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Computer Vision Engineer Jobs in Washington (NOW HIRING)

Quantum Space

Image Processing Engineer IV

Rockville, MD · On-site

... Engineer IV to serve as a principal technical authority for optical payload and image processing ... Design, simulate, and evaluate advanced image processing and computer vision algorithms for real ...

Cymertek

Machine Learning Engineer

Annapolis, MD

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Reston, VA

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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Computer Vision Engineer information

See Washington salary details

$54.9K

$137.6K

$155.7K

How much do computer vision engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for computer vision engineer in Washington is $137,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $148,900.00 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.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Washington? The most popular types of Computer Vision Engineer jobs in Washington are:
What are popular job titles related to Computer Vision Engineer jobs in Washington? For Computer Vision Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Washington look for? The top searched job categories for Computer Vision Engineer jobs in Washington are:
What cities in Washington are hiring for Computer Vision Engineer jobs? Cities in Washington with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you

Technical SETA SME - Computer Vision

Guidehouse

Bethesda, MD • On-site

$98K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants

Job description

Job Family:
Data Science & Analysis (ESA)
Travel Required:
Up to 10%
Clearance Required:
Active Top Secret SCI with Polygraph
What You Will Do:
The Technical SETA will provide support in the execution of the lifecycle of a research program from development, source selection, execution, closeout, and transition. The Technical SETA will be responsible for attending meetings, workshops, conferences, and testing events as the Subject Matter Expert.
  • Attend meetings, workshops, conferences and testing events as a Subject Matter Expert
    Assist with the development of presentations such as Program Management Reviews
    Serve as a Liaison between Performers, Test & Evaluation contributors, Government and Transition partners
    Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches
    Examine data sources and literary sources for emerging technology related to the Program
    Provide technical support and expertise on new concepts beyond the Program within areas of expertise
  • Additionally, the Technical SETA may provide support to the PM with their assigned Seedlings, Studies or Challenges.

In this role, the Technical SETA will serve as the Subject Matter Expertise in developing algorithms that can automatically track and match objects-such as people, vehicles, or equipment-across video feeds coming from different, uncoordinated sensors.
What You Will Need:
  • An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a polygraph
  • Bachelor's degree in physics, mathematics, computer science, or relevant engineering field
  • FIVE (5) or more years' experience in computer vision research & development (R&D)
  • TWO (2) or more years of research & development (R&D) experience in machine learning and deep learning
  • TWO (2) experience managing a multidisciplinary research & development (R&D) or test & evaluation (T&E) team, including experience creating program plans, WBS, milestone schedules

What Would Be Nice To Have:
  • Masters or PhD in physics, mathematics, computer science, or relevant engineering fields
  • Excellent writing/editing skills
  • Excellent slide development/PowerPoint skills
  • Strong organizational, problem-solving, and time management skills
  • Ability to manage multiple concurrent tasks
  • At least FOUR (4) of the desired qualifications:
    • Experience with large spatiotemporal data architectures
    • Experience with IRB process and IRB-approved video collection
    • Experience with OpenMPF
    • Experience deploying computer vision analytics at scale
    • Experience managing large-scale video collection/annotation
    • Experience with video collection from security, airborne, and mobile sensors
    • Experience with video geo-localization
    • Video re-identification technical experience

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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