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Computer Vision Scientist Jobs (NOW HIRING)

Revelyst

Computer Vision Engineer

San Diego, CA

$112K - $130K/yr

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. * 3-5+ years of experience in computer vision, preferably in a real-time, product ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$166K - $220K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field * Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131.80K - $155.40K/yr

S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry * 2+ years of experience with machine learning, computer vision, and signal processing

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125.10K - $147.60K/yr

Collaborate with Scientists to create advanced simulation models and perform "what-if" scenario ... Proven experience in computer vision (CV) and machine learning (ML) integration for real-time ...

Socure

Data Scientist II - Computer Vision

New York, NY · On-site +1

$140K - $170K/yr

About the Role We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team. This role is intended for an experienced ...

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision experience in real-time, product-focused environments * Strong ...

Scanifly

Computer Vision Engineer

$114.10K - $134.60K/yr

Experience deploying applications on cloud platforms * BS in Computer Science, Engineering, Math or ... Medical, Dental, Vision and Life Insurance coverage $120,000 - $130,000 semi monthly WHO WE ARE ...

Scanifly

Computer Vision Engineer

OR · Remote

$114.10K - $134.60K/yr

Experience deploying applications on cloud platforms * BS in Computer Science, Engineering, Math or ... Medical, Dental, Vision and Life Insurance coverage WHO WE ARE Scanifly is a mission-driven company ...

Merlin Labs

Computer Vision Engineer

Boston, MA

$121.10K - $142.90K/yr

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field. * Strong experience with computer vision algorithms (object detection, tracking, identification ...

Corning

Computer Vision Engineer

Painted Post, NY · On-site

$69.64K - $95.75K/yr

Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, Physics , or a related field * 1-3 years of experience in programming and computer vision system development * Proficiency ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA

$131.80K - $155.40K/yr

S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry * 2+ years of experience with machine learning, computer vision, and signal processing

Corning

Computer Vision Engineer

Painted Post, NY

$69.64K - $95.75K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Corning Environmental Technologies (CET) is seeking a Computer Vision Engineer to join the ...

Merlin Labs

Computer Vision Engineer

Boston, MA

$121.10K - $142.90K/yr

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field. * Strong experience with computer vision algorithms (object detection, tracking, identification ...

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All JobsComputer Vision Scientist Jobs

Computer Vision Scientist information

See salary details

$50.5K

$111.3K

$137.5K

How much do computer vision scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Scientist, and why are they important?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by Computer Vision Scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What are Computer Vision Scientists?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.

What is the difference between Computer Vision Scientist vs Machine Learning Engineer?

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

More about Computer Vision Scientist jobs
What cities are hiring for Computer Vision Scientist jobs? Cities with the most Computer Vision Scientist job openings:
What states have the most Computer Vision Scientist jobs? States with the most job openings for Computer Vision Scientist jobs include:
What job categories do people searching Computer Vision Scientist jobs look for? The top searched job categories for Computer Vision Scientist jobs are:
Computer Vision Scientist jobs near you
Infographic showing various Computer Vision Scientist job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computer Vision Engineer

Revelyst

San Diego, CA

$112K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Job Description

Computer Vision Engineer

JOB OVERVIEW

As a Computer Vision Engineer at Foresight Sports, you'll design and implement vision-based systems that enable real-time tracking of golf balls, club heads, and player motion using high-speed camera data. Your work will directly power the core functionality of our flagship launch monitors and simulation products. This role blends algorithm development, machine vision, and performance optimization in a fast-paced, hardware-integrated environment.

This position reports to the Firmware Engineer Manager and is based in our San Diego headquarters.

As a Computer Vision Engineer you will have an opportunity to:

  • Develop and implement real-time computer vision algorithms for object detection, tracking, pose estimation, and motion analysis.
  • Work with high-frame-rate, multi-camera systems to extract 3D trajectory and impact data for golf ball and club head tracking.
  • Collaborate with hardware, firmware, and simulation teams to integrate vision pipelines with embedded and desktop systems.
  • Optimize code performance for real-time constraints using SIMD, GPU, or multithreading techniques.
  • Apply image calibration, stereo vision, and sensor fusion techniques for accurate spatial modeling.
  • Prototype and test new vision concepts, evaluate image sensor performance, and contribute to field trials.
  • Write clean, modular, and testable code with unit and integration tests.
  • Maintain detailed documentation of vision algorithms, workflows, and data pipelines.
  • Support ML workflows including dataset versioning, experiment tracking, and model deployment on Azure ML infrastructure.
  • Maintain and extend MLOps tooling - annotation pipelines (CVAT), training jobs, and model evaluation workflows.

You have:

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
  • 3-5+ years of experience in computer vision, preferably in a real-time, product-focused environment.
  • Strong proficiency in C++ and Python, with experience using OpenCV or similar vision libraries.
  • Solid understanding of camera geometry, calibration (intrinsic/extrinsic), and lens distortion correction.
  • Experience with multi-camera setups, stereo vision, or 3D reconstruction.
  • Familiarity with object detection/tracking techniques (e.g., optical flow, Kalman filters, background subtraction, deep learning-based methods).
  • Knowledge of real-time optimization techniques, parallel processing, or embedded CV deployment.

You may have:

  • Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) for CV applications.
  • Familiarity with OpenGL, CUDA, or GPU programming for acceleration.
  • Knowledge of golf dynamics or sports motion tracking is a plus.
  • Experience working on embedded systems or with real-time video processing pipelines.
  • Exposure to MATLAB or ROS is beneficial for prototyping and testing.
  • Hands-on experience with Azure Machine Learning (workspaces, compute clusters, datastores, and experiment tracking).
  • Familiarity with Docker and Docker Compose for containerized ML tooling
    deployment on cloud VMs.
  • Experience with Azure DevOps pipelines for automating ML training, evaluation, and model registration workflows.

Pay Range:

Annual Salary: $112,000.00 - $130,000.00

The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer.

We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!

Our Postings are not intended for distribution to or use in any jurisdiction, country or territory where such distribution or use would violate local law or would subject us to any regulations in another jurisdiction, country or territory. We reserve the right to limit our Postings in any jurisdiction, country or territory.

Equal Opportunity Employer Protected Veteran/Disabled

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