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What types of projects and daily tasks can I expect during a Computer Vision internship?

As a Computer Vision intern, you can expect to work on projects involving real-world image and video data, such as developing object detection models, data annotation, and helping improve existing algorithms. Daily tasks often include coding, running experiments, analyzing model performance, and collaborating with data scientists and software engineers. You may participate in team meetings, present your findings, and receive mentorship on best practices in both research and development. This hands-on experience provides a valuable opportunity to build your technical skills and gain insight into how computer vision applications are developed and deployed in industry.

What is an Internship Computer Vision job?

An Internship in Computer Vision involves working on projects related to image processing, machine learning, and AI-driven visual recognition. Interns typically assist in developing algorithms for object detection, image segmentation, and pattern recognition. They may work with deep learning frameworks like TensorFlow or OpenCV to train models on large datasets. This role provides hands-on experience in applying computer vision techniques to real-world problems, preparing interns for careers in AI and machine learning.

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

To thrive as an Internship Computer Vision candidate, you should have a solid understanding of image processing, machine learning fundamentals, and proficiency in programming languages such as Python or C++. Familiarity with computer vision libraries like OpenCV, TensorFlow, or PyTorch, as well as coursework or certifications in artificial intelligence, is highly valued. Strong problem-solving skills, willingness to learn, and effective communication abilities are key soft skills that help interns excel. These competencies are essential for contributing to projects, integrating with teams, and adapting to the fast-evolving field of computer vision.

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Internship Computer Vision jobs near you
Machine Learning Engineer II, Computer Vision Applied Science

Machine Learning Engineer II, Computer Vision Applied Science

Pinterest

San Francisco, CA • On-site, Remote

$114K - $157K/yr

Other

Posted 2 days ago

Job description

The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.

Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.

What you'll do:

  • Prototype new model architectures for Pinterest VLMs. We're looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
  • Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
  • Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
  • Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
  • Publish and publicize your work via conferences, paper submissions, blog posts, etc. 
  • Mentor more junior researchers or research interns within the Pinterest Labs organization.


What we're looking for:

  • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
  • 2+ years of industry computer vision experience.
  • M.S. or PhD in Machine Learning, Computer Science, or related areas.


Nice to Have:

  • Publications at top ML conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

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 will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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