# Staff Machine Learning Engineer, Applied Research

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $189k – $390k/yr
**Experience:** 7+ years
**Skills:** Machine Learning, LLMs, natural language processing, Computer Vision, graph neural networks, Reinforcement Learning, recommender systems, Python, Java, C++, TensorFlow, PyTorch, MLflow
**Posted:** 2026-07-31

> Staff Machine Learning Engineer conducting applied research on multi-modal LLMs, agents, NLP, computer vision, graph neural networks, and recommender systems to improve Pinterest search, recommendations, and discovery. Requires MS/PhD and 6+ years industry experience building production ML models.

## Job Description

## What you’ll do

- Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search agent, recommendation agent, reason and planning agent
- Collect, analyze, and synthesize findings from data and build intelligent data-driven model
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search
- Scope and independently solve moderately complex problems

## What we’re looking for

- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- 6+ years of industry experience
- Experience in machine learning/information retrieval
- Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience in research and in solving analytical problems
- Cross-functional collaborator and strong communicator
- Comfortable solving ambiguous problems and adapting to a dynamic environment

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