Machine Learning Engineer - Advanced AI and Cognitive Systems

HRL Laboratories; Calabasas (CA); On-site; USD 140,700 - 175,950; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K match

Paid time off

Job summary

HRL Laboratories in California is seeking a researcher to advance next‑generation intelligent systems, focusing on machine learning, multimodal AI, cognitive state sensing, and cognitive modeling.

You will develop adaptive software prototypes for mission‑driven R&D programs, lead engineering and software development efforts, and contribute to proposals, publications, and customer briefings.

Qualifications

• 3-5 years of applied ML/AI experience.
• Experience with government funded R&D programs (DARPA/IARPA/ARPA H) is a plus.
• Strong interdisciplinary communication and collaboration skills.
• Ability to work in fast paced, exploratory research environments.

Responsibilities

• Lead and contribute to research, engineering, and software development efforts in AI/ML, cognitive state sensing, and multimodal data integration.
• Build AI models that integrate neurophysiological, behavioral, and sensor data for cognitive aware decision support.
• Apply cognitive science to improve explainability, trust, and human-AI collaboration.
• Contribute to proposals, publications, invention disclosures, and customer briefings.

Skills

Machine Learning

Cognitive Modeling

LLMs & Multimodal AI

Interdisciplinary communication

Data Analytics

Education

MS or Ph.D. in Applied Math or Cognitive Science

Tools

Docker

Kubernetes

PyTorch

TensorFlow

JAX

Job description

HRL Laboratories 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 to help them remove limitations and create competitive advantage. HRL then transitions the work back to customers - ready for real-world application. For more than 70 years, HRL's rich portfolio of scientific discoveries and engineering innovations continues to build on each other - often in unexpected, profound and far-reaching ways. As a private company owned jointly by Boeing and GM, HRL prioritizes purpose over profit, significantly advancing the state of the art.

HRL Laboratories develops robust intelligent systems that deliver adaptable, autonomous performance improvement solutions for complex missions. Our teams advance human-machine synergy, operationalized machine learning models and complex systems analytics and agents to create scalable, secure technologies. We design novel algorithms and mission-ready solutions that strengthen decision making for autonomous and human-guided systems across national security and commercial applications.

Position Summary:

Join a research team advancing next generation intelligent systems. This role focuses on machine learning, multimodal AI, cognitive state sensing, and cognitive modeling. You will help develop adaptive software prototypes for mission driven R&D programs.

Essential Duties:

Lead and contribute to research, engineering, and software development efforts in the following areas:

• Build AI models that integrate neurophysiological, behavioral, and sensor data for cognitive aware decision support


• Develop algorithms for cognitive state estimation and user modeling


• Apply cognitive science to improve explainability, trust, and human AI collaboration


• Contribute to proposals, publications, invention disclosures, and customer briefings


• Demonstrate prototypes and support capability outreach

Required Qualifications:

Candidates should have experience in one or more of the following areas:

• Human Machine Interaction: Cognitive architectures, neurophysiological sensing, behavioral analytics, human subjects methods


• Cognitive Modeling: Cognitive state estimation and computational models.


• LLMs & Multimodal AI: Transformers, prompt design, fine tuning, RAG, with emphasis on integrating human state and environmental context.


• Software Engineering: Scalable systems, APIs, Docker, and containerized environments (Docker, Kubernetes).


• Machine Learning & AI: Supervised/unsupervised learning, RL; PyTorch/TensorFlow/JAX.


• Data Analytics: Feature engineering, statistical modeling in Python.


• MS or Ph.D. in Applied Math, Cognitive Science, or related fields.


• 3-5 years of applied ML/AI experience.


• Experience with government funded R&D programs (DARPA/IARPA/ARPA H) is a plus.


• Strong interdisciplinary communication and collaboration skills.


• Ability to work in fast paced, exploratory research environments.


• Curiosity driven mindset with a passion for solving complex problems.

Special Requirements:

• U.S. Citizenship with the ability to obtain and maintain a U.S. Government Security Clearance

Compensation and Benefits:

• Pay Range: $140,700 - $175,950


• Our salary ranges are determined by role, level, and location (California). The range displayed on each job posting reflects the target range 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.


• Benefits: HRL offers a generous and very competitive total compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, Sick time, upward mobility, and an exciting and challenging work environment.


• For more information about our company benefit offerings please visit: https://www.hrl.com/careers/benefits

Non-Discrimination and Equal Employment Opportunities (U.S.):

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.

If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to Employees & Job Applicants | U.S. Equal Employment Opportunity Commission

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