Manager II, Machine Learning Engineering - Search Ranking & Blending
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.
Pinterest helps Pinners discover and do what they love. At the core of this discovery experience is Pinterest search. The Search Ranking and Blending 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 state-of-the-art machine learning models and significantly impact our Pinners and business metrics.
What you’ll do:
- Be responsible for the search ranking and blending 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 ranking and blending team, you will be responsible for modeling engagement and personalization on Search, as well as owning the blending layer that determines how we tradeoff against relevance, personalization and diversity within the search result page.
- Deeply understand the Pinterest search product and drive the vision for the search ranking and blending 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:
- MS or PhD degree in Computer Science, Machine Learning, Statistics or related field, or equivalent experience.
- 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-SM4
#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.
Our Commitment to Inclusion:
Safe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.