Machine Learning Research Scientist
Peraton Overview
Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our 22,000 employees do the cant be done, solving the most daunting challenges facing our customers.
Qualifications
Requires 8 to 10 years with BS/BA or 6 to 8 years with MS/MA or 3 to 5 years with PhD.
The candidate must have experience with machine learning and natural language processing. A strong background in Python programming and experience using associated libraries and functions (e.g., SpaCy, NumPy, Scikit-learn) are required.
Candidate must have working knowledge of database technologies. Experience with graph databases and knowledgebase tools (e.g., Neo4j) is desirable. Understanding of large-scale data issues (e.g., scalability, performance, etc.) is preferred. Familiarity with agile programming methodology desirable.
**US Citizenship required for this position.
Initial job period is for eight months. Extension of duration and/or conversion into regular employee status are possible but not guaranteed.
Responsibilities
Initiates the design, development, execution and implementation of technology research projects, with a focus on machine learning and natural language processing. Investigates the feasibility of applying scientific and mathematical principles and concepts to data analytics. Plans and executes projects in an independent manner. Maintains substantial knowledge of state-of-the-art principles and tehnologies.
Initial job period is for eight months. Extension of duration and/or conversion into regular employee status are possible but not guaranteed.
Place of Performance: Washington DC area
Industry
Posted: 2021-06-27 Expires: 2023-10-01