Posted by employer 2 years ago
First seen on Joblaze 6 months ago
Last verified on the company career page 2 hours ago
Skills & Technologies
Requirements
- Experience
- 4+ years
- Education
- Master's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 15, 2026. Last confirmed on Pinterest's careers page October 27, 2026.
- Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
- Starts above 34% of 68 comparable senior ai/ml roles in United States that list Machine Learning we track (median $208,000 across 37 companies). See Machine Learning salary trends
- Machine Learning appears in 18.5% of 551 comparable senior ai/ml roles in United States; graph representation learning appears in 0.2% of 551 comparable senior ai/ml roles in United States.
Quick facts
- Is the Sr. Machine Learning Engineer, Core Engineering role remote?
- Yes — Pinterest lists this as a fully remote position.
- What's the salary range?
- Pinterest lists $189,721–$332,012 for this role.
- How much experience is required?
- At least 4 years of relevant experience for this Sr. Machine Learning Engineer, Core Engineering 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, Core Engineering role at Pinterest.
From the original posting
About Pinterest:
With more than 500 million users around the world and 300 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.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Our Commitment to Inclusion:
Standard company text repeated across Pinterest's postings is omitted here.