Our technologies operate in space, on aircraft, in automobiles, and in a variety of consumer products.
The Role
The role involves R&D and software development in machine learning, focusing on algorithm development, data processing, and prototype development for various applications.
Summary Generated by Built In
General Description:
This is an exciting role that offers the chance to make immediate impact on our innovative projects.
Essential Duties:
Primary job function is to perform R&D, engineering, and software development in machine learning, deep learning, reinforcement learning, computer vision, robotics, and other related areas.
Tasks will include algorithm development, sensor data processing, data simulation, software implementation, hardware interfacing, and prototype development for a variety of applications.
Additional job functions include staying up to date on emerging trends in machine learning, solving customer problems, writing invention disclosures, publishing papers, briefing customers, writing proposals, conducting prototype demonstrations, and assisting in marketing HRL expertise.
Required Skills:
Research experience in one or more of the following areas in machine learning, computer vision, or robotics: reinforcement learning, object detection, semantic segmentation, pose estimation, 3D reconstruction, activity recognition, validation & verification, robotic simulations, multi-agent decision making for autonomous systems.
Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Hands-on experience with Python, C/C++, machine learning tools and packages (e.g., PyTorch, TensorFlow), 3D simulation and modeling tools (e.g., Blender, Unreal, Omniverse).
Expertise in Deep Learning, Convolutional Neural Networks, Transformers, Recurrent Neural Networks, Generative AI, Adversarial AI, Multimodal AI, Large Language Models, Reinforcement Learning.
Expertise in computer vision, 2D or 3D object recognition, pose estimation, robotic control and path planning, embedded processing.
Required Education:
MS or Ph.D. in EE, Computer Science, Applied Math or related fields.
Special Requirements:
U.S. Citizenship with the ability to obtain and maintain a US Government Security Clearance, or permanent resident status required.
Compensation:
The base salary range for this full-time position is $145,745 - $186,688 + 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. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.”
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Top Skills
Blender
C/C++
Omniverse
Python
PyTorch
TensorFlow
Unreal
What the Team is Saying
Sadaf
Engineer
Ethan
Engineer
Brian
Engineer
Harut
Engineer
Mak
Engineer
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The Company
What We Do
HRL Laboratories, LLC, Malibu, California, (hrl.com) pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers. As a private company owned jointly by Boeing and GM, HRL is a source of innovations that advance the state of the art in profound and far-reaching ways.
Why Work With Us
Our success is the result of our collaborative team of researchers, many of whom are the leading experts in their fields. Through their insights in support for our customers, we are finding the unique opportunities in technology.
Gallery
HRL Laboratories Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Hybrid Policy is role specific.
Typical time on-site:
Flexible
