Joblaze summary

In this role, the Sr. Machine Learning Engineer at Pinterest focuses on developing advanced machine learning models to enhance user personalization across various product surfaces. Candidates should have substantial experience in machine learning techniques, data processing pipelines, and big data technologies, ideally with a background in computer science or related fields. This position is suited for professionals with over four years of industry experience who are passionate about applying machine learning in innovative ways. Pinterest's small, dynamic teams provide a unique opportunity to work with vast datasets and contribute to impactful projects.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Pinterest's careers page October 31, 2026.
Machine Learning appears in 17.7% of 1058 comparable senior ai/ml roles; graph representation learning appears in 0.2% of 1058 comparable senior ai/ml roles.

Quick facts

Is the Sr. Machine Learning Engineer, Growth Science role remote?: Yes — Pinterest lists this as a fully remote position.
How much experience is required?: At least 4 years of relevant experience for this Sr. Machine Learning Engineer, Growth Science role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Deep Learning, Hadoop, Machine Learning, Natural Language Processing, Spark, graph representation learning.
What seniority level is this role?: Pinterest targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Machine Learning Engineer, Growth Science role at Pinterest.

From the original posting

About Pinterest:

With more than 600 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

What you’ll do:

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
Work in a high-impact environment with quick experimentation and product launches
Keeping up with industry trends in recommendation systems

What we’re looking for:

4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
Degree in computer science, machine learning, statistics, or related field

Nice to have:

- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

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Our Commitment to Inclusion:

Standard company text repeated across Pinterest's postings is omitted here.

Sr. Machine Learning Engineer, Growth Science

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