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Computer Vision Engineer Jobs in College Park, MD

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware's 3D computer vision team develops algorithms and open source applications for ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Cymertek

AI/ML Engineer

Tysons, VA · On-site

AI/ML Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Chantilly, VA · On-site

AI/ML Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Annapolis Junction, MD · On-site

AI/ML Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in College Park, MD

Computer Vision Engineer information

See College Park, MD salary details

$47.9K

$120.1K

$135.9K

How much do computer vision engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for computer vision engineer in College Park, MD is $120,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $130,000.00 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 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 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 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.

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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in College Park, MD?

The most popular types of Computer Vision Engineer jobs in College Park, MD are:

What are popular job titles related to Computer Vision Engineer jobs in College Park, MD?

For Computer Vision Engineer jobs in College Park, MD, the most frequently searched job titles are:

What cities near College Park, MD are hiring for Computer Vision Engineer jobs?

Cities near College Park, MD with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in College Park, MD as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $120,310 per year, or $57.8 per hour.

Staff Computer Vision and Machine Learning Engineer

GEICO

Bethesda, MD • On-site

Full-time

Re-posted 25 days ago

GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

171st of 315 rated insurance

Job description

Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Role Overview
As a Staff Computer Vision and Machine Learning Engineer, you will serve as a technical lead through the design, development, and deployment of advanced computer vision and machine learning models across the business. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
You will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This position involves both hands-on engineering work and leadership responsibilities in a dynamic environment.
Key Responsibilities
  • Design and implement computer vision and machine learning models and components that solve real-world business problems in close collaboration with Product, business units, and Data Science teams.

  • Write production-grade code for ML models as services and APIs.

  • Collaborate with cross-functional teams, including data engineering and software development, to integrate computer vision and machine learning models into production systems.

  • Build and maintain scalable data processing workflows and model deployment infrastructure.

  • Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability.

  • Keep up with the latest CV and ML tooling and communities.

  • Lead the design and implementation of complex computer vision and machine learning models across various business units.

  • Architect and develop scalable infrastructure for automated model training, hyperparameter tuning, and deployment.

  • Mentor and guide junior engineers, collaborating closely with computer vision and machine learning engineers to optimize and refine models.

  • Own the end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability and performance.

Minimum Qualifications
  • B.S. in computer science, computer & electrical engineering or related discipline, M.S. in computer vision, machine learning, Computer Science, Statistics, Mathematics, or a related quantitative field or equivalent work experience in CV domain (see below).

  • 6+ years of experience applying computer vision and machine learning techniques such as ensemble learning, deep learning, reinforcement learning, NLP, or related approaches.

  • Direct work experience in CV discriminative models (detection, segmentation), CV foundation models, VLM, MLLMs, generative tools (diffusers).

  • 6+ years of experience with SQL, Spark (or equivalent), and Python, computer vision, and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.

  • 4+ years of experience working with cloud platforms and environments such as AWS, Microsoft Azure, Databricks and/or Snowflake, and Kubernetes.

  • 4+ years of experience applying computer vision and machine learning techniques in a production environment for business solutions.

  • Nice to have: publication(s) in top CV conference (CVPR, ICCV, ECCV, etc)

Required Skills and Knowledge
Computer Vision and Machine Learning and Statistical Modeling
  • Strong foundation in advanced computer vision and machine learning algorithms, including supervised and unsupervised learning techniques, as well as familiarity with generative models.

  • Proficiency in statistical modeling, including probability theory and hypothesis testing, to interrogate, analyze, and interpret data effectively.

Programming, MLOps, and Cloud Platforms
  • Strong programming skills, including proficiency in Python and experience with computer vision and machine learning frameworks such as TensorFlow, Keras, and PyTorch.

  • Familiarity with software development best practices, including CI/CD pipelines, containerization such as Docker, and orchestration such as Kubernetes.

  • Deep understanding of MLOps practices, including model versioning, A/B testing, and continuous deployment.

  • Deep understanding of cloud computing platforms such as Azure, AWS, or GCP, distributed systems, and large-scale data processing technologies such as Spark and Kafka.

Leadership, Communication, and Analytical Skills
  • Proven experience leading computer vision and machine learning projects, managing stakeholders, and scaling computer vision and machine learning solutions in production environments.

  • Excellent communication skills, with the ability to present complex technical topics to both technical and non-technical audiences.

  • Exceptional problem-solving and analytical skills with a focus on practical, business-oriented outcomes.

Annual Salary
$130,000.00 - $260,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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