Pinterest

Headquarters: Palo Alto, CA, US; Remote, US

This role focuses on advancing the science and systems behind ML measurement, feature understanding, and causal inference at scale. The work spans areas such as production feature importance platforms, observational causal estimation in Pytorch, large-scale proxy metric development, and data-driven approaches to ML infrastructure efficiency. We're looking for an enthusiastic individual contributor to perform high-impact technical work across this space. This person will drive foundational innovations, own the end-to-end design of production ML systems, establish rigorous methodological standards, and partner cross-functionally to turn successful research into durable platform capabilities that raise the ceiling for the entire ML organization.

What you’ll do:

We are looking for an experienced and highly capable Data & Applied Scientist to help us drive step function improvements in our ML capabilities at Pinterest. 

In this role, you will:

• Translate research-grade DS workflows (e.g., proxy metrics, staleness models) into production ML pipelines using Airflow, WandB & Ray while establishing reusable patterns for other teams.
• Apply and productionize causal inference methods using the production ML stack (propensity scoring, IPW, TMLE) to address high-stakes measurement questions beyond experimental capabilities. Build self-serve tooling to empower non-experts to derive rigorous causal insights at scale.
• Partner with ML engineers and product teams to identify opportunities for improved tooling, metrics, and measurement methods, unlocking step-change improvements in model quality and business outcomes.
• Leverage Pinterest's rich metadata and engagement signals to build data-driven frameworks, from feature importance to content deindexing, that improve platform efficiency and speed.
• Design and build centralized ML platform tooling to improve feature and model creation, evaluation, and trust, including production systems that operate daily at scale across all models.

What we’re looking for:

• 2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer, with significant ML production experience.
• Strong Python skills; experience with PyTorch or equivalent deep learning frameworks; familiarity with distributed compute (Spark, Ray). Ray specifically is a strong plus.
• Enthusiasm for buildin

Headquarters: San Francisco, CA, US; Remote, US

Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business.

We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions.

What you’ll do:

In this role, you will partner closely with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure:

• Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest’s infrastructure systems.
• Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.
• Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements where needed.
• Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.
• Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.
• Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.
• Identify opportunities to improve how Pinterest measures and optimizes infrastructure across a range of domains, such as performance, shopping infrastructure, governance, metrics quality, and site reliability.
  
  

What we’re looking for:

• Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience.
• Stro

Headquarters: San Francisco, CA, US; Remote, US

We’re looking for an early-to-mid career Content Designer to join our Personalization team. You’ll help design personalized experiences that help people discover ideas they’ll love, while preserving the moments of serendipity that makes Pinterest unique. As a Content Designer II, you’ll work on surfaces like Homefeed to help users understand, navigate, and trust experiences that adapt to their interests, behaviors, and needs.

Content Designers at Pinterest are advocates for the user experience. We use language, information hierarchy, and content strategy to shape product experiences. The ideal candidate is a thoughtful content designer who understands how content can influence the direction of an experience, transform complexity into clarity, and create meaningful experiences at scale.

What you’ll do:

• Partner with Product, Design, Engineering, Research, Data Science, and more to shape personalized experiences across Pinterest, including Homefeed and other discovery surfaces.
  
  
• Apply content design, information design, and user-centered thinking to create and refine product experiences that help people discover ideas, understand recommendations, and engage with personalized experiences.
  
  
• Leverage research, data, and user insights to inform content decisions and identify opportunities to improve the Pinterest experience.
  
  
• Contribute to scalable content frameworks, patterns, and standards that help create clear, consistent, and trustworthy personalized experiences.
  
  
• Help create transparent, user-centered experiences by using language to explain why people are seeing content and how they can shape their experience.
  
  
• Explore and apply emerging AI tools and prompting approaches across the content design process (from discovery and concepting through evaluation and iteration) to improve decision quality, craft, and efficiency while applying strong content design judgment and user-centered thinking.
  
  
• Contribute to the broader Content Design practice by sharing learnings, evolving team best practices, and strengthening how we approach personalization at Pinterest.

What we’re looking for:

• 3+ years of experience in user-focused product content design, ideally with experience designing complex, data-informed, or personalized experiences.
  
  
• A Content Designer who goes beyond the string to help sh