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Internship For Machine Learning Jobs (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... This role is ideal for students or entry level candidates in STEM fields who are passionate about ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... This role is ideal for students or entry level candidates in STEM fields who are passionate about ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

None Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team. This position is hybrid in Arlington, VA with 2 ...

1872 Consulting

Machine Learning Engineer

Reston, VA

Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you ... If you are a Software Engineer passionate for technology who wants to work with a mature, intensely ...

Samprasoft

Machine Learning Engineer

Mclean, VA

In this position, you will be responsible for taking on new initiatives to design, build, and deploy machine learning models in a client solution-oriented environment. As a member of our team, you ...

ManTech

Machine Learning Engineer

Herndon, VA

Experience creating, maintaining, and communicating complex technical documentation for machine learning systems. Preferred Qualifications: * Experience with the Sponsor's primary cyber risk and ...

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

True Anomaly is a company focused on delivering technology for space superiority. They are seeking ... Preferred : • Internship, research, or project experience applying ML to real-world or research ...

Avita Care Solutions

Machine Learning Engineer

The Machine Learning Engineer will design scalable ML solutions to enhance patient outcomes and ... CI/CD for ML, model versioning, experiment tracking, performance monitoring, and automated ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC

Build and maintain systems and pipelines that support training, evaluation, and inference for machine learning models * Contribute to deploying machine learning models into production environments ...

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Internship For Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Jun 16, 2026, the average yearly pay for internship for machine learning 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 types of projects and responsibilities can I expect during a Machine Learning internship?

As a Machine Learning intern, you'll typically work on data preprocessing, exploratory data analysis, model development, and performance evaluation under the guidance of experienced engineers or data scientists. Your daily tasks might include cleaning datasets, experimenting with different algorithms, and collaborating with team members to refine models for real-world applications. Interns often participate in regular team meetings, code reviews, and may present findings to stakeholders. This hands-on experience not only builds your technical skills but also helps you understand how machine learning solutions are integrated into business processes.

What are the key skills and qualifications needed to thrive as an Intern for Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of mathematics, statistics, and programming languages such as Python, supported by coursework or a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are typically expected. Analytical thinking, curiosity, and effective communication help interns excel in collaborative, fast-paced environments. These skills enable interns to contribute meaningfully to projects, learn quickly, and adapt to evolving challenges in machine learning.

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

AspectInternship For Machine LearningData Science Intern
Required SkillsProgramming (Python, R), ML algorithms, data preprocessingStatistics, data analysis, programming, visualization
Work EnvironmentDeveloping ML models, algorithm tuning, model deploymentData analysis, reporting, insights generation
Industry UsageTech, AI startups, research labsBusiness, finance, healthcare, tech

Internship For Machine Learning focuses on developing and deploying machine learning models, requiring skills in algorithms and programming. Data Science Internships emphasize analyzing data, generating insights, and reporting. Both roles often overlap but serve different core functions within data-driven projects.

What is an internship for machine learning?

An internship for machine learning is a temporary position offered to students or recent graduates who want to gain practical experience working with machine learning algorithms, models, and data. Interns typically work under the supervision of experienced engineers or data scientists and are involved in tasks such as data preprocessing, building and training models, and evaluating their performance. These internships provide hands-on exposure to tools, libraries, and real-world projects, helping interns develop valuable technical and problem-solving skills. Machine learning internships are commonly found in tech companies, research labs, and startups.
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What cities are hiring for Internship For Machine Learning jobs? Cities with the most Internship For Machine Learning job openings:
What job categories do people searching Internship For Machine Learning jobs look for? The top searched job categories for Internship For Machine Learning jobs are:
Internship For Machine Learning jobs near you
Infographic showing various Internship For Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer Intern

Machine Learning Engineer Intern

Neuralink

South San Francisco, CA • On-site

$35/hr

Full-time, Internship

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI).
Job Description and Responsibilities:
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.
Required Qualifications:
  • Evidence in delivering high-impact projects either in academia or industry
  • Prior experience designing and building Machine Learning models
  • Deep understanding of machine learning concepts and fundamentals
  • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
  • Excellent communication and collaboration skills
  • Strong coding skills, with a focus on clean, efficient, and scalable code development

Preferred Qualifications:
  • Experience working with time series or unstructured data

Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Rate:
$35/Hr USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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