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Vision Engineer Jobs in Washington, DC (NOW HIRING)

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

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0244633 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experience d AI Developer spe cia lizing in Computer Vision to join our growing team for space solutions.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in computer vision to join our growing team for space solutions. In this ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for space solutions. In this ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0245087 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experience d AI Developer spe cia lizing in computer vision to join our growing team for space solutions.

About the Role As an Engineer on the Image & Computer Vision AI team , you will play a hands-on role in developing and deploying computer vision capabilities that support Babel Street's intelligence ...

/Computer Vision Software Engineers# Computer Vision Software Engineers00100 LEIDOS, INC.McLean ... To promote these efforts, Leidos is looking for a onsite mid-level Software Engineer to join our ...

Showing results 21-40

Vision Engineer information

See Washington, DC salary details

$43K

$131.2K

$216.8K

How much do vision engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for vision engineer in Washington, DC is $131,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a vision engineer?

Vision Engineers are professionals who design, develop, and implement computer vision systems that enable machines to interpret and understand visual information from the world. They work with image and video processing algorithms, deep learning models, and hardware such as cameras and sensors to solve problems in areas like robotics, autonomous vehicles, and quality inspection. Vision Engineers often collaborate with software developers, data scientists, and hardware engineers to create solutions that can recognize objects, track movements, or analyze scenes automatically.

How does a vision engineer typically collaborate with other engineering teams during a project?

Vision Engineers often work closely with software developers, hardware engineers, and data scientists to integrate computer vision solutions into larger systems. Collaboration usually involves sharing specifications, aligning on data formats, and frequent meetings to ensure seamless interaction between visual algorithms and system hardware or applications. Effective communication and cross-disciplinary teamwork are essential, as vision models must be optimized for real-time performance and reliability within the constraints of the broader product.

What are the key skills and qualifications needed to thrive as a vision engineer, and why are they important?

To thrive as a Vision Engineer, you need a strong background in computer vision, image processing, and programming languages such as Python or C++, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), OpenCV, and experience with camera systems or embedded hardware are typically required. Analytical thinking, problem-solving, and the ability to communicate complex technical concepts clearly are standout soft skills. These abilities are crucial for developing robust vision solutions that drive innovation in industries such as robotics, automotive, and manufacturing.

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

AspectVision EngineerComputer Vision Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with image processing and sensor integrationBachelor's or higher in computer science, AI, or related fields; strong programming skills in Python, C++, and experience with machine learning
Work EnvironmentResearch labs, robotics companies, manufacturing, automotiveTech companies, AI startups, robotics, healthcare imaging
Industry UsageUsed in robotics, automation, and sensor systemsApplied in AI, autonomous vehicles, medical imaging, and surveillance

While both roles focus on visual data, a Vision Engineer typically works on integrating sensors and hardware for vision systems, whereas a Computer Vision Engineer develops algorithms and software for interpreting visual data. The roles often overlap but differ mainly in hardware versus software focus.

What does a vision engineer do?

A vision engineer designs, develops, and tests computer vision systems and algorithms used in applications like robotics, autonomous vehicles, and image processing. They work with tools such as MATLAB, OpenCV, and machine learning frameworks, often requiring knowledge of programming, image analysis, and sensor integration.

What are popular job titles related to Vision Engineer jobs in Washington, DC?

For Vision Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Vision Engineer jobs in Washington, DC look for?

The top searched job categories for Vision Engineer jobs in Washington, DC are:

Infographic showing various Vision Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $131,179 per year, or $63.1 per hour.

Machine Learning Engineer

Cymertek

Tysons, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Machine Learning Engineer
LOCATION
Tysons, VA 22182
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about artificial intelligence, data-driven solutions, and continuously learning in an evolving field, we'd love for you to be part of our team.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
  • Ability to design, implement, and optimize machine learning models and workflows
  • Experience working with large, complex datasets
  • Knowledge of data preprocessing and feature engineering
  • Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
  • Strong problem-solving skills and analytical thinking

REQUIRED SKILLS
  • Proficiency in programming languages (e.g., Python, R, Java)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Expertise in model evaluation techniques and metrics
  • Strong knowledge of version control tools (e.g., Git)
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  • Understanding of database technologies (e.g., SQL, NoSQL)

DESIRED SKILLS
  • Experience with natural language processing (NLP)
  • Knowledge of deep learning techniques (e.g., CNNs, RNNs)
  • Familiarity with deployment tools (e.g., Docker, Kubernetes)
  • Experience with data augmentation and synthetic data generation
  • Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
  • Knowledge of edge computing and model optimization for deployment

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.