TikTok: Global short-form video hosting and social media platform.
Currently pursuing a bachelor's or higher in CS or related field; strong ML foundation; programming in Go, C/C++, or Python; familiarity with Tensorflow/PyTorch/MXNet; able to commit to a 12-week summer internship.
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.
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.
Renesas ElectronicsTokyo Stock Exchange: 6723: Designs and manufactures semiconductors for automotive and industrial systems.
Currently pursuing a BS, MS, or PhD in a relevant technical field; strong Python skills; PyTorch or TensorFlow experience; knowledge of machine learning, deep learning, computer vision, and neural networks.
Python, PyTorch, TensorFlow, Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) Models, ONNX, TensorRT
Member of Technical Staff — ML Research, Interpretability
San Francisco, California, United States
OnsiteFull Time
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.
2027 Campus Recruiting General Intelligence Center Internship Position
Santa Clara or Mountain View
OnsiteInternship
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
Internship opportunities span AI and machine learning, AI infrastructure, and software engineering, including foundation models, pretraining, VLA, VLM, LLM, and reinforcement learning.