The selected candidate will join an existing team developing multiple projects under contract. The selected candidate is expected to grow into a leadership position such as release lead, project lead, or program deputy lead engineer.
In this role, you will develop machine learning, data mining, and statistical and graph-based algorithms and partner with Cloud technologists to ensure proper implementation and usage of said algorithms.
In this role, the selected candidate will ensure documented follow-up to all outstanding issues within monitoring management system ensuring appropriate issue escalation to line manager and project team members as necessary.
In this role, the selected candidate will be responsible for leading flavor applications and prototype development in a variety of products (i.e. bakery, savory, confectionary, etc.) and providing excellent flavor applications support for industrial customers.
The qualified candidate must have demonstrated skill in conceiving, planning and conducting research in problem areas of considerable scope and complexity requiring unconventional or novel approaches and sophisticated research techniques.
In this role, you will be responsible to develop applications using python and c++ or java. Apply machine learning and algorithm knowledge to client problems independently. Participate in and lead the running of experiments and documentation of results in technical or research whitepapers.
The selected candidate will design collection experiments, including space and airborne, and compare measured results with modeled data. Write scientific codes for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculations.
In this role, the successful candidate will produce periodic reports/briefs about metrics on collection performance, to include target environment, collection and exploitation, and data transport capabilities.
In this role, you will design and implement secure, scalable, and fault-tolerant solutions across a distributed architecture, with the objective of researching and developing machine learning approaches, especially deep learning, applicable across multiple domains.
In this role, you will solve hard research challenges in cybersecurity, such as automatically inferring malware functionality using machine learning, applying data visualization to support analysts in securing their networks, and developing scalable security solutions from our datasets.
In this role, the successful candidate will perform analysis of network architectures, protocols, and communications; or perform SIGDEV technology assessment and reporting, mission engineering, and target templating; or to provide information solutions support to intelligence analysis through database analysis, database development, web development, and software development.