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Staff Machine Learning Engineer (Applied Research)

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Hybrid

Staff Machine Learning Engineer (Applied Research)

Pinterest

Staff Machine Learning Engineer (Applied Research)

Skills

Deep LearningPythonJavaPyTorchTensorFlowMachine LearningAINLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Salary:

$189,308 – $389,753 / year

Location:

San Francisco, CA, USA

Work mode:

Hybrid

Published on:

13 August 2026

What they need


  • At Pinterest Labs, you’ll work on tackling new challenges in machine learning and multi-modal large language models along with a world-class team of research scientists, and machine learning engineers
  • You’ll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: natural language processing (NLP) and reasoning capability, computer vision for multi-modality, graph neural network, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems
  • 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- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Experience in machine learning/information retrieval
  • Comfortable solving ambiguous problems and adapting to a dynamic environment
  • Experience in research and in solving analytical problems
  • Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  • 6+ years of industry experience
  • Cross-functional collaborator and strong communicator

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