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.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
Within the Monetization ML Engineering organization, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. As a Distinguished Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Monetization. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power ads performance and ads 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
- Champion engineering excellence and a data driven culture, mentor senior tech talent and represent Pinterest externally in the tech and AI communities.
What we’re looking for:
- Degree in computer science, machine learning, statistics, or a related field
- 15+ years of working experience in engineering teams that build large-scale, ML‑driven, user‑facing products
- Experience leading cross‑team engineering efforts that improve user experience in products
- Understanding of an object‑oriented programming language such as Go, Java, C++, or Python
- Experience with large‑scale data processing (e.g., Hive, Scalding, Spark, Hadoop, MapReduce)
- Strong software engineering and mathematical skills, with knowledge of statistical methods
- Experience working across frontend, backend, and ML systems for large‑scale user‑facing products, with a good understanding of how they all work together
- Hands‑on experience with large‑scale online e‑commerce systems
- Background in computational advertising is preferred
- Excellent cross‑functional collaboration and stakeholder communication skills, with strong execution in project management
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.
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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, 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.
