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Computer Vision Engineer Jobs in Corvallis, OR (NOW HIRING)

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

PhD in Robotics, Computer Science, or a related field. * Publications in top ML or robotics ... Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability ...

AutoStore

Senior Software Engineer

Salem, OR

$130K - $150K/yr

AutoStore holds a simple yet powerful vision: to store and move things for everyone, everywhere ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 5+ years of ...

AutoStore

Cube System Engineer

Salem, OR · On-site

AutoStore holds a simple yet powerful vision: to store and move things for everyone, everywhere ... Bachelor's or master's degree in Mechanical Engineering, Computer Science, or related technical ...

AutoStore

Senior Software Engineer

Salem, OR · On-site

$123K - $162K/yr

AutoStore holds a simple yet powerful vision: to store and move things for everyone, everywhere ... Bachelor's Degree in Computer Science or the equivalent We Offer: AutoStore believes in taking care ...

Transperfect

Localization Engineer

Corvallis, OR · On-site

TransPerfect offers a comprehensive benefits package including: medical, dental, vision, 401k, paid ... knowledge of computer languages (VB, VBA, C++), scripting (Perl, ASP, Java, JSP) and markup ...

SAIC

Deskside support Engineer

Salem, OR

Engineering and Sciences Subcategory: Field Technician Schedule: Full-Time Shift: Day Job Travel ... Perform repairs on Apple computer and iOS hardware and software. Understanding of the MAC OS ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

Requirements Required Qualifications Bachelor's degree in Computer Science, Software Engineering ... Family coverage also included. * 100% employer paid dental, and vision for employee and dependents ...

SAIC

Deskside support Engineer

Salem, OR · On-site

Description Deskside support Engineer with a minimum of 7 years of experience providing desk side ... Perform repairs on Apple computer and iOS hardware and software. Understanding of the MAC OS ...

Selmet

Facilities Engineer/Project Manager

Halsey, OR · On-site

... vision, 401(k), company paid life insurance, and other great benefits! Click here to watch a video ... Advanced computer and software skills * Proficiency with Microsoft Office Suite programs

Selmet

Facilities Engineer/Project Manager

Scio, OR · On-site

... vision, 401(k), company paid life insurance, and other great benefits! Click here to watch a video ... Advanced computer and software skills * Proficiency with Microsoft Office Suite programs

Selmet

Facilities Engineer/Project Manager

Albany, OR · On-site

... vision, 401(k), company paid life insurance, and other great benefits! Click here to watch a video ... Advanced computer and software skills * Proficiency with Microsoft Office Suite programs

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Showing results 1-20

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Corvallis, OR

Computer Vision Engineer information

See Corvallis, OR salary details

$47.6K

$119.2K

$134.9K

How much do computer vision engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision engineer in Corvallis, OR is $119,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $129,000.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
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Computer Vision Engineer jobs near you
Staff AI Research Engineer

Staff AI Research Engineer

Agility Robotics

Salem, OR • On-site, Remote

$216K - $338K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About The Role
The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. In addition to driving research direction, you will play a key role in shaping the technical roadmap for robot learning at Agility and leveling up a growing team of junior AI research engineers by providing mentorship, guiding project execution, and establishing strong research and engineering practices.
About the Work
  • Establish team-level standards for research execution, including experiment tracking, evaluation protocols, and model benchmarking.
  • Mentor and guide junior AI research engineers through project design, experiment execution, and technical problem solving.
  • Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment readiness for learned policies.
  • Review experimental design, code, and results to ensure rigor, reproducibility, and alignment with research goals.
  • Help onboard new researchers and accelerate their effectiveness in robot learning and experimental workflows.
  • Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
  • Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and deployment of control policies.
  • Develop, design, and test imitation learning methods.
  • Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production.
About You
  • 7+ years of total experience in software engineering and/or AI/robotics.
  • 3+ years of hands-on experience developing and deploying learning-from-demonstration, reinforcement learning, imitation learning, foundation models, or related robot learning systems in real-world or simulated robotics environments
  • Proven ability to mentor and develop junior engineers or researchers, raising the technical bar of a team.
  • Track record of leading complex technical initiatives and influencing technical direction from research through deployment.
  • Strong ability to translate ambiguous research problems into structured, executable work for a team.
  • Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
  • Experience with modern learning-from-demonstration tools such as DiffusionPolicy.
  • Experience with robot data collection, training, and testing on hardware for manipulation tasks.
  • MS in Robotics, Computer Science, or a related field.
Bonus Points
  • PhD in Robotics, Computer Science, or a related field.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
  • Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
  • Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
  • Experience with writing performant, high quality software in C++

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$216,000-$338,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Apply Now: https://grnh.se/b444bbd04us

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