Staff Machine Learning Engineer - Search Quality
Pinterest, San Francisco, CA, United States
About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
Pinterest helps Pinners discover and do what they love. At the core of this discovery experience is Pinterest search. The Search Quality team is focused on making Pinterest search fast, personalized, and relevant for the billions of monthly searches. We seek a Tech Lead for ranking who can drive cross-team engineering efforts to deliver ML-driven product experiences to our Pinners. This role offers the opportunity to work on innovative projects, build large-scale low-latency systems and state-of-the-art machine learning models, and significantly impact our Pinners and business metrics.
What you'll do:
- Design and build ML models that understand user intent and deliver the most relevant pins.
- Develop and implement advanced search algorithms and techniques to ensure highly relevant search results.
- Utilize state-of-the-art modeling techniques to improve Pinterest search.
- Improve the efficiency and reliability of large-scale data processing and ML inference pipelines.
- Optimize our serving systems to improve latency, capacity, and stability and reduce infrastructure costs.
What we're looking for:
- Languages: Python, Java
- Machine Learning: PyTorch, TensorFlow
- Big data processing: Spark, Hive, MapReduce
- Experience working on large-scale search solutions for consumer product applications.
- Experience with building deep neural net models, including architecture design, training, and evaluation.
- 5+ years experience with Recommender system or User modeling, implementing production ML systems at scale
- 5+ years experience with large-scale distributed backend service
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
Salary Information:
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.
US based applicants only
$166,694 — $342,844 USD
Our Commitment to Diversity:
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, 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.
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