Staff Machine Learning Engineer - Curation ML
San Francisco, CA, US; Remote, US
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.
The Curation team’s mission is to give Pinners the tools they need to envision & create a life they love by making Pinterest the easiest place to access your favorite ideas, collaborate with others and make your dreams a reality. Our team builds product features that are deeply engaging and uniquely Pinterest, including saving and creating Pins, Boards, and Collages, and inspiring Pinners to create a life they love. We apply cutting-edge machine learning algorithms to facilitate saving, help Pinners discover boards, and bring actionability to boards.
What you’ll do:
- Apply cutting-edge deep learning and generative AI technologies to solve modeling and ranking problems across different product surfaces.
- Build end-to-end machine learning solutions, including data pipelines, feature engineering, model optimization and innovation. Research latest industry and academia advancement to improve existing algorithms.
- Work in a high-impact environment and partner closely with cross functional teams to launch innovative product features and to deliver more personalized product experiences
What we’re looking for:
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
- 6+ years of industry experience.
- Experience in machine learning/information retrieval.
- Fluent in at least one of the programming languages such as Python, Java or C++.
- Fluent in at least one of the deep learning frameworks such as Tensorflow, PyTorch.
- Strong domain knowledge, leadership experience, and demonstrated success at scale in at least one of the following areas: recommender systems, information retrieval, reinforcement learning, representation learning.
- Experience working on large scale consumer products and production deliverables optimized for cost and operability.
- Collaborative leadership with cross-org ML and cross-functional teams.
- Passionate about solving complex, challenging and ambiguous problems.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
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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.
US based applicants only$176,924—$364,254 USDOur 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. ApplyJob Profile
In-office collaboration required In-office requirement Not eligible for relocation Not eligible for relocation assistance US based applicants only
Benefits/PerksEquity Equity eligibility Flexible work model Remote-first company
Tasks- Apply deep learning technologies
- Build machine learning solutions
- Collaborate
- Collaborate with teams
- Research advancements
AI Algorithms C++ Collaboration Data Pipelines Deep Learning Diversity Engineering Equity Feature Engineering Generative AI Information Retrieval Innovation Java Leadership Machine Learning ML Model optimization NLP Optimization Production Programming Programming languages Python PyTorch Ranking Recommender Systems Reinforcement Learning Representation Learning Statistics TensorFlow
Experience6 years
EducationComputer Science Engineering Equivalent experience Information sciences Legal Machine Learning ML MS Natural language processing Ph.D. Related Field Statistics
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9