Your Rebel Team Engineering: 

The engineering team is focused on building powerful, automated products that apply artificial intelligence to analyze, secure, and transfer national security data to deliver decision advantage to our customers. Rebellion products are built to transform three critical national security challenges: How can the DoD/MoD better analyze the vast streams of data, better secure critical systems, and better share information across disparate systems to accelerate awareness and decision-making? 

This role reports to: Engineering Manager, Aaron Wieczorek 

Aaron Wieczorek is a Senior Software Engineering Manager for the Perception Team with expertise in leveraging AI/ML algorithms to improve intelligence, surveillance, and reconnaissance capabilities. Aaron has lead software and policy development for the United States Digital Service, US Environmental Protection Agency as well as other large government agencies. Aaron's expertise is in transforming and fusing Synthetic Aperture Radar, LiDAR, Thermal, and EO data into trained AI / ML models.

How you’ll make a difference in this role: 

We are seeking a Senior ML Engineer with remote sensing experience in the Seattle, Washington Office.  In this role, you will work on a product team to use state of the art techniques and create new techniques to deliver insights across sensor types. You will also work with other ML engineers to close the gap among products by identifying opportunities for shared models or services. The goal is to provide timely intelligence during strategic Department of Defense missions and their adoption and success will ensure the safety of both civilians and service members.

What your mission is: 

• Work on and with the product team to identify problem areas where AI/ML is a potential solution
• Build or incorporate SOTA models in focus areas such as object detection, semantic segmentation, and data generation (synthetic data, generative models) across multiple domains, incorporating the geospatial component where applicable
• Build and own the full-stack for the solution provided
• Partner and build shared solutions with Geospatial team members and the broader AI/ML teams for cross-cutting capabilities
  

You may be fit for this role if your expertise aligns to: 

• Have an advanced degree in a quantitative field (e.g. computer science, statistics/data science, physics, or math)
• 3+ years of industry experience working with frameworks such as Tensorflow, PyTorch, JAX, or Keras for tasks such as object detection, semantic segmentation, or generative modeling (GANs, Autoencoders) or using those frameworks to deploy models based on the same tasks
• Demonstrate strong experience in Python or GoLang
• Understand and enjoy working with remote sensing technologies and spatial analysis to manipulate, extract, and analyze geospatial data from satellites and aircraft
• Are interested in the current SOTA for generative models such as GANs and Variational Autoencoders
• Are self-directed, detail-oriented, and enjoy figuring out the most important problem to work on
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
• Prioritize getting the system working, but know when it is right to take on technical debt

The Nature of our Work: 

We are driving fast change to an extremely regulated industry. Many of the national security programs that are supported by Rebellion’s products operate in secure environments and access to those spaces and the data in them may require an active personnel security clearance. It is a requirement of this position that you are able to obtain and hold a personnel security clearance at the right level