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Computer Vision Engineer Jobs in Frederick, MD (NOW HIRING)

CAD Drafter/Designer

Taneytown, MD ยท On-site

$50K - $60K/yr

Consults with Engineers and Project Coordinators to resolve design problems. * Ensures that ... Medical, Vision, amp; Dental Insurance * Employee Stock Ownership Program - we are an employee ...

CAD Drafter/Designer

Taneytown, MD ยท On-site

$50K - $60K/yr

Consults with Engineers and Project Coordinators to resolve design problems. * Ensures that ... Medical, Vision, & Dental Insurance * Employee Stock Ownership Program - we are an employee-owned ...

Director of Software Engineering

Rockville, MD ยท On-site

$257K/yr

Establish technical vision, engineering standards, and development processes that enable rapid ... Bachelor's degree or higher in Computer Science, Software Engineering, Computer Engineering, or a ...

With experts in biomedical science, software engineering, and program management, we focus on ... Benefits We Offer: * 100% Medical, Dental & Vision Coverage for Employees * Paid Time Off and Paid ...

With experts in biomedical science, software engineering, and program management, we focus on ... Benefits We Offer: * 100% Medical, Dental & Vision Coverage for Employees * Paid Time Off and Paid ...

With experts in biomedical science, software engineering, and program management, we focus on ... Benefits We Offer: * 100% Medical, Dental & Vision Coverage for Employees * Paid Time Off and Paid ...

... CAD drawings of existing vertical transportation equipment Support ELES in upgrading the in-house ... to the vision and growth of a quality, employee-owned, professional firm. To all full-time ...

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Showing results 1-20

Computer Vision Engineer information

See Frederick, MD salary details

$48.2K

$120.8K

$136.7K

How much do computer vision engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for computer vision engineer in Frederick, MD is $120,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $130,700.00 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.
What are popular job titles related to Computer Vision Engineer jobs in Frederick, MD? For Computer Vision Engineer jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Frederick, MD look for? The top searched job categories for Computer Vision Engineer jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Computer Vision Engineer jobs? Cities near Frederick, MD with the most Computer Vision Engineer job openings:

Product Manager III - Data Intelligence

Everseen

Dulles, VA โ€ข On-site, Remote

Full-time

Posted 18 days ago


Job description

Everseen: A leader in vision AI solutions for the world's leading retailers.
As a Product Manager III - Data Intelligence, you will own and shape Everseen's data and analytics capabilities across the platform. This role sits at the heart of how we translate Computer Vision AI signals into actionable insights and measurable business outcomes for global retailers.
You will be the driving force behind the insights layer that powers our enterprise-scale computer vision architecture-defining how data is collected, structured, analyzed, and surfaced to drive decision-making, from real-time store interventions to executive-level visibility.
This is a highly strategic role with direct impact on how we demonstrate value, scale our platform, and differentiate in the market. You will lead the strategy, development, and optimization of analytics capabilities that provide deep visibility into operational performance, system behavior, and real-world outcomes.
Operating in a cross-functional environment spanning Product, Engineering, AI/ML, Data, Customer Success, and Sales teams, you will translate complex technical data into clear, actionable intelligence. The role requires strong product thinking combined with deep comfort in data, analytics, and platform architecture.
This is an opportunity to build a foundational layer of the Everseen platform-turning high-volume, real-time signals into intelligence that drives measurable ROI and shapes the next generation of data-driven capabilities across our product ecosystem.
This is a hybrid role based 2 days per week in the office close to Dulles Airport, VA.
What you'll do
  • Product Strategy & Roadmap: Owns the vision, strategy and roadmap for Data Intelligence that drives strategic alignment within the space and contributes to longer-term product direction.
  • Use Case Definition: Deeply understands the Data Intelligence landscape and translate use cases into scalable product opportunities.
  • Requirements Definition: Leads business requirements elicitation for complex initiatives; translates customer, operational, and technical needs into clear, scalable product requirements including data definitions, KPIs, and analytical workflows.
  • Cross-Functional Leadership & Collaboration: Partners closely with AI/ML, Data Engineering, Platform, UX, and business teams. Drives alignment across stakeholders around priorities, outcomes, and execution plans. Mentors junior product managers to ensure strong execution.
  • Platform / Solution Alignment: Ensures that data intelligence roadmap aligns with broader platform direction, architecture, and adjacent product experiences across the product roadmap.
  • Product Ownership: Owns and drives the evolution of POCs, MVPs, dashboards and intelligence layers for data intelligence that transform raw signals into actionable insights and real solutions.
  • Customer Value & Insights: Engages with customers and internal teams to validate problems, test solutions, and ensure products and analytics directly influence decisions and deliver measurable and timely outcomes.
  • Metrics & Impact Measurement: Defines and tracks success metrics for their product area, using data to assess adoption, performance, and business impact.
  • Data Governance & Quality Assurance: Establishes and enforces standards for data accuracy, consistency, reliability, and validation across the data intelligence space. Champions quality process improvement initiatives within their product area; partners with Engineering, QA, and Operations to support reliable delivery and continuous improvement.
  • User Experience: Oversees major UX research projects and standards within Data Intelligence; collaborates with UX/UI teams to ensure solutions are intuitive, practical, and aligned with user or operational workflows.
  • Research Activity: Leads comprehensive competitor and market analysis across products; advises on strategy and evaluates business opportunities within their product area; contributes recommendations to broader product planning.
  • Documentation & Communication: Reviews strategic product communications and documentation; prepare product requirements, roadmap updates, and stakeholder communications for the data intelligence space in order to clearly articulate strategy, capabilities, and impact.

Collaborating With
โ€ข Engineering teams responsible for data pipelines, platform infrastructure, and system architecture
โ€ข Data Science and Machine Learning teams developing models and algorithms that power insights
โ€ข Product Management team across solutions to align on use cases, value delivery, and roadmap priorities
โ€ข Customer Success and Operations teams supporting enterprise client deployments
โ€ข UX/UI teams to define intuitive, insight driven user experiences
โ€ข Program Management, DevOps, and QA teams to ensure delivery excellence and release quality
โ€ข Executive leadership for strategy alignment and roadmap prioritization
โ€ข Retail customers and partners for feedback, validation and co-innovation
Profile and Skills
  • 5+ years experience in a Product Management role in a global, product led, customer focused environment
  • Strategic thinking, advanced analytics, influencing, negotiation, execution focus
  • Product Management Experience: Advanced experience in product management, including cross-functional project leadership and ownership of a significant product area, feature set, or capability.
  • Technical Background: Deep understanding of product architecture and technical trade-offs; comfortable working with engineering teams, data flows, and system dependencies oncomplex initiatives.
  • Track Record of Success: Drives successful launches and measurable product growth or meaningful business impact within a defined product area.
  • Customer Engagement: Manages relationships with enterprise customers, gathers strategic feedback and uses those insights to improve product direction and outcomes.
  • Analytical and Problem-Solving Skills: Uses advanced analytics to inform strategy and resolve challenges; defines and tracks product metrics to support prioritization and decision-making.
  • Adaptability and Agility: Excels in fast-paced, changing environments.
  • Problem Solving and Decision Making: Distills complex problems into actionable proposals and evaluates customer, business, and technical trade-offs within their area of ownership.
  • Continuous Learning: Guides technical conversations and alignment across teams; continuously builds expertise in product, market, and domain trends.
  • Business knowledge: Analyzes complex market and business data, identifies opportunities, and makes informed product decisions that drive organizational impact within their product area and contribute to wider business goals.
  • Remote Work and Travel: Coordinates remote teams, travels to key customers or events as needed.

About Everseen
Shrink and inefficiency cost global retailers more than a hundred billion dollars each year. But Everseen is changing that equation. We are a leader in vision AI, transforming business operations for global retailers by reducing shrink, improving operations, and delivering a better customer experience.
Supporting 11 of the top 20 global retailers, Everseen's AI innovations help retailers save millions of dollars every month. Its flagship product, Evercheck, is deployed in 10,000 retail stores and 150,000 checkouts globally. Everseen operates at unmatched scale, processing over 15 million transactions, and more than six petabytes of video data, daily.
Trusted by major food, drug, mass, and specialty retailers around the world - including Kroger, Meijer, and Woolworths - we also partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell.
Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 700 employees globally, with a European headquarters in Cork, Ireland, a U.S. headquarters in Miami, and hubs in Romania, Serbia, India, Australia, and Spain.
We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our culture is built on accountability, collaboration, and high standards. We take ownership of outcomes, prioritise our customers, operate as one team, move quickly with purpose, and continually raise the bar in everything we deliver.
Our Culture
Our culture is built on ownership and accountability, we own outcomes, not tasks. We stay relentlessly customer-first, letting their needs shape our priorities and decisions.
We work as one team: we challenge ideas, align quickly, and commit together. We move with pace, without compromising on simplicity or quality. And every day, we raise the bar, strengthening our talent, pushing innovation forward, and maximizing our impact.
Our Values
We OWN THE OUTCOME. No silos, no excuses.
We ARE CUSTOMER-FIRST. They guide our decisions.
We ARE ONE TEAM. Debate, decide, commit.
We MOVE WITH PACE. With simplicity and quality.
We RAISE THE BAR. On talent, innovation and impact.
Our Commitment
Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion.
Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as, race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.