Machine Learning Engineer, Monetization Engineering

Pinterest; Palo Alto (CA); On-site; USD 163,418 - 285,982; Full time

Job summary

Pinterest is seeking a Machine Learning Engineer in Palo Alto, California, responsible for evolving the machine learning technology stack within Ads. The ideal candidate has 2+ years of industry experience in machine learning methods, strong knowledge of recommender systems, and a degree in a relevant field. The position offers a salary range of $163,418 - $285,982 USD and focuses on developing cutting-edge technology to personalize the Pinterest experience.

Qualifications

• 2+ years of industry experience applying machine learning methods.
• Hands-on experience with building data processing pipelines and large scale ML systems.
• Practical knowledge of large scale recommender systems or modern ads ranking.

Responsibilities

• Build technology using advances in deep learning and machine learning.
• Partner with teams to experiment and improve ML models.
• Work in a high-impact environment with quick experimentation.

Skills

Machine learning methods

Recommender systems

Natural language processing

Data processing pipelines

Big data technologies

Education

Degree in computer science, machine learning, statistics, or related field

Tools

Hadoop/Spark

Cursor

Copilot

Codex

Job description

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

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
• Keep up with industry trends in recommendation systems
• Leverage LLMs to enhance content understanding

What we’re looking for:

• 2+ 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)
• Degree in computer science, machine learning, statistics, or related field
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
• 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
  • Background in computational advertising

Relocation Statement:

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

US based applicants only

$163,418 — $285,982 USD

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.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

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.