OpenAI
OpenAI

60 Openai Computer Vision Engineer Jobs Hiring Near You

Research Engineer

San Francisco, CA · On-site

$250K - $445K/yr

Be excited about OpenAI's approach to research Nice to have: * Interested in and thoughtful about ... return all computer hardware in your possession (including the data contained therein) upon ...

Be excited about OpenAI's approach to research Nice to have: * Interested in and thoughtful about ... return all computer hardware in your possession (including the data contained therein) upon ...

You're comfortable shipping iteratively while building toward a long-term vision About OpenAI ... return all computer hardware in your possession (including the data contained therein) upon ...

You're comfortable shipping iteratively while building toward a long-term vision About OpenAI ... return all computer hardware in your possession (including the data contained therein) upon ...

Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering ... return all computer hardware in your possession (including the data contained therein) upon ...

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OpenAI Jobs Information

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

Infographic showing various Computer Vision Engineer job openings at Openai in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 68% Physical, 25% Hybrid, and 7% Remote job distribution.
Full Stack Software Engineer, OpenAI Edu

Full Stack Software Engineer, OpenAI Edu

OpenAI

San Francisco, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

About the team

OpenAI's Education team is building products and experiences that help learners, educators, and institutions benefit from AI in ways that are rigorous, useful, and grounded in real learning outcomes.

The work spans both consumer and B2B education, with close collaboration across engineering, learning science, design, data, and research. This team sits in a highly strategic investment area for OpenAI, with strong opportunities to shape how product ideas flow across consumer and institution-facing experiences.

Some of our recent work:

  • New tools for understanding AI and learning outcomes

  • Education for countries

  • Advancements in higher education

  • Early product work - Introducing Study Mode

About the role

We're looking for a product-minded Full Stack Engineer to help build OpenAI's education products from the ground up. You'll own end-to-end development across the stack, from early concepting and prototyping through production launch and iteration.

This is an opportunity to work on a highly strategic, early-stage product area where engineering judgment, product sense, and customer empathy all matter.

You'll partner closely with leaders across the education org, including learning scientists, researchers, designers, and cross-functional partners, to turn emerging ideas into durable product experiences for schools, universities, and other education stakeholders.

In this role, you will:

  • Build and ship product experiences across the full stack for OpenAI's education offerings

  • Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration

  • Work closely with learning scientists and researchers to translate learning goals and evidence into product decisions

  • Collaborate with design, data, and cross-functional partners to build thoughtful, high-quality user experiences

  • Help define the engineering foundation for a growing education pod, including patterns, systems, and technical direction

  • Contribute to products that may inform both consumer and B2B education experiences over time

Your background might look something like:

  • 5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies

  • Former founder, or early engineer at a startup who has built a product from scratch is a plus

  • Proficiency with TypeScript, React, and other web technologies

  • Proficiency in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts

  • Some experience with relational databases like Postgres/MySQL

  • Care deeply about reliability, safety, and performance in production environments.

  • Interest in AI/ML (direct experience not required)

  • Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.

  • Have experience building interactive educational tools or learning products, or are excited to apply your skills in this space

  • Have a strong interest in improving access to education and expanding opportunities for learners worldwide

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $230K - $385K