PhD ML Internship - Remote/Hybrid, Paid, Mentorship

Pinterest; New York (NY); Ibrido; USD 123.000 - 147.000; Tempo pieno

Descrizione del lavoro

Pinterest is offering a 12-week paid machine learning internship with fixed start dates in May or June 2027. The role can be remote or hybrid in San Francisco, Palo Alto, New York, or Seattle, and focuses on building personalized experiences with ML and AI across areas like image recognition, recommender systems, NLP, and big data analytics.

As an intern, you’ll own projects end-to-end, work with production ML systems, prototype AI tools, validate outputs, and learn from mentors in a

Competenze

• PhD candidate in CS/ML/NLP/Statistics or related field.
• Proficiency in at least one systems language (Java, C++, Python) or ML framework (TensorFlow, PyTorch, MLFlow).
• Strong autonomy with AI-native engineering and agent-first tool design.
• Proven ability to learn new tools independently and iterate on prompts.
• Experience in research and solving analytical problems.

Mansioni

• Lead or contribute to cutting-edge ML/AI research applicable to Pinterest.
• Develop production ML systems, including data pipelines and model training.
• Prototype and experiment with frontier AI tools and agents.
• Validate AI outputs with rigorous testing and code reviews.
• Collaborate with teammates and mentors to deliver results.

Conoscenze

Java

C++

Python

TensorFlow

PyTorch

MLFlow

AI-native engineering

Prompt refinement

Research experience

Strong communicator

Formazione

PhD candidate in CS/ML/NLP/Statistics

Strumenti

TensorFlow

PyTorch

MLFlow

Java

C++

Python

Descrizione del lavoro

Pinterest is offering a 12-week paid machine learning internship with fixed start dates in May or June 2027. The role can be remote or hybrid in San Francisco, Palo Alto, New York, or Seattle, and focuses on building personalized experiences with ML and AI across areas like image recognition, recommender systems, NLP, and big data analytics.

As an intern, you’ll own projects end-to-end, work with production ML systems, prototype AI tools, validate outputs, and learn from mentors in a