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Pinterest

Senior Machine Learning Engineer

Pinterest

. Build cutting-edge technology using advances in deep learning and machine learning to personalize Pinterest .

Posted 10/5/2026full-timeRemote • California • United StatesSenior💰 $277,000 - $332,012 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in deep learning and machine learning, with a strong focus on recommendation algorithms and data-driven methods. Proficient in leveraging advanced technologies such as Pytorch, Tensorflow, and Natural Language Processing to enhance content understanding and improve model performance.

Highest-signal resume keywords
Master's Degree In Computer SciencePytorch ExperienceTensorflow ExperienceRecommendation Algorithms ExperienceNatural Language Processing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Deep LearningMachine LearningPythonJavaSQLRMATLABScikit-learnHiveLATEX
Tools & Technologies
GitSpark
Industry Keywords
Recommendation SystemsData-Driven MethodsContent UnderstandingRapid ExperimentationHigh-Impact Environment

Tech Stack

Tools & technologies
JavaPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact
  • Build cutting-edge technology using advances in deep learning and machine learning to personalize Pinterest
  • Partner with teams across Pinterest to experiment with and improve ML models for Homefeed, Ads, Growth, Shopping, and Search
  • Use data-driven methods and Pinterest’s data to improve candidates’ retrieval and ranking
  • Work in a high-impact environment with rapid experimentation and product launches
  • Keep up with industry trends in recommendation systems
  • Leverage LLMs and embeddings to enhance content understanding

Requirements

What you’ll need
  • Master’s degree (or foreign degree equivalent) in Computer Science, Statistics, or closely related quantitative discipline
  • Three (3) years of experience in the job offered or a related software engineering field
  • At least three (3) years of experience with Pytorch
  • At least three (3) years of experience with Tensorflow
  • At least three (3) years of experience with LATEX
  • At least three (3) years of experience with Scikit-learn
  • At least three (3) years of experience with SQL
  • At least three (3) years of experience with Python
  • At least three (3) years of experience with Java
  • At least three (3) years of experience with Hive
  • At least three (3) years of experience with Recommendation Algorithms
  • At least three (3) years of experience with git
  • At least three (3) years of experience with Spark
  • At least three (3) years of experience with R
  • At least three (3) years of experience with MATLAB
  • At least three (3) years of experience with Natural Language Processing
  • At least three (3) years of experience with Deep Learning
  • US based applicants only

Benefits

Comp & perks
  • Equity eligibility
  • Flexible work arrangements
  • Medical or religious accommodation support
  • Equal opportunity employment protections