Our client is the Public Sector Engineering team of a massively-funded Silicon Valley Geospatial & Signals Intelligence firm backed by nearly 20 VCs. They utilize Artificial Intelligence (computer vision, deep learning, convolutional neural networks) to process the rapidly expanding imagery and other data sets from satellites, drones, mobile devices, and IoT devices, world-wide. This is true Petabyte-scale cloud computing, translating enormous visual information into actionable intelligence that the world's leading decision-makers (both in government and in private industry) use to answer critical questions. Their accolades are impressive, being named to several "most innovative companies" and "best machine learning companies" lists, and they are viewed as a likely future unicorn (the venture capital industry's term for a privately-held company with a value over $1 billion). Their credo is using the power of AI ethically, to create progress in the world.
Their core products are used in both commercial and Intelligence Community settings, with this team focused on developing new features for federal customers and deploying the products in classified environments. There are three types of people needed in their Engineering Group - Computer Vision Scientists, Software Engineers, and DevOps Engineers. Computer Visions Scientists design, train, and deploy computer vision models and work with machine learning, image processing, deep learning, object detection, and automated analysis of imagery data. Software Engineers utilize Python to build enterprise-scale server-side software utilizing containerization (Docker, Kubernetes, etc.) and cloud-based systems (C2S and other classified cloud environments). DevOps Engineers deploy software to C2S and other classified cloud environments, script in Python and Bash, work with all sorts of DevOps tools, and navigate the authority-to-operate (ATO) process. All staff are considered part of the corporate Product Engineering team, so if you don't have a specific public sector effort to work on, you just keep helping evolve the product.
Work locations are REMOTE, work-from-home, with some visits to customer SCIFs throughout the DC metro area. SCIF visits are only when needed. The working style is fast-paced, with bright co-workers who have broad knowledge and who love to discuss and debate approaches, investigate new science and engineering topics on their own, and then teach each other. People are rather self-managing, so independent learners who appreciate flexibility and don't fear change fit in well. People are congenial and get along very well. Before the current crisis, people used to meet together for lunch regularly, and now that that is impractical, they have started forming technical book clubs, playing virtual board games, and having frequent one-on-one calls between each person and their manager. Slack and other collaboration tools are highly leveraged on a daily basis.
Compensation includes a strong base salary, a 10% annual performance bonus incentive, and very generous stock options that could be extremely valuable over time. The company pays 100% of medical / dental / vision for employees and almost 100% for dependents, and there are many other benefits as well.
All roles require US citizenship and a current TS/SCI security clearance. A TS/SCI + CI Poly is preferred but not required. Clearance crossover is NOT required for you to start working, however.
cjobs-cat:"IT - Data Science"