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Staff Machine Learning Engineer, Applied Research
Summary by AIEngineer.careers
Staff Machine Learning Engineer, Applied Research is a AI Research Engineer role (full-time). with Pinterest. in REMOTE, SAN FRANCISCO, US. Compensation shown: $189K–$390K. Imported listing (source: builtinsf.com). Apply on the employer's site (builtinsf.com).
Imported listing (source: builtinsf.com) · Apply on builtinsf.com
REMOTE · SAN FRANCISCO · US
$189K–$390K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from builtinsf.com
Pinterest Labs is seeking a Staff Machine Learning Engineer to conduct applied research on multi-modal large language models and machine learning systems. The role involves solving challenges in NLP, computer vision, graph neural networks, and recommendation agents, with a focus on search, growth, and discovery. Collaboration with research scientists and engineering teams is central, and the work can be performed remotely from anywhere in the US with occasional in-person meetings.
Responsibilities
- Contribute to cutting-edge research in machine learning and LLM applied to Pinterest problems, especially search agents, recommendation agents, reasoning and planning agents.
- Collect, analyze, and synthesize findings from data and build intelligent data-driven models.
- 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.
Requirements
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
- 6+ years of industry experience.
- Experience in machine learning and information retrieval.
- Mastery of at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLFlow).
San Francisco · US · 4666+ employees
Pinterest is a visual search and discovery platform that allows users to find inspiration, curate ideas, and shop products on digital pinboards. It operates as a public social media company.
