Causal Inference and Reasoning Scientist

Lost Hills, CA /
Science & Engineering - Intelligent Systems Laboratory – Intelligent Systems /
Regular
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:
Come work with highly motivated scientists and engineers on multidisciplinary teams performing state-of-the-art research and development in the fields of quantitative causal inference and counterfactual reasoning. Create advances in new areas such as causal reinforcement learning and the intersection of causal inference and machine learning/reasoning.

MINIMUM REQUIREMENTS:
Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.

EDUCATION DESIRED:
Ph.D. in Computer Science, Data Science, Network Science, Applied Math, Statistics, EE or related fields

ESSENTIAL JOB FUNCTIONS:
Perform research and development in the fields of quantitative causal inference and counterfactual reasoning, causal reinforcement learning, and the intersection of causal inference and machine learning/reasoning (including computer vision, natural language processing). Process and gain insight from large amounts of multimodal relational data (e.g. time-series, text, images, graphs, spatio-temporal processes). Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.

EXPERIENCE DESIRED:
Research experience developing and implementing causal inference and counterfactual reasoning, causal reinforcement learning, machine learning/reasoning, data mining algorithms and software tools. Experience developing innovative solutions based on the application of relevant research results from a wide variety of literature i.e. from theory to software. Experience working on projects requiring group software development and version control is a plus. Experience in using machine learning tools and packages (e.g., Caffe, PyTorch, TensorFlow, Sklearn), COTS reinforcement learning simulators (e.g. OpenAI, PettingZoo, etc.), and distributed software (e.g. Ray, Python multi-processing) is a plus.

KNOWLEDGE DESIRED:
Background in causal inference and one or more of the following areas: machine learning, machine reasoning, computer vision, network science/graph theory, text mining, statistics. Strong Python programming skills, proficiency with Unix-based systems, in addition to R, C/C++, Java, and/or Matlab.

ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS:
Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.

SPECIAL REQUIREMENT:
U.S. citizenship or permanent resident status required.

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.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

For our privacy policy please visit : www.hrl.com/privacy