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Computer Vision Startup Jobs (NOW HIRING)

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $225K/yr

We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world from aerial and oblique imagery. Our team includes award winning ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $225K/yr

We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world from aerial and oblique imagery. Our team includes award winning ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of ... As a growing company and startup, priorities may shift as customer or business requirements change.

MOLG Inc.

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ... As a growing company and startup, priorities may shift as customer or business requirements change.

Harnham

Computer Vision Manager

Manhattan, NY · On-site

$300K/yr

Lead Computer Vision Engineer - Multimodal AI Systems Location ... New York City or Remote (US-based) Up to $300k base Our client is a fast-scaling AI startup ...

Arxlight

Computer Vision & Autonomy Engineer

Oakland, CA · On-site

$128K - $151K/yr

Computer Vision & Autonomy Engineer We are a rapidly growing technology startup focused on delivering next-generation drones for security and safety applications. Our company vertically integrates ...

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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 Jun 25, 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision Engineer

Duranta

Seattle, WA • On-site

$160K - $225K/yr

Full-time

Posted 25 days ago

Job description

ABOUT DURANTA & WHAT WE'RE LOOKING FOR
Duranta is an applied research lab actively redefining how industries interact with the physical world through Artificial Spatial Intelligence. Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D. Duranta's founding team have built unicorns, had successful exits and published groundbreaking research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to join our team.
We are a seed-stage startup building cutting-edge computer vision and generative modeling systems to understand the physical world from aerial and oblique imagery. Our team includes award winning engineers and scientists (Forbes AI 50, CVPR, SIGGRAPH) with backgrounds from Stanford, UC Berkeley, CMU, EPFL, NYU, ASU and University of Toronto. We're working on developing a modular, scalable ML pipeline to power broad geospatial intelligence.
You will work closely with the founding team on deep learning research and deployment across semantic and instance segmentation, few-shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive intelligence from aerial imagery.
RESPONSIBILITIES & FOCUS AREAS
  • Building the components of a state-of-the-art computer vision pipeline for our AI system
  • Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
  • Run experiments at scale with deep learning frameworks like PyTorch
  • Develop and maintain clean, modular ML infrastructure
  • Collaborate on model deployment and inference optimizations
  • Read and reproduce ideas from latest papers (CVPR, NeurIPS and other similar top-tier venues)

YOU WILL THRIVE IF YOU HAVE
  • Have 5+ years experience in ML / deep learning, ideally in Computer Vision
  • Have strong coding ability (Python, PyTorch)
  • Have trained segmentation/detection models on real-world data at scale
  • Have experience with generative modeling and large foundation models
  • Have worked in startups or fast-moving teams and can wear many hats

AND FOR EXTRA CREDIT...
  • Experience with high-res aerial/remote sensing imagery and LiDAR
  • Experience with self-supervised and weakly-supervised learning
  • Knowledge of 3D, CAD and computer graphics
  • Experience with cloud computing (e.g., AWS)

DURANTA VALUES
  • API = Assume Positive Intent. The company, the relationship with co-workers and customers, and life is so much better and more fun if you follow this rule.
  • Speed is the essence. We are in a hurry to make a difference.
  • Expect Peak Performance. We strive for excellence and empower those around us to do the same.
  • Build something beautiful. A beautiful product, a beautiful company, and a more beautiful world.

$160,000 - $225,000 a year
+ equity
Note: Base salary & equity will depend largely on leveling.
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.

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