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.
Within the Ads Quality 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 Ranking. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power the ads engagement and delivery that bring together Pinners and partners in this unique marketplace.
What you'll do:
- Lead user-facing projects that involve end-to-end engineering development in both frontend and backend and ML
- Improve relevance and increase long term value for Pinners, Partners, Creators, and Pinterest through efficient Ads Delivery.
- Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
- Collaborate with product managers and designers to develop engineering solutions for user-facing product improvements
- Collaborate with other engineering teams (infra, user modeling, content understanding) to leverage their platforms and signals
What we're looking for:
- Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
- 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
- 3+ years experience leading cross-team engineering efforts that improves user experience in products
- Strong execution skills in project management
- Masters or PhD in Comp Sci or related fields
- Understanding of an object-oriented programming language (Go, Java, C++, Python)
- Desired skills:
- Experience in working in frontend, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work
- Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office 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.
- This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country.
#LI-HYBRID
#LI-SM4
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.
Our Commitment to Inclusion:
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