6 machine learning researcher jobs at 4 companies in Ventura, CA
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Machine Learning Research Engineer - Central Technology
Sherman Oaks or California
$79k-$147k/yrHybridFull Time
MicrosoftNASDAQ: MSFT: Develops computer software, consumer electronics, and video games.
3+ YOEMaster’s degree or equivalent experience in a relevant quantitative field, 3+ years applying data science and machine learning, production ML and large-scale data experience, Python, SQL, and strong communication skills.
Machine Learning Engineer - Advanced AI and Cognitive Systems
Calabasas, California, United States
$141k-$176k/yrOnsiteFull Time
HRL Laboratories: Conducts advanced scientific research for aerospace and automotive industries.
3+ YOE3–5 years applied ML/AI experience; expertise in multimodal AI, cognitive modeling, HMI, scalable software, and government R&D a plus. U.S. citizenship and ability to obtain security clearance required.
Machine Learning Engineer, Generative ML , Level 5
Los Angeles or Santa Monica or New York
$209k-$313k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
5+ YOE5+ years ML experience (post-Bachelor) or advanced degree with equivalent experience; strong software skills in Python or C++; proficiency with PyTorch or TensorFlow; ML research/engineering experience in generative models and related areas.
Agentic AI & Graph Machine Learning Research Engineer
Calabasas, California, United States
$128k-$160k/yrOnsiteFull Time
HRL Laboratories: Conducts advanced scientific research for aerospace and automotive industries.
3+ YOEM.S.+3 years in AI/ML, strong ML/NLP/foundation model background, experience with agentic LLM systems, graph machine learning, knowledge graphs, Python and PyTorch, and ability to obtain US security clearance.
Computational Scientist, Metal Additive Manufacturing
Malibu, California, United States
$141k-$176k/yrOnsiteFull Time
HRL Laboratories: Conducts advanced scientific research for aerospace and automotive industries.
PhD or postdoctoral experience in materials science, mechanical engineering, or related field; computational modeling, FEA, programming, machine learning, and scientific communication experience required.