PhD Machine Learning Internship 2027 (USA)

📋 Description

• Lead your own project start to finish to contribute in cutting-edge research in machine learning
• Gain hands-on experience with production ML systems, including algorithmic research
• Leverage frontier AI tools and agents to accelerate engineering implementation, including
• Validate AI-generated outputs through testing, code review, and critical thinking, ensuring
• Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or
• Contribute in cutting-edge research in machine learning and artificial intelligence that can be

🎯 Requirements

• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow
• Proficiency with AI-native engineering, including the design of agent-friendly codebases
• High degree of autonomy in learning new agent-first development tools
• Strong critical thinking when working with AI-generated suggestions, with a clear approach to
• Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the