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Computer Vision Engineer Jobs in Maryland (NOW HIRING)

Prescient Edge

Mid Computer Engineer

Bethesda, MD · On-site

$100K - $140K/yr

Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A ... Mid-Level Computer Engineer Description: * Computer hardware and software engineers' research ...

SEACORP

Computer Engineer IV

College Park, MD · On-site

$110K - $130K/yr

SEACORP is seeking a well-qualified Computer Engineer IV . Primary Duties and Responsibilities: Job ... Vision Benefits: An excellent Vision Benefit providing discounts and allowances for prescription ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Maryland

Computer Vision Engineer information

See Maryland salary details

$47.1K

$117.9K

$133.4K

How much do computer vision engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for computer vision engineer in Maryland is $117,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

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 Maryland? The most popular types of Computer Vision Engineer jobs in Maryland are:
What are popular job titles related to Computer Vision Engineer jobs in Maryland? For Computer Vision Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Maryland look for? The top searched job categories for Computer Vision Engineer jobs in Maryland are:
What cities in Maryland are hiring for Computer Vision Engineer jobs? Cities in Maryland with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Maryland as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $117,936 per year, or $56.7 per hour.

2027 PhD Graduate - Computer Scientist - Tactical System Prototyping and Deployment

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 73 rated research

Job description

Description
Are you an expert in computer science with enthusiasm for using innovation and technology to solve technical challenges?
Do you have an interest in envisioning and developing software solutions for new warfighter capabilities?
If you are graduating with a PhD in Computer Science or Computer Engineering and want to work in software research and development, we'd love to have you join our close-knit prototyping team! We build capabilities that enable warfighters to harness an assorted set of sensors and data sources to accomplish a variety of missions that are important to the defense of our nation.
Our team is committed to working directly with warfighters to craft solutions from concept to operational use. We strive to foster a broadly focused environment that is highly collaborative and supportive, but also encourages autonomy. Our team values are putting the warfighter and their missions first, accepting that you might not get it right the first time, but being resolved to see it through, and being dedicated to making real impact.
As a Computer Scientist and Researcher, you will...
  • Research, propose, and develop concepts to solve unaddressed, critical military operational shortfalls as a member of an established team that has fielded numerous highly regarded capabilities. Subject areas differ widely over time, but our current projects focus on improving the exploitation of airborne and ground based sensor data through object tracking, multi-sensor correlation, data management, and operational data display as well as on intelligent networks, resilient autonomy, and non-kinetic warfare integration.
  • Devise algorithms and perform system design and software implementation of proof-of-concept prototypes incorporating several engineering fields: signal/video processing, computer vision, real-time computing, radar theory, georegistration, data fusion, and visualization.
  • Conduct prototype analysis and evaluation including experimental operations at military facilities, and support transitions of capabilities to government or industry.

Qualifications
You meet our minimum qualifications for the job if you...
  • Earned a PhD in Computer Science, Computer Engineering, Physics or a related field.
  • Are an expert in signal processing, computer vision, data science, data visualization, or radar detection and tracking
  • Can occasionally travel and work at government and military facilities, including underway on US Navy ships and aircraft requiring work outside of and in excess of normal working hours.
  • Are able to obtain an Interim Secret to start and then a Secret level security clearance some time after your start date. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you have...
  • Experience with complex software development and knowledge of C++, Java, or Typescript in a Linux/Unix environment.
  • A track record of applying computer science/software development expertise to address emerging challenges.
  • Interest and initiative to grow into a leadership position.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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