Causal Inference and Reasoning Scientist

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.

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.

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.

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.

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

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.

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.

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

Good communication (verbal and written) skills, active participation in R&D team activities is required.

Able and willing to occasionally travel.

U.S. Person.

The base salary range for this full-time position is $104,000 - $174,000 + bonus + benefits.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed reflect the base salary only, and do not include potential bonus or benefits.

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