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Computer Vision Startup Jobs (NOW HIRING)

Tristar AI, Inc.

Hardware Engineer

Cambridge, MA · On-site

$90 - $120/hr

Engineering About Tristar AI Tristar AI is a cutting-edge computer vision startup transforming quality control and safety in manufacturing through scalable, AI‑driven defect detection systems. Our ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine ... Previous startup experience $160,000 - $200,000 a year Base pay is one element of our Total Rewards ...

Homesight Inc

A stealth computer vision & marketing SaaS startup within the UP.Labs portfolio is seeking a proven Lead Account Executive with a track record of excelling in early stage startup environments. As our ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine ... Previous startup experience $160,000 - $200,000 a year Base pay is one element of our Total Rewards ...

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All JobsComputer Vision Startup Jobs

Computer Vision Startup information

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$33.5K

$48.3K

$63.5K

How much do computer vision startup jobs pay per year?

As of Aug 15, 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?

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.

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Cities with the most Computer Vision Startup job openings:

What states have the most Computer Vision Startup jobs?

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What job categories do people searching Computer Vision Startup jobs look for?

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Computer Vision Startup jobs near you
Infographic showing various Computer Vision Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision & Machine Learning, Associate

Allen Control Systems

Mountain View, CA • On-site

$94K - $154K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago

Job description

Associate Computer Vision & Machine Learning for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. 

We’re hiring across multiple experience levels, including:

  • Associate CV/ML Engineer

  • CV/ML Engineer

  • Senior CV/ML Engineer

  • Staff CV/ML Engineer

  • Senior Staff CV/ML Engineer

    Your title and level will be determined based on your experience, skills, and the scope of responsibility appropriate for the role.

What You'll Do:

  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.

  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.

  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.

  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.

  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.

  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.

  • 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.

  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.

  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • Experience with embedded systems and integrating computer vision algorithms into hardware.

  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.

  • You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:

  • Competitive salary

  • ACS Equity Package

  • Health, Dental, Vision Insurance

  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Compensation Range: $94K - $154K