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Machine Learning Intern Jobs (NOW HIRING)

PlusAI

Deep Learning Intern

Santa Clara, CA

$19 - $65/hr

Join our dynamic team at Plus as a Perception Intern and immerse yourself in the cutting-edge world ... Knowledge and/or experience with Machine Learning/Deep Learning * Experience in 3D computer vision ...

dbi

Alterations Intern

Scottsdale, AZ

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

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Machine Learning Intern information

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$25.5K

$42.6K

$88K

How much do machine learning intern jobs pay per year?

As of Jul 27, 2026, the average yearly pay for machine learning intern 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 are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What cities are hiring for Machine Learning Intern jobs? Cities with the most Machine Learning Intern job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
Who are the top companies hiring for Machine Learning Intern jobs? The top employers for Machine Learning Intern jobs are:
What states have the most Machine Learning Intern jobs? States with the most job openings for Machine Learning Intern jobs include:
What job categories do people searching Machine Learning Intern jobs look for? The top searched job categories for Machine Learning Intern jobs are:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 1% As Needed, 51% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Autonomous Driving - Internship in Machine Learning

Bosch Group

Sunnyvale, CA • On-site

Full-time, Internship

This job post has expired today. Applications are no longer accepted.

Job description

Company Description

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.


Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch

• Reinvent yourself: At Bosch, you will evolve.
• Discover new directions: At Bosch, you will find your place.
• Balance your life: At Bosch, your job matches your lifestyle.
• Celebrate success: At Bosch, we celebrate you.
• Be yourself: At Bosch, we value values.
• Shape tomorrow: At Bosch, you change lives.

Autonomous Driving – Internship in Machine Learning

At Bosch, “Invented for Life” is what drives us and our vision of global future mobility. Bosch has an outstanding track record on pioneering key technologies worldwide which shapes the way we move. The next big milestone in our sight is to make autonomous vehicles a reality, bringing its benefits to today's roads.

We are looking for students in the machine learning and software development space who are interested in solving the hardest problems in the development and productization of automated driving with us.

Job Description

We are looking for an accomplished student in the ML space with strong technical skills to work with us on the design, implementation, training and roll-out the next generation of AI-enabled robotics test system, a core component of the realization of self-driving vehicles. As an intern on the team, you will be working on all important aspects of the implementation to enable our R&D teams.

Responsibilities include:

  • Design, implement and roll-out important aspects of our state-of-the-art robotics test framework, enabling the execution of sophisticated test campaigns on various hardware setups
  • Define and execute the integration of AI features for test management and execution
  • Work on data pipelines, model training and validation, and performance evaluation
  • Support the integration and testing of our framework, as well as its continuous operation in production
  • Continuously drive innovation by bringing the latest developments in academia to the table and evaluate them as potential candidate for the next version
Qualifications

Qualifications:

At least a Bachelor's degree in CS, CE, E/E or comparable related to ML/AI

  • Strong coding skills in python
  • Hands-on experience with Pytorch for model development, training and testing in a Linux environment
  • Solid understanding of machine learning fundamentals and hands-on experience with training and fine-tuning models.
  • Strong understanding of the machine learning lifecycle—from data preprocessing and model training to evaluation, deployment, and monitoring
  • Experience with state-of-the-art model architectures, including transformers, CNNs, LSTMs, RAG…
  • Familiarity with raw data as well as meta-data management system (e.g. Databricks)
  • Experience with machine learning platforms like Azure ML
  • Usage of modern API frameworks as well as MCP servers
  • Strong communication and team collaboration skills
  • Minimum GPA of 3.0


Bonus points:

  • Familiarity with open-source Robot Framework
  • Understanding of the technologies behind self-driving vehicles and/or general robotics
  • Familiarity with agile working methodologies and tools (e.g. ADO)
  • Strong feel of ownership for high quality results

Additional Information

Equal Opportunity Employer, including disability / veterans 

The U.S. base salary range for this intern position is $34.00-$68.00 per hour. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.