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Principal Machine Learning Engineer, Monetization

Principal Machine Learning Engineer, Monetization

PinterestPalo Alto, CA, United States
21 hours ago
Job type
  • Full-time
Job description

Overview

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. Pinterest's mission is 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 Ads Quality team, we connect the aspirations of Pinners with 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 tackle 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 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.

    • US based applicants only

    Salary range : $294,000 — $514,500 USD

    Our Commitment to Inclusion :

    Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. 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.

    US-based applicants only

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    Machine Learning Engineer • Palo Alto, CA, United States