Manager II, Machine Learning – Conversion Visibility

Socket.dev; Seattle (WA); On-site; USD 189,308 - 389,753; Full time

Job summary

Pinterest is seeking a Machine Learning Engineering Manager in Seattle to lead a team of ML engineers and backend developers. The role focuses on building systems that ensure advertisers retain accurate performance visibility. Candidates should have substantial experience in ML systems and team management.

This position requires a Bachelor's degree in a technical field and substantial experience in leading ML projects. Strong communication and collaboration skills are essential for partnering with cross-functional teams.

Qualifications

• 7+ years of experience building large-scale ML systems in production.
• 2+ years of experience as an engineering manager or technical lead.
• Hands-on experience with ads conversion attribution and identity matching is a plus.

Responsibilities

• Lead a hybrid team of ML engineers and backend software engineers.
• Oversee the strategy and execution of identity and conversion systems.
• Establish engineering best practices for ML and backend development.

Skills

Machine Learning Systems

Technical Leadership

Cross-Functional Collaboration

Education

Bachelor's Degree in Computer Science, Statistics, or related field

Job description

The Conversion Visibility Modeling team enables a performant ads marketplace and helps prove value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As a Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. You will set the technical direction for high-impact ML systems that feed ranking, bidding, measurement, and reporting across Pinterest’s ads stack.

What you’ll do:

• Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers, fostering strong collaboration across modeling and infrastructure and building an inclusive, high‑performing environment where the team can deliver end-to-end solutions.
• Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces.
• Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward high‑impact outcomes.
• Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end-to-end identity and conversion visibility systems—including models, data pipelines, and serving surfaces—to integrate cleanly into the broader ads ecosystem.
• Establish engineering best practices across both ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build trustworthy ML‑powered systems end to end.
• Use AI to accelerate analysis and iteration on model ideas and architectures, while applying strong judgment, testing, and verification to ensure correctness, reliability, and advertiser trust.

What we’re looking for:

• 7+ years of experience building and deploying large‑scale ML systems in production (e.g., ads, measurement, recommendation, ranking, or search).
• 2+ years of experience as an engineering manager or technical lead.
• Bachelors Degree in Computer Science, Statistics, or a related technical field, or equivalent experience.
• Nice to have: Meaningful hands‑on experience or strong familiarity with ads conversion attribution, identity matching, ads ranking or ads measurement domains.
• Proven technical leadership across both ML and software systems, with experience setting direction for multi‑quarter roadmaps that span modeling, data pipelines, backend services, and productionization, and aligning stakeholders on priorities, trade‑offs, and execution plans.
• Excellent cross‑functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co‑create solutions, and drive consensus with senior stakeholders.

Relocation Statement:

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

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day‑to‑day can vary based on the needs of each organization or role.
• This role will need to be in the office for in‑person collaboration 1 day per week and therefore needs to be in a commutable distance from one of the following offices [Seattle or Bay Area].

US based applicants only

$189,308 — $389,753 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.