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

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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 10, 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.
Research Scientist Intern, 3D Vision & World Simulation (PhD)

Research Scientist Intern, 3D Vision & World Simulation (PhD)

Meta

Redmond, WA

Internship

Posted 4 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

131st of 205 rated software companies

Job description

Reality Labs Research is seeking a Research Scientist Intern to help develop the next generation of assistance systems that guide users in contextual and adaptive environments. We welcome candidates with expertise in AI-driven 3D spatial understanding and generative modeling, building and iterating on deep learning systems, with specific experience at the intersection of generative AI (e.g., diffusion models), world simulation (predicting physics and future states), and 3D computer vision (reconstruction, camera geometry, depth estimation, motion/trajectory forecasting).Our internship is for Fall 2026 and is twelve (12) to twenty-four (24) weeks long.
Research Scientist Intern, 3D Vision & World Simulation (PhD) Responsibilities:
  • Develop, implement, and evaluate methods for improving the performance and interpretability of VLMs and related AI/ML models.
  • Write modular, reusable research code and utilize Meta’s large infrastructure to scale experimentation.
  • Collaborate cross-functionally with researchers and engineers to prototype and test models at scale.
  • Deliver clear, compelling, and creative solutions to challenging problems.
  • Work should result in publishable research in top-tier journals or conferences (e.g., NeurIPS, ICLR, CVPR, ECCV, ICML, ICCV, AAAI, IJCAI, ICRA, IEEE T-PAMI, IJCV, IEEE RA-L etc.).
  • Design and develop generative AI models (e.g., diffusion models) to learn environment dynamics, predict future states, and simulate physical interactions within world modeling frameworks.
  • Build and advance 3D computer vision and reconstruction pipelines, leveraging camera geometry, depth estimation, and related techniques to create accurate representations of real-world environments.
  • Research and implement methods for 3D spatial understanding, including motion forecasting and trajectory prediction, to enable intelligent reasoning about how objects and agents move through space.

Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD in Computer Science, Artificial Intelligence, Robotics, or related field
  • Strong programming proficiency in Python and extensive hands-on experience building, training, and debugging deep learning models using PyTorch
  • Experience with generative AI architectures (e.g., diffusion models) and world modeling concepts (e.g., learning environment dynamics, predicting future states, or simulating physical interactions)
  • Solid foundation in 3D computer vision and 3D reconstruction, including core concepts like camera geometry and depth estimation
  • Experience working with 3D spatial data, motion forecasting, or trajectory prediction

Preferred Qualifications:
  • Practical experience with advanced generative frameworks, specifically flow-matching or Diffusion Transformers (DiTs)
  • Hands-on experience with modern 3D representations like 3D Gaussian Splatting (3DGS) and forecasting dense 3D point trajectories in physical world coordinates
  • Background in robotics planning and manipulation, with experience transferring learned representations to downstream tasks like closed-loop pick-and-place or real-world robot control
  • Familiarity with large Vision-Language Models (VLMs) and their application in object grounding, understanding natural language instructions, and processing multi-modal tokens
  • Knowledge of extending world models to physical applications, such as latent-action world models or trajectory-conditioned video generation
  • A proven track record of academic research, demonstrated by publications in top-tier conferences (e.g., CVPR, ICCV, ECCV, ICLR, NeurIPS, ICRA, RSS) in areas related to 3D vision, generative modeling, or robot learning
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Intent to return to degree-program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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