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Computer Vision Intern Jobs in Seattle, WA (NOW HIRING)

Sunbelt Controls

Intern (Sunbelt Controls)

Seattle, WA · On-site

$18 - $25/hr

Shows a knack for using emotion and logic to communicate a persuasive vision and connect with ... operate computer keyboard and telephone, talk and hear. * Lift and/or move up to 50 lbs ...

BRPH

Structural Engineer

Lynnwood, WA

$81K - $105K/yr

Uses computer assisted engineering and design software to prepare engineering calculations and ... of Engineering Intern Salary Range: $81,000 - $105,000 Physical Requirements Specific vision ...

Coda Care

Removal Technician

Kent, WA · On-site

$24 - $25/hr

... vision and values. * Offer emotional support to grieving families as needed. * Assure accurate ... Washington State licensed funeral director intern is desirable. * Bachelor's or Master's Degree in ...

Coda Care

Removal Technician

Kent, WA · On-site

$24 - $25/hr

... vision and values. * Offer emotional support to grieving families as needed. * Assure accurate ... Washington State licensed funeral director intern is desirable. * Bachelor's or Master's Degree in ...

Coda Care

Removal Technician - Overnights

Kent, WA · On-site

$25/hr

... vision and values. * Offer emotional support to grieving families as needed. * Assure accurate ... Washington State licensed funeral director intern is desirable. * Bachelor's or Master's Degree in ...

Coda Care

Removal Technician - Overnights

Kent, WA

$25/hr

... vision and values. * Offer emotional support to grieving families as needed. * Assure accurate ... Washington State licensed funeral director intern is desirable. * Bachelor's or Master's Degree in ...

Coda Care

Removal Technician - Evening Shift

Kent, WA · On-site

$24/hr

... vision and values. * Offer emotional support to grieving families as needed. * Assure accurate ... Washington State licensed funeral director intern is desirable. * Bachelor's or Master's Degree in ...

Coda Care

Removal Technician - Evening Shift

Kent, WA · On-site

$24/hr

... vision and values. * Offer emotional support to grieving families as needed. * Assure accurate ... Washington State licensed funeral director intern is desirable. * Bachelor's or Master's Degree in ...

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Showing results 1-20

All JobsComputer Vision Intern JobsComputer Vision Intern Jobs in Seattle, WA

Computer Vision Intern information

See Seattle, WA salary details

$22.7K

$105.7K

$213.2K

How much do computer vision intern jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer vision intern in Seattle, WA is $105,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,362.00 and $158,017.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computer Vision Intern position, and why are they important?

To thrive as a Computer Vision Intern, you need a solid understanding of image processing, machine learning, and programming languages like Python or C++, typically supported by coursework in computer science or related fields. Familiarity with libraries such as OpenCV, TensorFlow, or PyTorch, and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving abilities, teamwork, and effective communication skills will help you succeed in collaborative environments. These competencies are crucial for developing innovative computer vision applications, effectively contributing to project goals, and learning from experienced colleagues.

What is a Computer Vision Intern job?

A Computer Vision Intern is a student or entry-level professional who assists in developing and implementing computer vision algorithms. Their work typically involves image processing, machine learning, and deep learning techniques to analyze visual data. Interns may contribute to data collection, model training, and fine-tuning neural networks. They often work with programming languages like Python and frameworks such as OpenCV, TensorFlow, or PyTorch. This role provides hands-on experience in applying AI to real-world visual tasks like object detection, image recognition, and video analysis.

What are some typical projects or tasks a Computer Vision Intern might work on?

As a Computer Vision Intern, you may assist in developing algorithms for object detection, image segmentation, or pattern recognition, often working with large datasets to train and test models. Tasks can include data annotation, preprocessing images, building and fine-tuning neural networks, and evaluating model performance. Interns often collaborate closely with software engineers, data scientists, and senior researchers to solve real-world problems and enhance the company's technology stack. This hands-on experience provides valuable exposure to industry-standard tools and methodologies, laying a strong foundation for future roles in AI and computer vision.

What are the most commonly searched types of Computer Vision jobs in Seattle, WA? The most popular types of Computer Vision jobs in Seattle, WA are:
What are popular job titles related to Computer Vision Intern jobs in Seattle, WA? For Computer Vision Intern jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Intern jobs in Seattle, WA look for? The top searched job categories for Computer Vision Intern jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Computer Vision Intern jobs? Cities near Seattle, WA with the most Computer Vision Intern job openings:
Computer Vision Intern jobs near you
Infographic showing various Computer Vision Intern job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $105,720 per year, or $50.8 per hour.
ML PhD Intern - LLMs & Generative AI

ML PhD Intern - LLMs & Generative AI

Truveta

Seattle, WA • On-site

Internship

Re-posted 24 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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