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Computer Vision Remote Jobs in San Ramon, CA (NOW HIRING)

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How much do computer vision remote jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for computer vision remote in San Ramon, CA is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $26.06 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are popular job titles related to Computer Vision Remote jobs in San Ramon, CA? For Computer Vision Remote jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Remote jobs in San Ramon, CA look for? The top searched job categories for Computer Vision Remote jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Computer Vision Remote jobs? Cities near San Ramon, CA with the most Computer Vision Remote job openings:
Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $48,469 per year, or $23.3 per hour.

Manager II, Machine Learning Engineering, Core Engineering

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Re-posted 4 hours ago

Job description

Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.


What you'll do:

  • Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability
  • Deeply understand the Pinterest product and drive the vision for the  team, ensuring the team's work directly contributes to the company's goals
  • Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates
  • Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding
  • Provide visibility to senior leadership regarding the team's global impact
  • Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest
  • Build a culture of excellence and expertise within the team


What we're looking for:

  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience
  • Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology
  • Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus
  • Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
  • Strong focus on product impact and user experience within a consumer-focused environment
  • Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
  • 8+ years of experience in software development, with a proven track record of delivering impactful solutions
  • Nice to have: 
    • Experience with 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

Relocation Statement:

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

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.

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