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Computer Vision Remote Jobs in Santa Rosa, CA (NOW HIRING)

Doxel

Full Stack Software Engineer

Bodega Bay, CA · Remote

Doxel brings computer vision and AI to construction, giving teams real-time visibility into ... Remote first culture (for most roles) * Comprehensive Health Insurance (Medical, Dental, Vision)

Agility Robotics

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Strong expertise in core AI domains, including computer vision, reinforcement learning, and large ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

Visual Concepts

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

... Computer Science or equivalent experience in large-scale software development * Experience ... Love for video games (not just ours!) This is a fully remote role that may be based anywhere in the ...

2K

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

... Computer Science or equivalent experience in large-scale software development * Experience ... Love for video games (not just ours!) This is a fully remote role that may be based anywhere in the ...

BKF

Senior Project Engineer - Transportation

Santa Rosa, CA · On-site +1

$10K - $150K/yr

Hybrid or remote work from our Redwood City or Pleasanton offices may be an option for the right ... Must be able to regularly talk, hear and operate a computer, keyboard and mouse and occasionally ...

WEX

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Bachelor's degree in Computer Science or Software Engineering * 5-8 years of professional ...

eNett

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Bachelor's degree in Computer Science or Software Engineering * 5-8 years of professional ...

Block

Senior Software Engineer, Cash App Taxes

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... A Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Block

Senior Software Engineer, Data Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since ...

New

GCX Healthcare Solutions

Software Engineer

Petaluma, CA · Remote

$125K - $150K/hr

Our software team is building IoT solutions that bring these devices online--enabling real-time monitoring, remote management, and operational insights. You'll join a small, high-impact team (3-4 ...

All JobsComputer Vision JobsComputer Vision Remote JobsComputer Vision Remote Jobs in Santa Rosa, CA

Computer Vision Remote information

See Santa Rosa, CA salary details

$13

$22

$34

How much do computer vision remote jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for computer vision remote in Santa Rosa, CA is $22.80, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $25.48 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 job categories do people searching Computer Vision Remote jobs in Santa Rosa, CA look for?

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

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

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

Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $47,419 per year, or $22.8 per hour.

Staff Software Engineer, Full Stack

Bodega Bay, CA • Remote

Doxel
Software Development • 11 - 50 employees
Learn more about Doxelexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 days ago

Job description

Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.

Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.

Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. 

Join us as we continue our journey to transform the $15T Construction Industry!


The Role
As a Lead Software Engineer, you will help define and build the next generation of Doxel’s project management, commissioning, and field-enablement tools—systems trusted by the world’s largest general contractors and owners delivering mega-projects at unprecedented scale.
 
You’ll design and deliver full-stack applications that handle massive volumes of complex field data—including videos, images, structured forms, and IoT device outputs—and transform them into fast, intuitive workflows for both office teams and field workers. You’ll architect mobile and web experiences that make capturing, reviewing, and acting on this data effortless in environments where reliability, speed, and clarity matter.
 
As a technical leader, you’ll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel’s AI and data systems into beautifully executed user experiences. You’ll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices. 
Your Day to Day
  • You will lead the design and development of full-stack applications powering project management, commissioning workflows, and field data capture
  • Build web and mobile tools that make it simple for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
  • Develop intuitive, high-performance UIs that handle complex data streams and large-scale datasets
  • Architect backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
What Success Looks Like
  • Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
  • Driving full stack and mobile engineering best practices including testing, reliability, and performance optimization
  • Mentoring engineers establishing standards, reviewing architecture, and ensuring high-velocity execution
  • Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
  • Being the champion for usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
What You Bring
  • 10+ years of experience building and shipping full-stack web and mobile applications
  • Strong expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, , or similar)
  • Strong backend engineering experience with Typescript, Python, or Java, including API development
  • Experience architecting applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
  • Deep experience building UX for field-facing or operationally critical workflows
  • Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
  • Skills in designing domain-driven data models and working with OLTP/OLAP systems
  • Prior experience leading or mentoring small engineering teams
Preferred Experience
  • Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
  • Background with offline-capable architectures and mobile-first data collection tools
  • Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
  • Exposure to ML/AI-driven feature development
  • Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Benefits & Company Culture
  • Competitive Base Salary + Equity Package
  • Remote first culture (for most roles)
  • Comprehensive Health Insurance (Medical, Dental, Vision)
  • Home Office Stipend
  • Monthly allowance for cell phone and internet
  • Flexible PTO, generous company holiday policy, and unlimited sick days
Pay is based on a variety of factors such as location, skill level, qualifications, competencies, and overall experience.
Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.