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Computer Vision Engineer Jobs (NOW HIRING)

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

Apple

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities ...

GRVTY

Computer Vision Engineer - Senior

Springfield, VA · On-site

$109K - $149K/yr

We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking ...

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... programming and refactoring skills and able to understand and debug heavily threaded code. Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer vision ...

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Computer Vision Engineer information

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$48.5K

$121.5K

$137.5K

How much do computer vision engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for computer vision engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
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Computer Vision Engineer jobs near you
Sr. Computer Vision Engineer

Sr. Computer Vision Engineer

Darbytek

Austin, TX • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to join a fast-growing start-up with equity ownership.


What You'll Do:

  • Lead the 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.
  • Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
  • 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 master's degree in computer science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 9+ 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 mentoring and collaborating with other engineers to solve complex technical challenges.

Company Description

At Darbytek, our goal is to build a better future for people and business. We specialize in recruiting skilled individuals for both full-time direct hires and contract positions. Allow us to help you with your next opportunity.