Senior AI/ML Researcher (TS/SCI)

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 so, you’ll love working with us! Our solutions require innovative approaches that integrates bespoke capabilities and tools to solve our customers most complex challenges. We need an experienced AI/ML researcher to work on the full stack of the AI/ML workflow, to include acquiring and standardization of multi-modal data, designing and developing AI/ML models, testing and evaluating various processes of the AI/ML pipeline, developing and prototyping AI/ML applications, and understanding and implementing hardware computational platforms and 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 research teams use of multi-INT data (with emphasis on GEOINT) to design/create/implement and rigorously evaluate machine learning approaches and relevant technologies 
• Data engineering to transform various data types to support various phases of the AI/ML workflow 
• Architect and develop novel AI/ML models (e.g., computer vision, semantic activity detection) applied to government data and integration 
• Design, implement, and evaluate various edge-based AI/ML solutions to include hardware and software stacks 
• Keeping abreast on recent AI/ML technical advances from industry and academia and applying them to customer mission problems 
• Developing/maintaining expertise on a broad spectrum of AI/ML domains such as but not limited to computer vision, geospatial analytics/prediction, signal processing, and agentic approaches and synthesizing them to prototype capabilities  
• Providing strategic advice to government on various AI/ML industry and research trends and solutioning 
• Briefing government clients, contractor partners and internal Maxar teams on delivery progress, evaluation results and project challenges  
• Advising Maxar and the project manager on the strengths and weaknesses of various AI/ML approaches, staffing footprints and delivery strategies  
• Providing subject matter expertise and mentoring other team members  
• 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  
• Generating sprint-style projections and risk assessments for AI/ML deliveries  
• 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   
• 7+ years designing, developing, testing, and deploying AI/ML models on a variety of data types  
• 2+ year working with synthetic training data generation, low-shot learning, and robust ML (not limited to computer vision)  
• 2+ year working with cloud-based platforms (AWS, Azure, etc.) and integrating AI/ML capabilities (SageMaker, IBM Watson Studio, etc.)  
• Experience with remote sensing, GEOINT datasets, and government collection platforms including electro-optical (EO), radio frequency (RF), and synthetic aperture radar (SAR) imagery  
• Ability to work with a geographically distributed team  
• Ability to work onsite at Maxar’s Herndon office and surrounding area (20-mile radius) 
• 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 d