Sr. Software Developer (Computer Vision)

$155,000 - $259,000/Yr

Maxar Mission Solutions - Springfield, VA

Full-time

Springfield, VA

About the position

Maxar is seeking an independent, creative, and driven Software Developer/Data Scientist to join our team at a Northern VA government customer site. The ideal candidate is passionate about technology and is an expert in computer vision models and other data-driven solutions. Our customers have some of the most interesting needs and hardest challenges to resolve. Our solutions require integrated models based on large and varied datasets, feeding analytic applications so that we can extract patterns and behaviors obscured within the data to augment the capabilities of human operators. We need experienced Software Developers/Data Scientists to work on all stages of the data science pipeline, to include applying existing machine learning software across large hyper-parameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set. In this role, you will be responsible for extracting and transforming data using programming languages such as Python and associated open-source data analytics libraries. You will ascertain unique ways to apply algorithms to derive specific customer data analytic results and apply big data analytics tools to large, diverse sets of collection data to assess risk of adverse threat activities. Additionally, you will extend existing algorithms as required to support customer requirements and apply data science methods to create and optimize convolutional neural networks that will perform classification, localization, and segmentation of various modalities of remotely-sensed imagery. You will contribute to the development of data analytics, user workflows and interfaces, security authentication, and service call architecture comprising a family of applications in our software suite. Your work will involve creating rapid prototypes and designing and implementing complex, cutting-edge systems with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of CV data to extract meaningful knowledge. You will also work with emerging technologies and data science techniques in support of endeavors to address the critical needs of the Intelligence Community, Department of Defense, and other government agencies.

Responsibilities

• Extracting and transforming data using programming languages such as Python and associated open-source data analytics libraries.
• Ascertaining unique ways to apply algorithms to derive specific customer data analytic results.
• Applying big data analytics tools to large, diverse sets of collection data to assess risk of adverse threat activities.
• Extending existing algorithms as required to support customer requirements.
• Applying data science methods to create and optimize convolutional neural networks that will perform classification, localization, and segmentation of various modalities of remotely-sensed imagery.
• Contributing to the development of data analytics, user workflows and interfaces, security authentication, and service call architecture comprising a family of applications in our software suite.
• Creating rapid prototypes and designing and implementing complex, cutting-edge systems with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of CV data to extract meaningful knowledge.
• Working with emerging technologies and data science techniques in support of endeavors to address the critical needs of the Intelligence Community, Department of Defense, and other government agencies.

Requirements

• Must be a US Citizen, current/active TS/SCI clearance, and willing and able to obtain a CI Polygraph.
• BS in Computer Science or related degree with 15 years experience; or 10 years and a Masters degree; or a PhD with 8 years experience.
• Willing to work onsite in Springfield, VA.
• Strong developer, particularly in C++, Python, R, SQL and shell script.
• Experience writing and working with GPU-accelerated software.
• Experience using Docker for packaging and delivering data science capabilities.
• Experience developing and testing machine learning, deep learning, or computer vision models.
• Experience with Data Analytics.
• Experience in machine learning and data science.
• Experience conducting model feasibility research and algorithm development for machine learning.

Nice-to-haves

• Graduate experience working with probabilistic and stochastic statistical analysis or computational intelligence.
• Strong object-oriented programming skills.
• Containerization experience is a plus, particularly using Docker and Kubernetes.
• Cloud services (AWS, GCP, Azure).
• Experience with development tools such as Git, GitLab CI/CD.
• Ability to work both independently and in a team environment.
• Effective oral and written communication skills to include active listening.
• Experience with different flavors of Linux including Debian, Red Hat, Ubuntu, etc.
• Programming in parallel computing.
• Experience with PyTorch, TensorFlow, and Keras.
• Experience working with open-source resources in a government computing environment.

Benefits

• Competitive salary based on experience and skills.
• Incentive eligibility based on contribution, company performance, and/or individual results achieved.
• Training to expand skills in a fast-paced, challenging environment.