Cognitive AI Systems Engineer

HRL Laboratories, LLC

Calabasas (CA)

On-site

USD 141,000 - 176,000

Full time

2 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
401K match
Gym facilities
Paid time off

Job summary

HRL Laboratories, LLC is seeking a researcher to advance next-generation intelligent systems across cognitive state sensing, multimodal AI, and adaptive software prototypes for mission-driven R&D programs.

You will lead research and engineering efforts in HMI, cognitive modeling, and LLM-driven scenarios, collaborating across disciplines to improve explainability and human-AI collaboration. A strong academic background and 3–5 years in ML/AI are expected.

Qualifications

  • MS or PhD 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.
  • Excellent collaboration and communication skills.

Responsibilities

  • Lead and contribute to research, engineering, and software development efforts.
  • Build AI models integrating neurophysiological and sensor data for cognitive decision support.
  • Develop cognitive state estimation and user modeling algorithms.
  • Demonstrate prototypes and support capability outreach.

Skills

Human Machine Interaction
Cognitive Modeling
LLMs & Multimodal AI
Software Engineering
Machine Learning & AI
Data Analytics
Interdisciplinary Communication
Curiosity & Problem Solving

Education

MS or PhD in Applied Math / Cognitive Science

Tools

Docker
Kubernetes
PyTorch
TensorFlow
JAX

Job description

HRL Laboratories, LLC is seeking a researcher to advance next-generation intelligent systems across cognitive state sensing, multimodal AI, and adaptive software prototypes for mission-driven R&D programs.

You will lead research and engineering efforts in HMI, cognitive modeling, and LLM-driven scenarios, collaborating across disciplines to improve explainability and human-AI collaboration. A strong academic background and 3–5 years in ML/AI are expected.

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