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Machine Learning Engineer - Advanced AI and Cognitive Systems
HRL LaboratoriesQuantum Computing, company
Calabasas, United States$140,700 - $175,950Senior
General Motors
Boeing
United States Department of War
U.S. Office of Energy Efficiency and Renewable Energy
U.S. Department of Energy
DARPA
Data & AI
About the role
TL;DR
Machine Learning Engineer for advanced AI and cognitive systems research.
- •HRL Laboratories is seeking a Machine Learning Engineer to join a research team advancing next-generation intelligent systems.
- •This role focuses on machine learning, multimodal AI, cognitive state sensing, and cognitive modeling to develop adaptive software prototypes for mission-driven R&D programs.
- •Key Responsibilities Build AI models integrating 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.
- •Requirements MS or Ph.D. in Applied Math, Cognitive Science, or related fields. 3-5 years of applied ML/AI experience.
- •Experience with LLMs & Multimodal AI (Transformers, prompt design, fine tuning, RAG).
- •Experience with Machine Learning & AI (Supervised/unsupervised learning, RL; PyTorch/TensorFlow/JAX).
- •Experience with Data Analytics (Feature engineering, statistical modeling in Python).
Required skills
PythonPyTorchTensorFlowJAXDockerKubernetesLLMsNLPComputer Vision
Domain expertise
defenseai
Benefits & perks
medical, dental, vision, life insurance, 401K match, gym facilities, PTO, Sick time
Tech stack
PythonPyTorchTensorFlowJAXDockerKubernetesNLPComputer Vision
