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Startup Machine Learning Intern Jobs in Seattle, WA

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Orchard

Machine Learning Engineer

Seattle, WA · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ...

Amazon

Machine Learning Scientist - GenAI, KIT

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life ... science, machine learning, robotics, operations research, statistics, mathematics or equivalent ...

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All JobsStartup Machine Learning Intern JobsStartup Machine Learning Intern Jobs in Seattle, WA

Startup Machine Learning Intern information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Aug 15, 2026, the average yearly pay for startup machine learning 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 are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

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

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

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

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

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

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

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

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

Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 34% Internship, 40% Full Time, 8% Part Time, 6% Temporary, and 12% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

ML PhD Intern - LLMs & Generative AI

Truveta

Seattle, WA • On-site

Internship

Re-posted 26 days ago

Job description

ML PhD Intern - LLMs & Generative AI
Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the internship program requires that you are physically present in the United States for the duration of the internship. #LI-remote
Who We Need
We are seeking a highly motivated and talented Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
Internship Details
Our Research PhD Internship is designed for candidates who have finished their classes and are working only on research work to complete their PhD. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our internships are designed to be a minimum of 10 weeks with the opportunity to extend beyond the initially agreed term based on the company's needs and the candidate's desires.
This Opportunity
We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.
In this role, you will:
  • Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
  • Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
  • Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
  • Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
  • Deliver the next generation of innovation in trustworthy healthcare.

Key Qualifications
  • Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
  • Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
  • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
  • Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
  • Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
  • Strong communication skills and the ability to work effectively in a collaborative research environment

Preferred Qualifications
  • Experience with distributed parallel training, large-scale multi-modal foundation and generative models
  • Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
  • Familiarity with training multi-modal foundation models
  • Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
  • A track record of publications and contributions to the machine learning and natural language processing communities

This internship opportunity offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We offer:
  • Competitive compensation
  • Company-issued laptop and equipment
  • Opportunities for future full-time positions
  • The hourly pay for this position is $45

Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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