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Internship Graduate Machine Learning Jobs in Seattle, WA

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Internship Graduate Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Jun 13, 2026, the average yearly pay for internship graduate machine learning 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 much do ML interns get paid?

Machine Learning interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often last 10 to 12 weeks and may include additional benefits such as mentorship and skill development opportunities.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

What are the big 4 internships?

The big 4 internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide opportunities in areas such as audit, consulting, tax, and advisory services, often targeting students pursuing degrees in business, finance, or related fields. They are highly competitive and often include training, mentorship, and potential pathways to full-time employment.

What are the key skills and qualifications needed to thrive as an Internship Graduate in Machine Learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What are Internship Graduate Machine Learning positions?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do Internship Graduate Machine Learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

Which 5 jobs will survive AI?

Jobs that require complex human judgment, creativity, emotional intelligence, and specialized skills—such as healthcare professionals, data scientists, software developers, educators, and skilled tradespeople—are more likely to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate, especially when combined with continuous learning and adaptability.

Is PG in AI worth it?

A postgraduate degree in AI can enhance qualifications for machine learning internship roles by providing advanced knowledge of algorithms, data analysis, and programming skills. It may improve job prospects and salary potential but is not always mandatory, as practical experience and skills in tools like Python and TensorFlow are highly valued in the field.
What are the most commonly searched types of Graduate Machine Learning jobs in Seattle, WA? The most popular types of Graduate Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Internship Graduate Machine Learning jobs in Seattle, WA? For Internship Graduate Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Internship Graduate Machine Learning jobs in Seattle, WA look for? The top searched job categories for Internship Graduate Machine Learning jobs in Seattle, WA are:
Internship Graduate Machine Learning jobs near you
Infographic showing various Internship Graduate Machine Learning job openings in Seattle, WA as of June 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Research Internship - Reinforcement Learning for Large Foundation Models

Tencent

Bellevue, WA

$80K - $124K/yr

Full-time

Medical

Posted 16 days ago

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.

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