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Computer Vision Scientist
Computer Vision Scientist-January 2024
Arlington
Jan 28, 2026
About Computer Vision Scientist

  At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

  Join Accenture Federal Services to do the work you love in an inclusive, collaborative, and caring community, where you can be empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

  Join us to drive positive, lasting change that moves missions and the government forward!

  You are:

  The ideal candidate will understand the state-of-the-art algorithms in the area of computer vision and how to build efficient and scalable deep learning models and has facility to turn the latest research literature into functional prototypes.

  The work:

  We focus on all aspects of computer vision development from exploratory and proof-of-concept development to scalability and compute optimization. We apply the latest advancements in model architectures and learning techniques to deliver custom models to our customers and contribute to the scientific literature with a growing corpus of published work. You will solve unique client problems using computer vision and will be responsible for supporting the research, design, analysis, and development of high-performance deep learning algorithms. You will be developing novel approaches and applying advanced computer vision capabilities to challenging use cases, from biometrics to geospatial applications or 3D vision.

  Here’s what you need:

  Strong skills with Python, Tensorflow, Keras, and/or PyTorch

  1+ years of industry experience developing Computer Vision specific systems, including structured and unstructured data (point clouds, raster/vector geospatial data, images, and videos, etc.).

  Domain expertise in specific areas of computer vision: object detection, image classification, semantic segmentation, etc.

  Required coursework (one or more): Image processing, computer vision, deep learning, machine learning

  Bachelor's degree in computer science, electrical engineering, or related field

  Bonus Points:

  Master's or PhD.degree in computer science or electrical engineering

  Unix/Linux experience (Debian/RHEL) and comfort with basic shell operations

  Excellent documentation habits to include code documentation, technical papers, readme files, etc.

  What We Believe

  We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain an inclusive environment.

  _Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. _ Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

  Equal Employment Opportunity Statement

  Accenture Federal Services is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

  All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

  Accenture is committed to providing veteran employment opportunities to our service men and women.

  For details, view a copy of the _ Accenture Equal Opportunity and Affirmative Action Policy Statement (https://afscommunities.force.com/careers/s/equal-opportunity-annual-policy) _.

  Requesting An Accommodation

  Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

  If you _  _are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

  Other Employment Statements

  Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

  Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

  Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

  The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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