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1632 Trabajos a distancia y desde casa en línea

Staff Machine Learning Engineer - Ads Modules

Pinterest · San Francisco, Estados Unidos De América · Hybrid

  • Senior
  • Oficina en San Francisco
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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 Ads Modules, Diversity & Verticals team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. We're a high-impact group that owns the entire lifecycle of our products, from initial ideation to production deployment. We're driven by a passion for solving complex, large-scale problems at the intersection of machine learning, user experience, and business growth.

As a Staff ML Engineer, you'll be a key technical leader, playing a crucial role in shaping the direction of vertical ads products, and collaborating closely with product managers, data scientists, designers, and engineers across the company to deliver impactful, pinner-facing ad products end-to-end.

 

What you’ll do:

  • Define and drive the strategy and roadmap for our vertical ads products, shaping the future of ad experiences on Pinterest.
  • Lead the end-to-end development of production-grade machine learning models to enhance ad triggering, ranking, and selection, thereby optimizing the ads marketplace systems for bidding, budgeting, and ad placement.
  • Collaborate closely with product managers, data scientists, designers, and engineers across the company to ship impactful, user-facing ad products.
  • Serve as a technical mentor for other engineers, elevating the team's expertise in machine learning, system design, and best practices.

What we’re looking for:

  • MS or PhD degree in Computer Science, Machine Learning or related field
  • 6+ years of industry experience
  • 2+ years of experience leading projects/teams
  • Strong software engineering, mathematical and analytical skills
  • Exceptional strategic thinking, communication, and collaboration skills.
  • Hands-on experience with large-scale online e-commerce systems is a plus
  • Background in computational advertising is preferred

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.

This role will need to be in the office for in-person collaboration 1-2 times/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle

Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 

 

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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.