Machine Learning Engineer

HRL Laboratories, an IBM company, 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 by IBM, 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.