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

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

Intern - ML Engineering

Seattle, WA · On-site

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

Summer 2026 Intern

Seattle, WA · On-site

$40 - $45/hr

As an AI Software Engineering Intern, you will work alongside experienced engineers to improve AI ... You'll gain hands-on experience building scalable machine learning workflows, AI infrastructure ...

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Showing results 1-20

Machine Learning Intern information

See Seattle, WA salary details

$29K

$48.5K

$100.2K

How much do machine learning intern jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning intern in Seattle, WA is $48,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,400.00 per year, depending on experience, location, and employer.

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.

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 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 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 are the most commonly searched types of Machine Learning jobs in Seattle, WA? The most popular types of Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Machine Learning Intern jobs in Seattle, WA? For Machine Learning Intern jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Seattle, WA look for? The top searched job categories for Machine Learning Intern jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Machine Learning Intern jobs? Cities near Seattle, WA with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Seattle, WA as of May 2026, with employment types broken down into 13% Internship, 68% Full Time, 13% Part Time, and 6% Temporary. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $48,489 per year, or $23.3 per hour.

Research Internship - Reinforcement Learning for Large Foundation Models

Tencent

Bellevue, WA

$80.17K - $124.80K/yr

Full-time

Medical

Posted yesterday


Job description

Business UnitWhat the Role EntailsAbout Tencent AI Lab at Seattle Area
Tencent is a leading internet company in China. Tencent AI Lab at Seattle Area was established in May 2017. The lab strives to continuously improve AI's capability in perception, cognition, and creativity. Researchers there aim at solving challenging real-world problems with advanced technologies and publish extensively at top conferences and journals.
Research Internship - Reinforcement Learning for Large Foundation Models

Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models. The lab's long-term ambition is to drive the development of Artificial General Intelligence (AGI), and ultimately, Artificial Superintelligence (ASI). We are currently seeking research interns for the year of 2026, in the area of reinforcement learning (RL) for large foundation models, with an emphasis on developing stable and efficient RL algorithms. The goal is to empower large foundation models in complex reasoning ang agent tasks and enhance their capabilities in autonomous exploration and continuous learning. Our Seattle area office is located in Bellevue WA.

Every research intern will work with researchers on a research project aimed at attacking one of the core problems on the design and optimization of RL algorithms for large foundation models. Research areas include but are not limited to Reinforcement Learning Algorithms, Reward Modeling, and World Models. We will conduct large-scale experiments of RL algorithms in scenarios such as complex reasoning and autonomous agents, deliver impactful algorithms for real world applications, and publish influential research papers.

Who We Look For
Requirements & Qualifications

The ideal intern candidates are those who

  • Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university,
  • are self-motivated and excited about developing novel techniques,
  • have research experiences in natural language processing or machine learning,
  • are proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch.
  • have good publication track records and history of creativity and intellectual flexibility,
  • have excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation.
  • Intern duration: 3 months (with the possibility of extension). Can start any time in the year 2026.

Location State(s)

US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.