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Machine Learning Developer Intern Jobs in Seattle, WA

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site

$143K - $214K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Interface closely with the Backend and DevOps teams as well as with our internal data labeling ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Interface closely with the Backend and DevOps teams as well as with our internal data labeling ...

Factspan Inc

Machine Learning Engineer

Seattle, WA

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Adobe

Machine Learning Engineer

Seattle, WA · On-site

$93K - $125K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building ...

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

Machine Learning Developer Intern information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Jul 9, 2026, the average yearly pay for machine learning developer 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.

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

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

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Seattle, WA are hiring for Machine Learning Developer Intern jobs? Cities near Seattle, WA with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you
PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender Systems)

PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender Systems)

Pinterest

Seattle, WA • On-site

Other

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

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.


What you'll do:

  • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
  • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
  • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
  • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
  • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
  • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  • Write clean, efficient, and sustainable code
  • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers


What we're looking for:

  • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.
  • Ability to legally work full time (40 hours/week) from September-December 2026
  • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
  • Proficiency with AI-native engineering, including the design of agent-friendly codebases.
  • High degree of autonomy in learning new agent-first development tools.
  • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
  • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
  • Experience in research and in solving analytical problems
  • Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

    • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    • Strong passion for research and for answering hard questions with research
    • Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

  • Meaningful Work: Contribute to projects that impact millions of users worldwide.
  • Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.


In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.


US based applicants only

The salary for this position is $12,100 monthly.

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Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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