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Computer Vision Engineer Jobs in Washington, DC (NOW HIRING)

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

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'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'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 ...

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 ...

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Computer Vision Engineer information

See Washington, DC salary details

$54.7K

$137.1K

$155.1K

How much do computer vision engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for computer vision engineer in Washington, DC is $137,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $148,400.00 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.
What are the most commonly searched types of Computer Vision Engineer jobs in Washington, DC? The most popular types of Computer Vision Engineer jobs in Washington, DC are:
What are popular job titles related to Computer Vision Engineer jobs in Washington, DC? For Computer Vision Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Washington, DC look for? The top searched job categories for Computer Vision Engineer jobs in Washington, DC are:

Computer Vision & AI Specialist

IPL (Indiana)

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Are you ready to be part of a companythat'snot just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company witha teamof 8,300employees across 12 countries.
AES has beenranked #1 byBloombergNEFin renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricityformillions of peopleworldwide.
We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work rankings across the markets where weoperate. AES was also named one of the World's Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices.

Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institute's Edison Awards in the twenty-first century, a distinction honoringglobal leadership in advancing the electric power industry.
Ifyou'reready to be part of a companythat'snot just adapting to change, but driving it, AES is the place for you.We'renot just building a more sustainable future,we'repowering it. Apply now and energize your career with a true leader inglobalenergy.


Embark on an exciting journey with AES as we pioneer the future of energy through Maximo, our innovative growth venture. Maximo, propelled by an AI-enabled robot, is transforming the construction of solar projects by expediting their completion. As a pivotal contributor to our mission of scaling solar energy production at an unparalleled pace, Maximo is leading the charge to meet the urgent global demand for net-zero emissions. Maximo team members are firm believers that accelerating decarbonization necessitates audacious actions, empowering the world to fulfill future needs.

Job Description

We are seeking a highly skilled and experienced Senior Robotics Perception and AI Engineer to join our team. In this role, you will be responsible for developing, optimizing and implementing cutting-edge perception and AI algorithms to enable our robots to understand and interact with the world around them. You will leverage your deep expertise in computer vision, machine learning, and robotics to drive innovation and solve complex challenges. Duties will include developing advanced perception algorithms for tasks such as object detection, segmentation, and pose estimation, as well as leading the technical roadmap for the perception part aligned with our vision and Product Roadmap.

A successful candidate is strongly motivated and passionate about solving perception and AI/ML problems and pushing the boundaries of what is possible today and will be an entrepreneurial, mission-driven individual responsible for actively progressing, developing, and executing the technical roadmap of our solar module installation robotic system. This individual will take on the responsibility of defining, designing, and implementing the perception software stack architecture and guide the Robotics and Hardware engineers to identify the best sensor suite. In addition, this person will take the ownership of developing and maintaining machine learning pipeline, deploying new models to production, and monitoring their performance collaborating closely with the engineer team to ensure seamless integration of machine learning models and perception algorithm into our applications.

As a specialist in the Maximo business, this position will work collaboratively across the Maximo, external industry partners across the value chain, and AES teams, including engineering, business development, construction, finance, supply chain, and strategy.

Major Responsibilities
  • Develop and implement advanced high-performing perception algorithms for real-time tasks such as object detection, segmentation, and pose estimation based on variety of sensor data (Lidar, Camera, etc)
  • Design, train, optimize, deploy and maintain AI/ML models for robust and accurate perception in challenging environments.
  • Enhance our machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models in the field.
  • Integrate perception systems with robotic platforms to enable autonomous manipulation, navigation, and human-robot interaction.
  • Analyze and process sensor data (e.g., camera, lidar, radar, etc.) to extract meaningful information.
  • Translate product level requirements into technical design criteria.
  • Work with engineers (robotics, hardware, etc.) and product team to define hardware/software architecture and technical roadmap
  • Collaborate with cross-functional teams, including hardware engineers, software engineers, and control engineers, to ensure seamless integration of perception systems.
  • Stay up to date with the latest advancements in computer vision, machine learning, and robotics to drive innovation and improve product performance.
  • Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
Requirements
  • Master's or PhD in Computer Science, Robotics, or a related field.
  • 5+ years of experience in computer vision, machine learning, and/or robotics.
  • Strong theoretical foundation in computer vision, image processing, and machine learning algorithms.
  • Proficiency in programming languages such as Python, C++, and ROS2.
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with real-time systems and embedded platforms.
  • Knowledge of robotics platforms and sensor systems.
  • Founder's mentality: Entrepreneurial passion for getting things done and a "make it happen" attitude with an intellectual curiosity to seek new opportunities.
  • Skill and Behavior: Capability to work dynamically and collaboratively across multiple teams in a fast-paced and technical business environment with minimal supervision. Excellent communication skills. Results-oriented, "can-do" attitude, and "get things done" mentality; comfortable with uncertainty and ambiguity; no compromise on attention to quality and details.
  • Technology fluency: Demonstrated ability to understand solar engineering and technology concepts, question assumptions, and make informed product and technology decisions. Technical understanding of automation, robotics, computer vision, machine learning and/or artificial intelligence, is a plus.

Travel: 30% travel

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.The expected salary for this position, at commencement of employment, is between $145,000 and $181,050/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes annual bonus. The benefits offered for this position are: medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off (including vacation, sick leave time, and parental leave). Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Apply by clicking the application link below and submitting your information. The deadline to apply for this role is 07/05/2026