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Computer Vision Startup Jobs in California (NOW HIRING)

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 ...

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 ...

Founding AI Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world ... Willingness to handle the full spectrum of startup engineering tasks (no task is too small)

Founding AI Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world ... Willingness to handle the full spectrum of startup engineering tasks (no task is too small)

... startup building an AI-powered wearable platform for industrial field technicians - running a real-time computer-vision and agentic AI system directly on smart-glasses hardware, live today with major ...

Job Summary : MadMen AI is a seed-stage AdTech startup aiming to make AI-powered advertising ... Past experience in AdTech and/or ML (especially Computer Vision) will help shorten the learning ...

Apply the latest computer vision models and AI techniques to real construction workflows (e.g ... Experience as a founder or early employee at a startup where you built something people used or ...

Apply the latest computer vision models and AI techniques to real construction workflows (e.g ... Experience as a founder or early employee at a startup where you built something people used or ...

Advex is a seed stage tech startup focused on solving challenges in computer vision through effective data collection. As a Machine Learning Engineer, you will shape the technical direction of the ...

Have expertise across NLP, computer vision, and audio processing. * Be product-focused, identifying ... Lead ML strategy and infrastructure in a growing startup environment. * See your models reach users ...

The ideal candidate brings deep technical expertise in modern computer vision, strong research ... Culture We work in a casual and collaborative startup environment. Every member of the team plays a ...

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

The ideal candidate brings deep technical expertise in modern computer vision, strong research ... Culture We work in a casual and collaborative startup environment. Every member of the team plays a ...

Showing results 41-60

Computer Vision Startup information

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.

What are popular job titles related to Computer Vision Startup jobs in California?

For Computer Vision Startup jobs in California, the most frequently searched job titles are:

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

The top searched job categories for Computer Vision Startup jobs in California are:

Infographic showing various Computer Vision Startup job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Jr Algorithms/Video Engineer

TRL11, Inc.

Irvine, CA • On-site

$80 - $150K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

TRL11 is a venture backed deep tech / defence tech startup bringing cutting-edge video technology to Aerospace applications. Based in Irvine, CA, we are seeking highly passionate, skilled and experienced Algorithms/Video Engineers with a focus on cutting edge video processing technology, to join our team. You will be responsible for the design, development, and implementation of advanced computer vision and video processing pipelines to support our patent pending Space Aware Video Software Suite. Join our team and play a crucial role in shaping the future of Human Space Exploration and US National Security.

Location: Irvine, CA (in-person position)

Responsibilities:

  1. Develop and implement computer vision algorithms on embedded systems, used for identifying, tracking and classifying anomalies, trends, and intent of airborne and ground based objects using high speed cameras.
  2. Design and optimize AI/ML models for deployment on resource-constrained embedded platforms, considering factors such as memory, processing power, and energy efficiency.
  3. Participate in the entire software development lifecycle, from requirements gathering and system design to testing, deployment, and maintenance.
  4. Perform algorithm evaluation and optimization to ensure efficient and accurate real-time performance of high frame rate machine vision systems.
  5. Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate and propose innovative solutions to enhance our product offerings.
  6. Document and communicate technical concepts, algorithms, and implementation details effectively to team members and stakeholders.
  7. Experience debugging with video processing pipelines would be nice
  8. Mentor junior team members, providing guidance and technical expertise to foster their professional growth.

Requirements

  1. Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or related field.
  2. Strong programming skills in C/C++, Python required, with experience in embedded software development a plus.
  3. Solid understanding of AI/ML techniques, deep learning frameworks, and computer vision.
  4. Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration, FPGA implementation, multi-core parallel processing.
  5. Experience working with video processing pipelines and workflows.
  6. Proficiency in working with popular embedded platforms, such as ARM-based SoCs and microcontrollers.
  7. Familiarity with basic image processing techniques, camera systems, and sensor integration.
  8. Knowledge of real-time operating systems (RTOS) and software development for embedded systems.
  9. Excellent problem-solving skills and the ability to work independently as well as in a team environment.
  10. Strong communication skills to effectively convey complex technical concepts and collaborate with cross-functional teams.

Nice to Have:

  • US Citizenship / Green Card

Benefits

  • Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun doing it
  • Base salary $80- $150k, depending on experience
  • Bonus, 401k, Health Care Plan (Medical, Dental, Vision)
  • Unlimited Paid Time Off (with prior approval), for Vacation, Sick & Public Holidays, Maternity, Paternity
  • Possible Stock Option Plan participation, based on performance and tenure.