Sr. Machine Learning Engineer, Core Engineering

Pinterest; San Francisco (CA); On-site; USD 189,721 - 332,012; Full time

Job summary

Pinterest is seeking a Machine Learning Engineer in San Francisco, California. In this role, you will build cutting edge technology leveraging machine learning to personalize user experience across various product surfaces.

The ideal candidate has over 4 years of experience in applying machine learning methods and expertise in building data processing pipelines. Salary ranges from $189,721 to $332,012 USD. The position is not eligible for relocation assistance.

Qualifications

• 4+ years of industry experience applying machine learning methods.
• Hands-on experience with large-scale machine learning systems.
• Expertise in scalable real-time systems that process stream data.

Responsibilities

• Building technology using deep learning and machine learning.
• Partnering with teams to improve ML models.
• Experimenting and launching products quickly.

Skills

Machine learning methods

Data processing pipelines

Natural language processing

Graph representation learning

Hadoop/Spark

Education

Degree in computer science, machine learning, or statistics

Job description

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

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 candidate 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 real‑time 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.

Relocation Statement

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

Salary

US based applicants only

$189,721—$332,012 USD

Our Commitment To Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition or genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.