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Machine Learning Intern Jobs in Renton, WA (NOW HIRING)

Microsoft

Research Intern - Deep Learning Group

Redmond, WA · On-site

$8.7K - $14K/mo

As a Research Intern with the Deep Learning group, you will have the opportunity to collaborate with an accomplished machine learning group at a world-class research organization. You are encouraged ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Renton, WA

Machine Learning Intern information

See Renton, WA salary details

$28.7K

$47.9K

$99K

How much do machine learning intern jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning intern in Renton, WA is $47,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,600.00 and $51,700.00 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 are the most commonly searched types of Machine Learning jobs in Renton, WA? The most popular types of Machine Learning jobs in Renton, WA are:
What are popular job titles related to Machine Learning Intern jobs in Renton, WA? For Machine Learning Intern jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Renton, WA look for? The top searched job categories for Machine Learning Intern jobs in Renton, WA are:
What cities near Renton, WA are hiring for Machine Learning Intern jobs? Cities near Renton, WA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Renton, WA as of June 2026, with employment types broken down into 2% Internship, 11% Full Time, and 87% Part Time. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $47,899 per year, or $23 per hour.

Machine Learning Experts - PhD - AI Training - US

Prolific Academic Ltd

Seattle, WA • On-site, Remote

$150/hr

Full-time

Posted 10 days ago

Job description

Machine Learning Experts - PhD - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for ML / AI experts to help train and evaluate cutting-edge AI models. For this project we are seeking PhD holders who are comfortable narrating their approach to solving complex problems.

If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • A PhD (or PhD candidacy) in Machine Learning, Artificial Intelligence or a related discipline
  • Strong subject matter expertise and ability to work through complex, technical problems
  • Experience with or a strong interest in AI and machine learning is a bonus
  • Willingness to narrate your thinking out loud
  • Strong attention to detail
  • Reliable, fast internet connection and access to a computer
  • A PayPal account to receive payments from our clients
What you'll be doing in the role
  • Working through complex problems and tasks while narrating your reasoning process out loud
  • Screen-recording your approach to problems and tasks
  • Reviewing and evaluating AI-generated responses to technical problems, rating them for accuracy, depth, and reasoning quality
  • Comparing multiple model answers and selecting/justifying the best response
  • Writing improved exemplars, rationales, or structured feedback when models fall short
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Sign up directly here - https://app.prolific.com/register/participant/waitlist/?campaign_code=CGT9PJQK

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.