Job Description

Please review the job details below.Do you have a head for numbers? Like turning real world problems into mathematical representations and checking to see if you did it right? Do you like working with geospatial intelligence (GEOINT) data? If you like that, you'll love working with us! Our solutions require integration and use of bespoke capabilities and tools to solve our customers most interesting needs and difficult challenges. We need both experienced and aspiring staff to work on all stages of the computer vision (CV) pipeline, to include acquiring and standardization of geospatial data, building and running machine vision models, testing and evaluating processes, and data integration into existing enterprise solutions. Why Maxar? We build advanced algorithms to gain analytic insights from a large range of open source and government data We enable machine learning systems, automate workflow, and design and develop custom applications for unique national-security mission We operate an end-to-end predictive analytic platform unlike any other within the US Government We provide training to expand your skills and challenges to develop them Our client's missions are vital to national security, so we're mission-first always Our work environment is relaxed business casual At our core we believe and practice social responsibility What would you be doing? Contributing to multi-discipline AI/ML teams use of GEOINT data to create, test, and evaluate machine learning models and their supporting technologies Providing strategic advice to government AI/ML clients fielding automatic target recognition (ATR) algorithms Extracting and transforming data using programming languages such as Python and associated open-source data analytics libraries Using GEOINT data to build algorithms compatible with a variety of existing government AI/ML computer vision platforms Advising Maxar and the project manager on the strengths and weaknesses of various AI/ML approaches, staffing footprints and delivery strategies Briefing government clients, contractor partners and internal Maxar teams on delivery progress, evaluation results and project challenges Generating sprint-style projections and risk assessments for AI/ML deliveries Integrating and fielding a range of talents and personnel spanning the full landscape of data scientist skillsets: ETL, mathematics and modeling, data engineering, visualization and storytelling, platform integration and data analytics Providing subject matter expertise and mentoring other team members Traveling occasionally to local government sites for customer meetings and demonstrations Minimum Qualifications: Must be US Citizen. Must have a current/active TS/SCI and be willing and able to obtain a CI Polygraph B.S. in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography or related field 3+ years developing, testing, and deploying CV object detection models using GEOINT data 3+ years testing and evaluating statistical learning algorithms (not limited to CV models) 1+ year working with synthetic training data generation, low-shot learning, and robust Machine Learning (ML) (not limited to CV focus, but nice to have) 1+ year working with cloud-based platforms (AWS, Azure, etc.) and integrating CV capabilities (SageMaker, IBM Watson Studio, etc.) Ability to work with a geographically distributed team Ability to travel local occasionally (DC Capital Region) to government sites for customer meetings and demonstrations Effective communicator demonstrated through technical writing (proposals, white papers, academic publications) and speaking engagements (briefing larger groups, conference presentations, etc.) Organizational skills and excellent attention to detail Desired Qualifications: Advanced degree (M.S, Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, or related field Experience with remote sensing, GEOINT datasets, and government collection platforms including electro-optical (EO) and synthetic aperture radar (SAR) imagery Competence with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.) Competence with Python's geospatial libraries, such as gdal, geopandas, shapely, etc. Competence with deep learning algorithms for image science (YOLO, SSD, DetectNet, etc.) Competence with containerization platforms (Docker, Kubernetes, OpenShift, Cloud Foundry, etc.) Competence with Linux command line tools Competence with version control technologies such as Git, GitLab, etc. Experience supporting government clients in the Defense and Intelligence communities, working within a SCIF, and briefing government customers#cjpost#LI-RDIn 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 California, Colorado, Hawaii, and the Washington, DC metropolitan area is:$135,000.00 - $185,000.00For 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: 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.

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