Doctorate Internship in distributed and multi-domain autonomous systems

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art.

GENERAL DESCRIPTION:

Assist technical staff in the development and testing of machine learning and game-theoretic algorithms for decision making in distributed and multi-domain autonomous systems.

ESSENTIAL DUTIES:

Primary job function is to develop and implement cutting-edge and novel algorithms for autonomy functions, such as distributed decision making and predictions relevant to mission readiness and sustainment, and validate them using simulated and real data. Additional job functions include writing invention disclosures, publishing papers, and making presentations.

MINIMUM REQUIREMENTS:

Experience coding in Python. Some familiarity with machine learning and game-theory.

EDUCATION DESIRED:

Graduate students in Computer Science, Applied Mathematics, Machine Learning or related fields.

SPECIAL REQUIREMENTS:

This position must meet Export Control compliance requirements, therefore a U.S. Person as defined by 22 C.F.R. § 120.15 is required. U.S. Person includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.