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Pinterest Machine Learning Engineer Jobs (NOW HIRING)

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Paylocity

Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

ProSidian Consulting

Machine Learning Engineer

Alexandria, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] candidates with relevant Government And Public Services Sector Experience ...

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All JobsPinterest Machine Learning Engineer Jobs

Pinterest Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do pinterest machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for pinterest machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

Staff Machine Learning Engineer, Applied Research

Pinterest

San Francisco, CA • On-site, Remote

$241K/yr

Full-time

Posted 16 days ago

Job description

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.

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

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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