Sr. Manager, Machine Learning Engineering-Applied Research

Pinterest

United States

Hybrid

USD 228,000 - 469,000

Full time

14 days+

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Job summary

Pinterest is seeking a senior leader to own the technical roadmap for our next-generation recommendation systems, guiding ML research into scalable production and shaping the strategy across teams.

You will mentor engineers and researchers, collaborate with Core Eng, Ads Eng, Infrastructure, Content, and Data Science, and set the direction for the recommender system roadmap while balancing cutting-edge research with practical embedding initiatives.

Qualifications

  • 7+ years of post-graduate and industry ML experience on web-scale data.
  • 3+ years of direct people management experience.
  • Track record of data-driven influence across multiple product areas.
  • Publications in ML/AI/data science or related fields are a plus.

Responsibilities

  • Own the technical roadmap and strategic vision for Pinterest’s next-generation recommendation systems.
  • Transition ML research into production-ready systems impacting core metrics.
  • Lead, develop, and mentor a team of ML researchers and engineers.
  • Collaborate with Core Eng, Ads Eng, Infrastructure, Content, and Data Science to prototype, build, and scale solutions.

Skills

Technical depth
Proven execution
Talent development
Continuous learner
Business acumen
Communication
Academic credentials
Publications

Education

MS/PhD in Computer Science/ML

Job description

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.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

What you will do:
  • Vision and Strategy: Own the technical roadmap and strategic vision for Pinterest’s next-generation recommendation systems. Champion the use of state-of-the-art ML techniques to deliver revolutionary innovations in recommendation technology.
  • Research to Production: Successfully transition breakthrough ML research into production-ready systems that directly impact core company metrics.
  • Team Leadership and Culture: Manage, inspire, and develop a talented team of machine learning researchers and engineers specializing in recommendation systems. Partner with your team to define their charter, ensuring a strong balance between cutting-edge research and building foundational embeddings that benefit products across the entire company.
  • Cross-functional Collaboration: Collaborate with Core Engineering, Ads Engineering, Infrastructure, Content, and Data Science teams to prototype, build, and scale solutions to complex engineering challenges. Partner with leadership to deepen user understanding and set the strategic direction for our recommendation system roadmap.
What we are looking for:
  • Technical Depth: 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data, alongside 3+ years of direct people management experience.
  • Proven Execution: A track record of delivering high-impact initiatives across multiple product areas, with a demonstrated ability to influence peers and leadership using data-driven insights.
  • Talent Development: Experience mentoring, coaching, and up-leveling software and machine learning engineers.
  • Continuous Learner: A self-propelled learner who stays ahead of industry trends, new tools, and emerging methodologies, with an appetite for building proof-of-concept prototypes.
  • Business & Product Acumen: The ability to transform vague, ambiguous questions into well-defined projects with clear success metrics that drive business decisions.
  • Communication & Credibility: Excellent communication skills with the ability to distill complex technical findings for leadership and product teams, backed by a strong track record of publications in machine learning, AI, data science, or related technical fields.
  • Academic Credentials: MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Nice to have:
    • Track record of publishing at top-tier ML/RecSys conferences (KDD, RecSys, NeurIPS, CVPR).
    • Experience leveraging modern LLM/Agentic workflows and generative AI capabilities to accelerate engineering productivity and context extraction.
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/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE #LI-DM57

US based applicants only

$227,871 — $469,147 USD

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.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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