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29 machine learning engineer intern jobs at 5 companies in San Mateo, CA

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Machine Learning Engineer Intern
Santa Clara, California, United States
$19-$65/hr OnsiteInternship
PlusAI
PlusAI: AI-based virtual driver software for factory-built autonomous trucks.
Internship requiring ML/NLP knowledge, Python, data engineering, and RAG experience; strong communication and teamwork.
Python, Open-source LLMs, RAG, ETL, SQL, NoSQL, Hugging Face
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3w
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Machine Learning Engineer Intern (Brand Ads) - 2026 Fall (BS/MS)
San Jose, California, United States
OnsiteInternship
TikTok
TikTok: Global short-form video hosting and social media platform.
Currently pursuing a BS/MS in CS or related field; strong programming in Go, C/C++, or Python; experience with machine learning, data analysis, or large-scale systems; able to commit to a 12-week onsite internship in 2026.
Go, C/C++, Python, Machine Learning, Deep Learning, NLP
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Machine Learning Software Engineer Intern - Winter 2027
San Francisco or New York City
HybridInternship, Temporary
Rippling
Rippling: Unified platform managing workforce HR, IT, and finance operations
Currently enrolled in an M.Sc. or Ph.D. in computer science or related field; strong backend programming skills (Python, PySpark, PyTorch); ML experience, LLM familiarity preferred; excellent communication and learning mindset.
Python, PySpark, PyTorch, LLMs
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3w
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Machine Learning Engineer Project Intern (Security-Data) - 2026 Start (BS/MS)
San Jose, California, United States
OnsiteInternship
ByteDance
ByteDance: Developing AI-driven content platforms and mobile applications.
Pursuing a BS/MS in CS, CE, Security, Statistics, AI or other STEM; proficient in C++/Java/Python; experience with big data tools (Hive, SQL, Spark, Flink); knowledge of ML algorithms.
C++, Java, Python, Hive, SQL, Spark, Flink
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1w
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Member of Technical Staff — ML Research, Interpretability
San Francisco, California, United States
OnsiteFull Time
Causal Labs
Causal Labs: Building physics-based causal AI models for predictive weather intelligence.
Experience in machine learning and neural network internals, interest or experience in interpretability and representation analysis, strong engineering skills, and a hypothesis-driven research approach.
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