Computer Vision Scientist

We are:  
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. Through our diverse culture, workforce, and inclusive thinking, we embrace our employees' ideas, taking them from concept to practical solutions. Are you ready to learn and grow in a career, while making a difference? 

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:
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.

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. Finally, the ideal candidate has facility and experience turning the latest research literature into functional prototypes.

Here’s what you need:

• Skills with Python, Tensorflow, Keras, and/or PyTorch
• Experience developing Computer Vision specific systems (multiple projects)
• 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.
• M.S. degree in computer science or electrical engineering.

• Bonus Points:
• Ph.D. 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.
• Experience working with structured and unstructured data (point clouds, raster/vector geospatial data, images, and videos, etc.).