Pinterest
Manager II, Machine Learning Engineering, Ads Intelligence
Pinterest, San Francisco, California, United States, 94199
Overview
Join to apply for the
Manager II, Machine Learning Engineering, Ads Intelligence
role at
Pinterest . Within the Ads Delivery team, we connect the aspirations of pinners with 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, end-to-end advertiser facing ad products. What You’ll Do
Define and drive the strategy and roadmap for our ads intelligence products, shaping the future of advertiser experiences on Pinterest. Lead your team in building scalable products, applying state-of-the-art machine learning techniques to enhance ads intelligence at Pinterest, including budget allocation, media planning, campaign recommendations, lead generation, and churn prevention. Collaborate with product managers, data scientists, designers and engineers across the company to deliver end-to-end advertiser facing ads products. 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
MS or PhD degree in Computer Science, Machine Learning 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 covers bidding and budgeting systems through ads retrieval and allocation is preferred. Strong software engineering, mathematical and analytical skills. Exceptional strategic thinking, communication, and collaboration skills. In-Office Requirement
We let the type of work you do guide the collaboration style. This role will need to be in the office for in-person collaboration 1-2 times/month and must be within a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. Relocation
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. Compensation and Benefits
Base salary information is aligned with location and experience. For US-based applicants, base salary ranges from
$208,145
to
$364,254
USD and is eligible for equity. Final salary is based on location, travel, relevant prior experience, or particular skills and expertise. We also provide information regarding culture and benefits in the job description. Our Commitment To Inclusion
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. 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. If you require a medical or religious accommodation during the job application process, please complete this form for support.
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Join to apply for the
Manager II, Machine Learning Engineering, Ads Intelligence
role at
Pinterest . Within the Ads Delivery team, we connect the aspirations of pinners with 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, end-to-end advertiser facing ad products. What You’ll Do
Define and drive the strategy and roadmap for our ads intelligence products, shaping the future of advertiser experiences on Pinterest. Lead your team in building scalable products, applying state-of-the-art machine learning techniques to enhance ads intelligence at Pinterest, including budget allocation, media planning, campaign recommendations, lead generation, and churn prevention. Collaborate with product managers, data scientists, designers and engineers across the company to deliver end-to-end advertiser facing ads products. 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
MS or PhD degree in Computer Science, Machine Learning 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 covers bidding and budgeting systems through ads retrieval and allocation is preferred. Strong software engineering, mathematical and analytical skills. Exceptional strategic thinking, communication, and collaboration skills. In-Office Requirement
We let the type of work you do guide the collaboration style. This role will need to be in the office for in-person collaboration 1-2 times/month and must be within a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. Relocation
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. Compensation and Benefits
Base salary information is aligned with location and experience. For US-based applicants, base salary ranges from
$208,145
to
$364,254
USD and is eligible for equity. Final salary is based on location, travel, relevant prior experience, or particular skills and expertise. We also provide information regarding culture and benefits in the job description. Our Commitment To Inclusion
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. 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. If you require a medical or religious accommodation during the job application process, please complete this form for support.
#J-18808-Ljbffr