PhD Machine Learning Internship 2027 (USA)
San Francisco, CA, US +4 · Internship · Posted Oct 1, 2026
- Location
- San Francisco, CA, US
Palo Alto, CA, US
Seattle, WA, US
New York, NY, US
San Francisco, CA, US - Education
- Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
About the job
Conduct applied machine learning and AI research, leading an independent project and contributing to Pinterest’s large-scale production ML systems and personalized experiences.
What you'll do
- Lead a research project from start to finish and apply findings to Pinterest problems.
- Work across production ML systems, including research, infrastructure, data engineering, training, inference, and product.
- Use AI tools and agents in engineering work, validate their outputs, and write clean, sustainable code.
What they ask for
- Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow).
- Proficiency with AI-native engineering, including designing agent-friendly codebases; ability to learn agent-first development tools and critically validate AI-generated suggestions.
- Research and analytical problem-solving experience; strong communication and teamwork skills.
Nice to have
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
- Interest in research and applying ML to real-world problems on the Pinterest product.
Pay
$12,100 monthly (base salary)
Tools
Java, C++, Python, Tensorflow, Pytorch, MLFlow
AI focus
Conduct machine learning and AI research for Pinterest; use frontier AI tools and agents to accelerate engineering, and validate AI-generated outputs.
Model-written summary · the original posting is authoritative