Sr. Software Developer (Computer Vision)

Please review the job details below.

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.

Why Maxar?

• We build advanced algorithms to gain analytic insights from a large range of open source, commercial, and government data
• We enable machine learning models, automate workflow, and design and develop custom applications for unique national security missions
• We provide training to expand your skills and a fast-pace, challenging environment to further develop them
• Our client's missions are vital to national security, so we're mission-first, always

What would you be doing?

• 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
• 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
• Create rapid prototypes and design and implement complex, cutting-edge systems with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of CV data to extract meaningful knowledge
• 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.

Minimum Qualifications:

• 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

Desired Qualifications:

• 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, Google Cloud Platform, 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

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In support of pay transparency at Maxar, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within the Washington, DC metropolitan area is: $155,000.00 - $259,000.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: ;br>Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Maxar's Career page at the top of each job posting.

To apply, submit your application via Maxar's Career page.

Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.