Manager II, Machine Learning Engineering, Ads Delivery

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 delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. As a Manager, you will lead a talented team of machine learning engineers, 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 your team in building scalable product onboarding systems, applying state-of-art machine learning techniques to enhance ads product triggering, ranking, and selection, and driving value via the ads marketplace systems for bidding, budgeting, ad ranking, tuning, pricing, ad allocation and placement.

Collaborate with product managers, data scientists, designers and engineers across the company to deliver pinner facing ads products end-to-end.

Mentor and develop machine learning engineers at all levels, setting clear technical vision, guiding daily execution, and fostering a strong, healthy team culture.

Establish and uphold high standards for code quality, system design, and operational excellence within your team.

What We’re Looking For

Degree in Computer Science, Machine Learning, Statistics or related field.

6+ years of industry experience.

1+ years of management experience.

Hands-on experience with model offline development and online serving.

Hands-on experience with large-scale online e-commerce systems is preferred.

Full ads funnel knowledge that’s from bidding and budgeting systems all the way to ads retrieval and allocation is preferred.

Strong software engineering, mathematical and analytical skills.

Exceptional strategic thinking, communication, and collaboration skills.

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.

4

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

$222,716

—

$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.