Machine Learning Engineer at HRL Laboratories

Lost Hills, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial IntelligenceIndustries

Requirements

Candidates must have an MS or Ph.D. in EE, Computer Science, Applied Math, or related fields. Required skills include research experience in machine learning, computer vision, or robotics, with specific expertise in areas like reinforcement learning, object detection, deep learning, transformers, and generative AI. Hands-on experience with Python, C/C++, machine learning tools (PyTorch, TensorFlow), and 3D simulation tools is necessary. Applicants must be U.S. Citizens or permanent residents and able to obtain a U.S. Government Security Clearance.

Responsibilities

The Machine Learning Engineer will perform R&D, engineering, and software development in machine learning, deep learning, computer vision, and robotics. Responsibilities include algorithm development, sensor data processing, data simulation, software implementation, hardware interfacing, and prototype development. The role also involves staying current with emerging trends, solving customer problems, writing invention disclosures and papers, briefing customers, writing proposals, conducting prototype demonstrations, and marketing HRL expertise.

Skills

Machine Learning

Deep Learning

Reinforcement Learning

Computer Vision

Robotics

Python

C/C++

PyTorch

TensorFlow

3D Simulation

Blender

Unreal

Omniverse

Convolutional Neural Networks

Transformers

Recurrent Neural Networks

Generative AI

Adversarial AI

Multimodal AI

Large Language Models

Object Detection

Semantic Segmentation

Pose Estimation

3D Reconstruction

Activity Recognition

Robotic Simulations

Multi-agent Decision Making

Embedded Processing

Path Planning

HRL Laboratories

Develops cognitive systems for human-machine collaboration

About HRL Laboratories

HRL Laboratories focuses on research and development of advanced cognitive systems and human-machine collaboration, enhancing human cognitive abilities through artificial intelligence (AI) and machine learning (ML). The company develops solutions like the ICArUS project, which improves machine interpretation of information, and the MEMES project, aimed at enhancing human memory. HRL operates on a project-based model, serving clients in defense and high-tech sectors by delivering customized solutions and licensing technologies. The goal is to lead in creating cognitive systems that improve the interaction between humans and machines.

Malibu, CaliforniaHeadquarters

1997Year Founded

$1.9MTotal Funding

GRANTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

Gym Membership

Paid Vacation

Risks

Competition in quantum technologies could challenge HRL's market position.

Rapid AI advancements by competitors may outpace HRL's cognitive systems projects.

Reliance on government contracts poses risks if funding priorities change.

Differentiation

HRL Laboratories excels in cognitive systems enhancing human-machine collaboration.

The company is a leader in AI-driven defense projects and autonomous systems.

HRL's MEMES project focuses on advanced memory enhancement technologies.

Upsides

Growing interest in neuromorphic computing aligns with HRL's cognitive systems focus.

Increased funding for AI-driven defense projects benefits HRL's autonomous systems work.

Energy-efficient data center trends support HRL's cooling system innovations.

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