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Undergraduate Machine Learning Internship Jobs (NOW HIRING)

... on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn ...

$42.75/hr

The team is made up of machine learning researchers and engineers, who support and innovate on ... Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ...

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

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Data Engineer (Machine Learning) Job Type: Full-Time Location: Candidate must be open to relocate ... This role is ideal for recent graduates or candidates with internship or project experience who are ...

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

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Undergraduate Machine Learning Internship information

See salary details

$25.5K

$42.6K

$88K

How much do undergraduate machine learning internship jobs pay per year?

As of Jul 23, 2026, the average yearly pay for undergraduate machine learning internship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an Undergraduate Machine Learning Internship job?

An Undergraduate Machine Learning Internship is a temporary position designed for students pursuing a bachelor's degree who want hands-on experience in machine learning. Interns typically work on real-world projects involving data preprocessing, model development, and performance evaluation under the guidance of experienced engineers or researchers. They may also assist with research, implement algorithms, and optimize models for deployment. The role helps students gain practical skills in coding, data analysis, and machine learning frameworks while preparing them for future careers in AI and data science.

What are the key skills and qualifications needed to thrive in the Undergraduate Machine Learning Internship position, and why are they important?

To thrive as an Undergraduate Machine Learning Intern, you typically need a strong foundation in mathematics, statistics, and programming (Python or R), often supported by ongoing studies in computer science, data science, or a related field. Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, and familiarity with data analysis tools are commonly valued. Curiosity, strong problem-solving abilities, and the willingness to work collaboratively in a team make candidates stand out. These skills and qualities are crucial for learning quickly, making meaningful contributions to real projects, and growing in a fast-paced, technical environment.

What types of projects or tasks can I expect to work on during an Undergraduate Machine Learning Internship?

As an Undergraduate Machine Learning Intern, you can expect to assist with tasks such as data preprocessing, model development and evaluation, and implementing machine learning algorithms under the guidance of experienced team members. You may also be involved in cleaning and exploring data sets, creating visualizations, and helping automate parts of the data pipeline. Collaborating with data scientists and engineers, you’ll likely participate in team meetings, code reviews, and brainstorming sessions to address real-world business or research challenges. These hands-on experiences are designed to help you build practical skills and gain exposure to the workflow of professional machine learning projects.

More about Undergraduate Machine Learning Internship jobs
What cities are hiring for Undergraduate Machine Learning Internship jobs? Cities with the most Undergraduate Machine Learning Internship job openings:
What states have the most Undergraduate Machine Learning Internship jobs? States with the most job openings for Undergraduate Machine Learning Internship jobs include:
What job categories do people searching Undergraduate Machine Learning Internship jobs look for? The top searched job categories for Undergraduate Machine Learning Internship jobs are:
Infographic showing various Undergraduate Machine Learning Internship job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

Full-time

Posted 13 days ago


Job description

Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
Company:
Mariana Minerals is a software-first critical minerals company that supplies materials essential for modern energy. Founded in 2022, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.