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Manager II, Machine Learning - Search Retrieval

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. 

Pinterest helps Pinners discover and do what they love. At the core of this discovery experience is Pinterest search. The Search Retrieval team is focused on making Pinterest searches fast, personalized, and relevant for the billions of monthly searches. We seek an exceptional technical leader and engineering manager for this team who can drive cross-team engineering efforts to deliver ML-driven product experiences to our Pinners. This role offers the opportunity to work on innovative projects, build large-scale low-latency systems and state-of-the-art machine learning models, and significantly impact our Pinners and business metrics.

What you’ll do

  • Be responsible for the search retrieval area, a significant component of the search product at Pinterest. The search product serves more than 500M active Pinterest users. As part of the search retrieval team, you will be responsible for indexing, retrieval, and early-stage ranking models.
  • Deeply understand the Pinterest search product and drive the vision for the search retrieval team, ensuring the team’s work directly contributes to the company’s goals.
  • Manage and mentor a team of Machine Learning engineers, providing guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  • Collaborate closely with other engineering teams at Pinterest to enhance the search experience for users, including Search Product, Infrastructure, research, and content signals.
  • Provide visibility to senior leadership regarding the team’s impact.
  • Partner with stakeholders across the company, including product management, data scientists, and design, to expand impact.
  • Build a culture of excellence and expertise within the team.

What we’re looking for:

  • Proven experience in leading and managing large-scale production systems, such as search, recommendation, or advertising platforms, utilizing advanced machine learning and big data technologies.
  • Strong background in applied machine learning; familiarity with recommendation systems is highly desirable.
  • Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  • Strong focus on product impact and user experience within a consumer-focused environment.
  • Minimum of 2 years of experience managing a high-performing machine learning engineering team of 8+ members.
  • 8+ years of experience in software development, with a proven track record of delivering impactful solutions.

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.

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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.

US based applicants only
$176,924$364,254 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.
 

Average salary estimate

$270589 / YEARLY (est.)
min
max
$176924K
$364254K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Manager II, Machine Learning - Search Retrieval, Pinterest

At Pinterest, we believe in the power of inspiration and creativity, and as the Manager II of Machine Learning for Search Retrieval, you'll play a vital role in shaping that mission. Located in the vibrant San Francisco area or remotely across the US, you will lead a passionate team focused on enhancing the way billions of users discover ideas through our powerful search features. Your core responsibility will be overseeing the search retrieval team, which structures indexing, retrieval, and ranking models that serve over 500 million monthly active users. You'll work closely with various engineering teams to ensure our technical solutions align with user experience goals while mentoring machine learning engineers to develop their skills and careers. Not only will you define the strategic roadmap, but you’ll also drive the integration of innovative, low-latency systems that leverage state-of-the-art machine learning. We value a culture of collaboration and excellence, and with your significant experience in production systems and applied machine learning, you'll influence the strategic direction of the search product. In our unique work environment, you’ll thrive within a flexible model we call PinFlex, allowing you to define how and where you work best. Join us in creating a platform that inspires countless Pinners to live their best lives—your expertise will help bring ideas to life every day.

Frequently Asked Questions (FAQs) for Manager II, Machine Learning - Search Retrieval Role at Pinterest
What are the key responsibilities of a Manager II, Machine Learning - Search Retrieval at Pinterest?

As the Manager II, Machine Learning for Search Retrieval at Pinterest, you will lead a team focused on indexing, retrieval, and early-stage ranking models that serve over 500 million active users. You will define the vision and roadmap for the search retrieval area, manage and mentor machine learning engineers, and enhance the search experience by collaborating with other engineering teams.

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What qualifications are essential for the Manager II, Machine Learning - Search Retrieval position at Pinterest?

To qualify for the Manager II, Machine Learning - Search Retrieval position at Pinterest, you should have at least 8 years of software development experience and 2 years of experience managing a high-performing machine learning engineering team. Proven ability in leading large-scale production systems and a strong background in applied machine learning are crucial for this role.

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How does Pinterest's work environment support the Manager II, Machine Learning - Search Retrieval?

Pinterest promotes a unique working model named PinFlex for the Manager II, Machine Learning - Search Retrieval position, allowing for a flexible approach to collaboration. You’ll engage in key moments of connection with your team while being part of a workplace that values equity and inclusion.

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What impact does the Manager II, Machine Learning - Search Retrieval have on Pinterest's users?

The Manager II, Machine Learning - Search Retrieval significantly impacts Pinterest users by enhancing search efficiency and personalization through innovative machine learning models. Your leadership will help ensure the search product meets the needs of Pinners, facilitating their creativity and inspiration.

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What kind of projects will a Manager II, Machine Learning - Search Retrieval at Pinterest be involved in?

As a Manager II, Machine Learning for Search Retrieval at Pinterest, you will be involved in innovative projects focused on building large-scale, low-latency systems while implementing advanced machine learning models that drive better user experiences in search.

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Common Interview Questions for Manager II, Machine Learning - Search Retrieval
Can you describe your experience in leading a machine learning team?

Highlight your leadership experience, mentioning specific projects you've managed, how you provided mentorship, and any measurable outcomes achieved through team collaboration.

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How do you ensure the alignment of machine learning projects with overall business objectives?

Discuss your approach to understanding business goals, how you develop a strategic roadmap for projects, and your methods for measuring the impact of machine learning solutions on user experience and business metrics.

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What strategies do you use to drive the development of machine learning models?

Talk about your methodologies for model development, including the use of data analysis, experimentation, and collaboration with data scientists to enhance model performance and relevance.

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What advanced machine learning techniques are you most familiar with?

List techniques that are relevant to the position, such as neural networks, decision trees, or reinforcement learning, and provide examples of how you’ve applied them in past projects.

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How would you foster a culture of innovation within your team?

Share methods you employ to encourage creative thinking, such as regular brainstorming sessions, time for side projects, and an openness to new ideas that can enhance the team's work and processes.

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Can you explain a challenging technical problem you solved in a past project?

Provide a specific example, detailing the problem, your approach to finding a solution, and the technologies used, emphasizing how this experience would benefit your role at Pinterest.

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How do you prioritize projects in a fast-paced environment?

Explain your framework for prioritization, considering factors like business impact, user needs, and team capacity, illustrating your ability to manage multiple projects simultaneously.

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What are your views on current trends in machine learning and their impact on search technologies?

Discuss any recent advancements in machine learning that may influence search technology, such as natural language processing or real-time data analytics, and how you envision these trends shaping the future at Pinterest.

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How do you handle underperforming team members?

Share your approach to performance management, emphasizing the importance of constructive feedback, setting clear expectations, and offering support for growth and development.

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Why do you want to work at Pinterest as a Manager II for Machine Learning - Search Retrieval?

Express your passion for Pinterest's mission and how your skills and experiences align with the role, highlighting your excitement about leading innovative projects that inspire creativity in users.

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Our mission is to bring everyone the inspiration to create a life they love.

321 jobs
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BADGES
Badge Flexible CultureBadge Future MakerBadge InnovatorBadge Rapid Growth
FUNDING
SENIORITY LEVEL REQUIREMENT
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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 28, 2025

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