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# Machine Learning Engineer - Advanced AI and Cognitive Systems

- **Company:** Hrl Laboratories Llc
- **Location:** Calabasas, CA, United States
- **Experience:** Experienced
- **Salary:** $140,700.0 - $175,950.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cognitive Science, Computer Simulation, Decision Support Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Containerization, Kubernetes, Data Analytics, Docker, Unsupervised Learning
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8e4bc5db40f6f75e

## About the Role

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

## Description

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., 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


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