General Atomics Integrated Intelligence, Inc. (GA-Intelligence) is seeking Data Scientists to join their core product team to shape the future of situational awareness capabilities. The company processes petabytes of data from numerous streaming data sources in near real time, applying state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies. The goal is to provide end-users with a rich, live view of objects and a deep understanding of their activities, moving beyond just data to knowledge.
Requirements
- Must have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts.
- Prior experience with gym , Unity, Unreal, or some other simulation environments
- Researched or applied autonomy in a highly-latent, low-bandwidth, or otherwise resource constrained environment
- Trained deep reinforcement learning algorithms for coordination of multiple, autonomous goals
- Performed nonlinear optimization for resource allocation with dynamic uncertainty and/or non-observable variables
- Familiarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc)
- Proficiency in one or more of: Python, C++, Java, R, Julia, Matlab
Responsibilities
- Design, develop and program methods that integrate to systems that consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
- Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.
- Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements.
- Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.
- Interact with product and service teams to identify questions and issues for data analysis and experiments.
- Ability to understand and implement new models from the literature.
- Experience with geospatial data and analytics.
Other
- Communicate insights and findings from analysis and experiments to product, service, and business managers.
- Document findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.
- Represent the organization as a contact with internal and external representatives.
- Maintain the strict confidentiality of sensitive information.
- Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.
