Research Internships in Seattle, USA

“Research Science Internship at (COMPANY NAME) for PhD students, focusing on ML/AI, statistical modeling, and data analysis. 3-month role in US locations (e.g., Seattle, NYC, Boston) with mentorship, hands-on research, and impactful projects. Competitive compensation included.”

“(COMPANY NAME) offers a 3-month Applied Science Internship in NLP, speech tech, and AI research for PhD students. Work on cutting-edge projects with mentorship, production-scale data, and competitive pay ($10k). Positions in multiple US locations.”

“(COMPANY NAME) offers a 3-month Applied Science Internship in Computer Vision for PhD students in the US. Role involves developing AI algorithms for services like Rekognition and (COMPANY NAME) Go, with mentorship and cutting-edge resources. Positions available in multiple US cities.”

“(COMPANY NAME) offers a 3-month Applied Science Internship in Information & Knowledge Management (ML) for PhD students. Role involves developing ML frameworks, NLP, and knowledge graphs in US locations like Seattle or New York. Focus on scalable data analysis, model validation, and cutting-edge AI research with mentorship from industry experts.”

“(COMPANY NAME) Science offers a 3-month full-time Applied Science Internship in the US for Master's students in ML, NLP, computer vision, or robotics. Work on large-scale projects with scientists, design systems, and deploy solutions. Relocation/housing assistance provided for non-local candidates.”

“(COMPANY NAME) offers a 12-week full-time Applied Science Internship (40h/week) in Recommender Systems/Information Retrieval (ML) for PhD students. Position available in multiple US locations (e.g., Seattle, Arlington, Boston). Focus on deep learning, NLP, and large-scale systems. Competitive compensation likely, but not specified.”

“(COMPANY NAME) offers a 3-month Applied Science Internship in Reinforcement Learning & Optimization for PhD students. Focus on deep RL, ML algorithms, and research in Arlington, WA, NY, CA, or VA. Competitive USD compensation, state-of-the-art resources, and mentorship from industry experts.”

“(COMPANY NAME) offers a 12-month Applied Science Internship in Gen AI & LLMs for PhD students in the US. Role involves cutting-edge research in NLP, transformers, and generative AI with mentorship from experts. Positions available in multiple US locations.”

“(COMPANY NAME) offers a 12-week paid summer internship (May-Aug 2027) in Seattle for Research Interns in AI tools and systems. Requires full-time commitment, returning to studies by Aug 2028. Focus on building AI tools for research workflows. No visa sponsorship available.”

“(COMPANY NAME) offers a PhD-candidate research internship in robotics at its Seattle lab. Focus on manipulation, loco-manipulation, and AI models. Compensation: $38-$94/hour. Requires strong research track record in top-tier conferences. Internship benefits included.”

“(COMPANY NAME) offers a 3-month Applied Science Internship in Automated Reasoning for PhD students. Role involves formal methods, theorem proving, and AI safety research in Arlington, VA, Boston, MA, and other US locations. Competitive compensation included.”

“ByteDance's DPU team offers a 6-month PhD internship in AI Compute infrastructure. Focus on cloud-native GPU orchestration, LLM inference systems (vLLM, TensorRT-LLM), and high-performance networking/storage. Work on cutting-edge research with industry experts in a dynamic, collaborative environment.”

“PhD internship in Machine Learning Research Science at a company's AI for Science team. Focus on atomistic AI for biology, physics, and materials science. Responsibilities include tracking research, integrating ML with quantum chemistry, and translating outcomes into practical applications. Rolling application review.”

“Internship opportunity at (COMPANY NAME)'s Trust and Safety team for a PhD candidate starting in 2027. Focus on multimodal foundation models, MoE architectures, and RL-driven agentic moderation systems to combat negative content globally. Involves cutting-edge AI research and scalable ML systems for content moderation.”