Strong quantitative intuition
  • Self-directed, proactive, and able to work independently

Optional Supplemental Materials

  • If you have a deliverable from a prior data analytics project (e.g., an NFL Big Data bowl submission, thesis or class paper, well-documented GitHup repo, blog post, presentation slides, or detailed Twitter thread), please include it in or a link with your application
  • If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application

Time Commitment

This is a remote, part-time position. Interns will focus on a single football research project over a 10-week period. Over the course of the 10 weeks, the intern will be expected to spend an average of 15 hours a week working on the project. The role is open to anyone who can meet this time commitment.