Federal - Computer Vision Science Director

Organization: Accenture Federal Services

Location: Arlington, VA

Accenture Federal Services, helping our federal clients tackle their toughest challenges while unleashing their fullest potential...and then some. What makes our approach so unique? Operating from the nation's capital, we bring together commercial innovation and leading-edge technologies to deliver an integrated and interactive experience that far exceeds expectations. How? Our passion meets purpose! Through our diverse culture and inclusive thinking, we embrace our employees' ideas taking them from concept to practical solutions. Not to mention, we sleep well at night knowing our work directly impacts and improves the way the world works. We keep our tech smarts sharp by providing abundant training and certification opportunities. Are you ready to learn and grow in a career, while making a difference?

You Are:

The Computer Vision Science Director will provide technology leadership to bring vision and technical knowledge to help us maintain our industry leadership. You will need to keep track of new developments in machine learning and computer vision. You will work on novel, ground-breaking and AI/machine learning/deep learning based disruptive solutions that start with Computer Vision and may move towards other related domains.

The Work:
  • Create quick Proof of Concepts (POC) and project ownership around projects. POCs should help build rich deep learning experience for the organization, which can then be leveraged for the development of real world projects
  • Research, design, and implement algorithms in Deep Learning for Computer Vision and Image Analytics
  • Contribute to research projects that develop a variety of algorithms and systems in computer vision, image and video analysis
  • Advance the state-of-the-art in the field, including potentially generating patents and publications in top journals and conferences
  • Apply image and video analysis techniques such as deep learning to large-scale, real-world problems
  • Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components
  • Working with customers to understand algorithm requirements and deliver high-quality solutions
  • Interrogate analytical results to resolve algorithmic success, robustness and validity
  • A passion to teach and train other data scientists to expand and develop a center of excellence
  • Ability to communicate complex models and methods to non-technical staff and business leads


Here Is What You Need:
  • Masters Degree with 3 years of industry experience or Ph.D.
  • Experience with one of the following machine learning and/or computer vision tools: neural network libraries such as Caffe, Keras, Tensorflow, and Torch
  • Experience with one of the following scientific libraries such as NumPy, Matplotlib, scikit-learn, skimage, and hyperopt
  • Experience in state-of-the-art computer vision and machine learning and deep learning technologies
  • Experience working with large datasets and major Deep Learning platforms (e.g. TensorFlow, Keras, PyTorch)


Bonus Points If:
  • Ph.D. in Computer Science, Computer Vision or a related field
  • 10+ years of industry experience
  • Understand images and video, and the computer vision tools used to manipulate them (e.g., OpenCV).
  • Cutting edge knowledge : You follow trends in the industry, and look to take advantage of the latest breakthroughs when applicable
  • Strong Experience in TensorFlow, or other deep learning frameworks around vision (like Caffe, etc)
  • Strong background in algorithms, probability theory, abstract analysis, optimization, linear systems, sensor fusion, machine learning, and deep learning algorithms is a plus
  • Preferably worked on or delivered projects in deep learning, machine learning, computer vision, sensor fusion, pattern recognition, large scale data mining or artificial intelligence
  • The candidate should preferably be reading papers around this area and should be up to date with state of the art in Computer Vision. Publications or projects in the broad area of machine learning demonstrating original thinking, problem solving approach and critical performance validation is an additional plus
  • A sense of ambition and passion to change the world using AI/Deep Learning.
  • Strong theoretical and practical background in computer vision, image and video analysis, specifically object detection, tracking and recognition, statistical modeling, statistical pattern recognition, machine learning, sparse methods, applied mathematics, optimization
  • Reproducible research methods
  • Self-driven and works well in an interdisciplinary team with minimal direction
  • Experience with communicating insights and presenting concepts to a diverse audience
  • Strong interest in, and knowledge of Artificial Intelligence and its subfields
  • Must be an out-of-the-box problem solver, capable of proposing novel solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context


The Extras:
  • US Citizenship Required


As required by theColorado Equal Pay Transparency Act, Accenture Federal Services provides a reasonable range of minimum compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only , the range of starting pay for this role is$137,700 - $193,00 and information on benefits offered is here.

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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

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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 or an affiliated Accenture business may not be eligible for consideration.

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