34 machine learning engineer intern jobs at 6 companies in Berkeley, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Machine Learning Engineer Intern (Brand Ads) - 2026 Fall (BS/MS)
San Jose, California, United States
OnsiteInternship
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
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.
Halo Industries: Manufactures silicon carbide wafers using laser-based slicing technology.
0+ YOEPursuing or recent graduate in software/CS/engineering; Python or C# experience; works with structured workflows and large datasets; able to debug issues and follow processes.
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.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
Currently enrolled in a Masters or PhD in Data Science, Machine Learning, or Computer Science. Strong Java/JVM software development, algorithms, benchmarking, and experience with NoSQL tools (Lucene, Elasticsearch, OpenSearch, MongoDB, Solr).
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
Currently enrolled in a Masters or PhD in Data Science, Machine Learning, or Computer Science; strong algorithms and mathematical fundamentals; excellent Java/JVM development, debugging, and performance-analysis skills; experience with Lucene/Elasticsearch/OpenSearch/MongoDB/Solr; good communication. GPU/CUDA/C++ skills a plus.