2

Computer Vision Remote Jobs in Hayward, CA (NOW HIRING)

AI/ML Engineer

San Francisco, CA · On-site +1

$152K - $220K/yr

Strong background in Computer Vision (CV), Core Deep Learning, and Neural Architectures ... This role is fully remote within the United States. Our headquarters are based in beautiful San ...

AI/ML Engineer

San Francisco, CA · On-site +1

$152K - $220K/yr

Strong background in Computer Vision (CV), Core Deep Learning, and Neural Architectures ... This role is fully remote within the United States. Our headquarters are based in beautiful San ...

Director of Engineering

San Francisco, CA · On-site +1

$215K - $235K/yr

Fully remote, with Silicon Valley roots and team members in over 20 states, Zignal serves customers ... e.g., LLMs, computer vision, narrative detection) within high-performance, enterprise-ready ...

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Senior Software Engineer

Mountain View, CA · On-site +1

$170K - $230K/yr

Our fully autonomous Corvus One™ drones use computer vision & robotics to automatically track ... Travel with the CEO to customer sites to learn from user feedback This role is hybrid or remote (US ...

Field Sales Engineer

Santa Clara, CA · On-site +1

$100K - $500K/yr

This role is remote based out of North America with preference near one of our main hubs Santa ... computer vision, PyTorch or TensorFlow. * Experience with embedded systems, FPGA Architecture or AI ...

Showing results 21-40

Computer Vision Remote information

See Hayward, CA salary details

$14

$23

$35

How much do computer vision remote jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for computer vision remote in Hayward, CA is $23.91, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $26.73 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 the most commonly searched types of Computer Vision jobs in Hayward, CA?

The most popular types of Computer Vision jobs in Hayward, CA are:

What are popular job titles related to Computer Vision Remote jobs in Hayward, CA?

For Computer Vision Remote jobs in Hayward, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Hayward, CA look for?

The top searched job categories for Computer Vision Remote jobs in Hayward, CA are:

What cities near Hayward, CA are hiring for Computer Vision Remote jobs?

Cities near Hayward, CA with the most Computer Vision Remote job openings:

Infographic showing various Computer Vision Remote job openings in Hayward, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $49,725 per year, or $23.9 per hour.

Sr. Machine Learning Engineer, Applied Science

Pinterest

San Francisco, CA • On-site, Remote

$161K - $332K/yr

Full-time

Re-posted 28 days ago


Job description

About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.
We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you'll get to work with Pinterest's rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways.
What you'll do:
  • Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We're looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
  • 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 diffusion models.
  • 5+ 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.

#LI-REMOTE
#LI-AK7
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$161,263-$332,012 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.