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Computer Vision Startup Jobs (NOW HIRING)

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

... in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve ...

Brachium

Robotics Vision Engineer

San Ramon, CA

... in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

... in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

At Matroid, we're building an intuitive product that allows anyone to train and deploy computer ... You have experience at a high-growth technology startup. * You have a high-level understanding of ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

At Matroid, we're building an intuitive product that allows anyone to train and deploy computer ... You have experience at a high-growth technology startup. * You have a high-level understanding of ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

At Matroid, we're building an intuitive product that allows anyone to train and deploy computer ... You have experience at a high-growth technology startup. * You have a high-level understanding of ...

Clera

Founding Engineer (Applied AI)

San Francisco, CA · On-site

$100K - $180K/yr

Apply the latest computer vision, LLM, and AI techniques to real construction documents (blueprints ... Prior founder or startup experience -- you've built something people used or paid for * Background ...

Clera

Founding Engineer (Applied AI)

San Francisco, CA · On-site

$100K - $180K/yr

Apply the latest computer vision, LLM, and AI techniques to real construction documents (blueprints ... Prior founder or startup experience - you've built something people used or paid for * Background ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA

$150K - $220K/yr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA

$80 - $150K/hr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun ...

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Computer Vision Startup information

See salary details

$33.5K

$48.3K

$63.5K

How much do computer vision startup jobs pay per year?

As of Jul 21, 2026, the average yearly pay for computer vision startup in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

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

To thrive in a Computer Vision Startup, a strong background in computer science, machine learning, and image processing, typically supported by experience with deep learning frameworks and advanced mathematics, is essential. Proficiency with tools such as Python, OpenCV, TensorFlow, and PyTorch, as well as experience with cloud platforms and MLOps, are typically required. Strong problem-solving abilities, adaptability, and effective communication skills are valuable soft skills for navigating the dynamic environment of a startup. These competencies enable rapid innovation, effective teamwork, and successful development of cutting-edge vision applications in a competitive tech landscape.

What is a Computer Vision Startup job?

A Computer Vision Startup job typically involves developing and deploying AI-powered solutions that enable machines to interpret and analyze visual data. Roles in this field may include research, software engineering, data annotation, and model training. Employees often work with deep learning frameworks, image processing techniques, and large datasets to improve computer vision algorithms. Since startups emphasize innovation, team members are expected to be adaptable, collaborative, and proactive in problem-solving.

What are some common day-to-day responsibilities for professionals working at a Computer Vision Startup?

Day-to-day responsibilities at a Computer Vision Startup often include researching and prototyping new algorithms, training and evaluating deep learning models, and collaborating closely with multidisciplinary teams such as product managers and software engineers. You may also be involved in data collection, preprocessing, performance benchmarking, and deploying models to production environments. Regular participation in code reviews, sprint planning, and technical discussions is common. This dynamic environment encourages rapid iteration and creative problem-solving as you help bring innovative computer vision solutions to market.

More about Computer Vision Startup jobs
What cities are hiring for Computer Vision Startup jobs? Cities with the most Computer Vision Startup job openings:
What states have the most Computer Vision Startup jobs? States with the most job openings for Computer Vision Startup jobs include:
What job categories do people searching Computer Vision Startup jobs look for? The top searched job categories for Computer Vision Startup jobs are:
Computer Vision Startup jobs near you
Infographic showing various Computer Vision Startup job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Senior Machine Learning Engineer, Computer Vision

Senior Machine Learning Engineer, Computer Vision

Overwatch Imaging

Hood River, OR • On-site

$165K - $190K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 14 days ago

Job description

About Overwatch:
Overwatch Imaging is an imagery intelligence technology company working to bring sensor autonomy to time-critical airborne search, detection, tracking and monitoring missions. Our Automated Sensor Operator (ASO) software, native to our own line of purpose-built Smart Sensors and as an upgrade for airborne video gimbal platforms, brings Superhuman Vision and Workload Reduction to users of real-time imagery intelligence systems. We fundamentally believe that modern edge processing and AI-enabled autonomy can perform an important set of time-critical imagery intelligence missions better, faster and more safely than humans can alone.
Founded in 2016 in Hood River, Oregon, we support private sector companies as well as federal, state and local agencies around the world with missions ranging from wildfire mapping and disaster response to law enforcement, border security, maritime domain awareness and tactical intelligence.
About this Role:
Join our dynamic team to build, maintain, and optimize the end-to-end data and model pipelines that power our core Artificial Intelligence systems. This is a hands-on role perfect for an ambitious engineer who is passionate about taking raw data through the entire lifecycle, from scraping and wrangling to production-ready, trained models.
This role is remote-friendly, with a preference for candidates who can spend occasional time onsite in Hood River, OR.
What You'll Do:
  • MLOps and Training Infrastructure
    • Design and improve training pipelines to support faster, continuous model iteration
    • Enable scalable experimentation across datasets, model architectures, and training strategies
    • Improve reproducibility, experiment tracking, and comparison of training runs
  • Data Pipelines and Dataset Quality
    • Build and refine workflows for:
      • Data indexing, curation, and preprocessing
      • Label quality validation and dataset management
      • Data exploration for targeted labeling
    • Develop evaluation and tests that reflect real-world operating conditions
    • Improve synthetic data workflows to support targeted model improvement
  • Model Development and Experimentation
    • Train, evaluate, and iterate on computer vision models for:
      • Detection, segmentation, classification, tracking
      • Transformer and multi-modal architectures where appropriate
    • Continuously explore and evaluate:
      • new model families and research directions
      • Domain-specific optimizations for aerial imagery, small-object detection
    • Incorporate multi-modal inputs including:
      • Multiple image bands
      • Platform and sensor metadata (range, angles, telemetry, etc.)
  • Edge deployment and Optimization
    • Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
    • Balance accuracy, latency, and resource constraints for real-world, real-time workflows

What You'll Bring
Core Experience
  • 5+ years of experience in machine learning, with a focus on computer vision
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • Hands-on experience building and improving computer vision or perception models in production or real-world systems, especially for object detection, object tracking
  • Strong understanding of model evaluation, including selecting metrics, building test sets, analyzing false positives/false negatives, and measuring performance over time for iterative improvement

Technical Skills
  • Experience with PyTorch or Tensorflow
  • Strong understanding of modern computer vision architectures:
    • CNNs, transformers (ViTs), and/or multi-model models
    • OpenCV, NumPy, or similar
  • Experience building training and data pipelines for medium to large scale datasets
  • Strong python skills and solid software engineering fundamentals

Bonus
  • Aerial imagery, geospatial data, or remote sensing
  • Photogrammetry
  • Multi-modal learning systems
  • Familiarity with state estimation and tracking methods (Kalman Filters, DeepSORT, ByteTrack, etc)
  • Experience with performance languages (C++ or similar)
  • Model deployment onto Nvidia Jetson based edge hardware

What We Offer:
  • Growth Opportunities: As a team member of a true startup, you will learn by doing and shape our future. The opportunities are limitless for those who want to grow their career.
  • Impact Opportunity: We work on missions that matter to keep people safe and make the world better, and we do it without bureaucracy at the speed of a startup.
  • Team Collaboration: Work in a fast-paced, collaborative environment with amazing teammates. The Overwatch Imaging leadership team believes in an open-door policy, meaning everyone has a voice and access to guidance, advice, feedback, and the ability to pitch crazy new products or ideas.
  • Late Start Wednesday: A weekly block to have focus time away from meetings and calls. An opportunity to work from home, flex your schedule or self-directed time to focus on training and development.
  • Time Off: Generous PTO to empower employees to make decisions about work life balance based on work and home needs.
  • Holidays: Overwatch Imaging recognizes 10 company holidays.
  • Ownership: Equity/Stock Options in our rapidly growing company.
  • Health Benefits: Medical/Dental premiums 100% covered by Overwatch Imaging for employees and their families, plus available pre-tax health savings account.
  • 401K: Employer matching contributions up to 4% of pay.

All applicants must be authorized to work on a permanent basis in the United States.
Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic.
All applicants must be authorized to work on a permanent basis in the United States.
Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic.
We encourage all qualified candidates to apply, even if they don't meet every requirement listed
in this job description. We value diversity of experience and perspectives and are always looking
for talented individuals to join our team.
Export Control Compliance Notice
This position may involve access to data, technology, or software that is subject to U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to obtain any necessary export authorization, as determined by an export compliance assessment conducted by the company.

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