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Machine Learning Engineer Intern Jobs in Seattle, WA

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Expedia

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

This Senior Machine Learning Engineer role is part of the Distribution & Supply team which sits within our Technology division. The Distribution & Supply team builds and optimizes the machine ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Remitly

Staff Machine Learning Engineer

Seattle, WA · On-site

$208K - $260K/yr

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Snapchat

Machine Learning Engineer, Level 5

Seattle, WA · On-site

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Axon

Senior Machine Learning Engineer

Seattle, WA

$139K - $183K/yr

As a Machine Learning Engineer at Axon , you'll help build AI solutions that are transforming public safety and advancing our mission to Protect Life . You'll work alongside talented ML engineers and ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Seattle, WA

Machine Learning Engineer Intern information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do machine learning engineer intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer intern in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Seattle, WA?

The most popular types of Machine Learning Engineer jobs in Seattle, WA are:

What are popular job titles related to Machine Learning Engineer Intern jobs in Seattle, WA?

For Machine Learning Engineer Intern jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Seattle, WA look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Machine Learning Engineer Intern jobs?

Cities near Seattle, WA with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Machine Learning Engineer

Seattle, WA • On-site

Zoom Video Communications, Inc.
5 - 10K employees
Learn more about Zoom Video Communications, Inc.external

$183K - $275K/yr

Full-time

Re-posted 21 days ago

Job description

Immigration sponsorship is not available for this position
Responsibilities:
  • Design, implement, and optimize GenAI algorithms, techniques and solutions to address complex
  • business challenges.
  • Collaborate with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.
  • Participate in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
  • Identify opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.
  • Stay up to date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.

What we're looking for:
Requires a Bachelor's degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent. Must have 3 years of experience in job offered or related occupation. Must have 3 years of experience in the following skills:
  • Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems;
  • Deep learning frameworks including PyTorch and TensorFlow;
  • Presenting academic or personal AI projects;
  • Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences;
  • Agentic AI including LLM driven AI agents, agentic RAG;
  • Building scalable, maintainable, and production-ready machine learning systems; and
  • Analyzing data and troubleshooting issues related to deployed AI systems.
  • Telecommuting work arrangement permitted one day per week. Four days in office required. Position does not require domestic or international travel.

In Lieu of a Bachelor's degree and 3 years of experience the company will accept the following: Must have Master's degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent. Must have 1 years of experience in job offered or related occupation. Must have 1 years of experience in the following skills:
  • Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems;
  • Deep learning frameworks including PyTorch and TensorFlow;
  • Presenting academic or personal AI projects;
  • Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences;
  • Agentic AI including LLM driven AI agents, agentic RAG;
  • Building scalable, maintainable, and production-ready machine learning systems; and
  • Analyzing data and troubleshooting issues related to deployed AI systems.
  • Telecommuting work arrangement permitted one day per week. Four days in office required. Position does not require domestic or international travel.

Zoom Communications, Inc.
#LI-DNI
#Ind0
Salary Range or On Target Earnings:
Minimum:
$183,600.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application - take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

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