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Computer Vision Engineer

Springfield, VA
TS/SCI
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Why Choose Royce Geo, a GRVTY Company

Royce Geo, a GRVTY Company, started with a simple, American idea: we do things not because they are easy but because they are hard. Royce Geo, a GRVTY Company, exists to answer challenges. We do it for customers in defense, intelligence, homeland security—anyone whose job it is to advance America’s strategic position. The size of the challenge we face demands new skills, new backgrounds, and new thinking. That’s what we’re here to deliver. And when you work shoulder to shoulder with brilliant people tackling the most high-stakes challenges, it’s invigorating. Our culture is built on collaboration, mission-focused innovation, and a commitment to excellence, where every challenge we answer opens the door to a new possibility.

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We’re purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At Royce Geo, a GRVTY Company, we believe that when our employees thrive, our company thrives. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

Your Impact

The Computer Vision (CV) Engineer will be responsible for model creation, evolution and evaluation. The CV engineer together with the Dev Ops teammates will manage the CV/ML pipeline and offer suggestions for continuous improvement in Springfield, VA.

We are looking for candidates that are:

  • High-speed technologists who enjoy a fast paced and highly rewarding work environment
  • Team-players who enjoy collaboration
  • Comfortable collaborating closely with Key Customer Stakeholders, Program Managers, and Product Owners
  • Able to accomplish multiple sophisticated software development tasks with minimal direction
  • Life-long learners – You remain engaged with the latest technology trends and understand operational challenges to continually evolve the application delivery process and platform components
  • Strong communicators with the ability to explain technical concepts to members across the team
  • Able to maintain a high awareness of industry issues and trends

Responsibilities:

  • Manage models lifecycle, to include training, testing and versioning
  • Create image and video preprocessing methods to enhance CV performance and introduce storage efficiencies
  • Manage and Monitor performance of CV/ML pipeline and engineer improvements to alleviate bottlenecks
  • Research and introduce new CV tools and processes as applicable
  • Capable of scaling processes to meet program demands
  • Assist in the migration of pre-existing pipelines to meet customer requirements

Required Qualifications:

  • This position requires an active TS/SCI (eligible for Poly)
  • Master’s Degree of Science in Engineering, Computer Science, Mathematics, or relevant field
  • 7+ years of experience developing Artificial Intelligence & Machine Learning (AI/ML) Computer Vision models, working with different formats of image and video data.
  • 5+ years of experience working with and developing software prototypes and solutions.
  • Must have a deep understanding of Python.
  • Experience with Amazon Web Services (AWS), Google Cloud Services (GCS), or Azure Cloud.
  • Excellent communication and interpersonal skills.

Desired Qualifications:

  • Familiarity with the Unix environment
  • Use of Container repositories
  • Use of docker as a means to deploying models
    • CI/CD scripting to automate processes and model management

EEO Statement

Royce Geo, a GRVTY Company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com with requested details. A member of the HR team will respond to your request within 2 business days. Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

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