Machine Learning Engineer

Key Skills

C++, DevOps, Docker, Effective communication skills, Keras software library, Machine learning techniques, Python Programming, PyTorch, ROS1, TensorFlow, Theano

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. 

Essential Job Functions:

Primary job function is research software development of machine learning algorithms for autonomous air, ground, and underwater platforms. Must be efficient and capable to operate in dynamic research environment with rapidly evolving software. Task will include module research and development, module interface definition, system implementation, coordination across small and medium sized teams for continuous integration, unit testing, machine/reinforcement learning training, sub-system test, overall system test in simulation and on real-vehicles, data capture and partitioning for complex scenarios.

Experience Desired:

Essential: software engineering for autonomous systems or similar complex systems, familiarity with simulation integration, training, and testing for autonomy. Primary development is in Python and C++. Knowledge of machine learning, and experience with automated software development operations are desired. Must be capable of writing clean, fast, reliable, testable, and highly scalable code. 

Knowledge Desired:

Background in the following areas: Machine Learning, Python, C++, ROS, Docker, and Continuous Integration DevOps tools (GitLab/Pipelines). Desired knowledge of ML and AutoML tools including one or more of Tensorflow, Theano, PyTorch, Keras, and one or more of the following: auto-sklearn, auto-keras, auto-pytorch, tpot. Desired knowledge of architectures and software AV stacks for ground, air, or underwater autonomous vehicles, robotic manipulator systems, software systems and development methods and methods for training and testing in simulation and with real platforms. 

Education Desired:

MS or Ph.D. in EE, Computer Science, Robotics, Applied Math, Physics, or related fields.

Essential Physical/Mental Requirements:

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

Special Requirements:

Must be a US Person.

Compensation:

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. § 120.15is 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.