Principal Machine Learning Engineer, Ads Delivery
Principal Machine Learning Engineer, Ads Delivery
Job Description
Responsibilities
- Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
- Define and implement experiments to understand long term Marketplace effects.
- Develop strategies to balance long and short term business objectives.
- Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
Qualifications
- Degree in Computer Science, Machine Learning, Statistics or related field.
- 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.
- Strong software engineering and mathematical skills with knowledge of statistical methods.
Preferred Qualifications
- Hands-on experience with large-scale online e-commerce systems.
- Background in computational advertising.
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary
314,580 - 550,515 USD / yearly
Estimated Salary Rangemedium confidence
350,000 - 550,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software engineeringintermediate
- Mathematical skillsintermediate
- Statistical methodsintermediate
- Backend systems developmentintermediate
- Statistical modelingintermediate
- Experiment design and implementationintermediate
Required Qualifications
- Degree in Computer Science, Machine Learning, Statistics or related field. (experience)
- 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects. (experience)
- Strong software engineering and mathematical skills with knowledge of statistical methods. (experience)
Preferred Qualifications
- Hands-on experience with large-scale online e-commerce systems. (experience)
- Background in computational advertising. (experience)
Responsibilities
- Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
- Define and implement experiments to understand long term Marketplace effects.
- Develop strategies to balance long and short term business objectives.
- Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
Tags & Categories
Principal Machine Learning Engineer, Ads Delivery
Principal Machine Learning Engineer, Ads Delivery
Job Description
Responsibilities
- Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
- Define and implement experiments to understand long term Marketplace effects.
- Develop strategies to balance long and short term business objectives.
- Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
Qualifications
- Degree in Computer Science, Machine Learning, Statistics or related field.
- 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.
- Strong software engineering and mathematical skills with knowledge of statistical methods.
Preferred Qualifications
- Hands-on experience with large-scale online e-commerce systems.
- Background in computational advertising.
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary
314,580 - 550,515 USD / yearly
Estimated Salary Rangemedium confidence
350,000 - 550,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software engineeringintermediate
- Mathematical skillsintermediate
- Statistical methodsintermediate
- Backend systems developmentintermediate
- Statistical modelingintermediate
- Experiment design and implementationintermediate
Required Qualifications
- Degree in Computer Science, Machine Learning, Statistics or related field. (experience)
- 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects. (experience)
- Strong software engineering and mathematical skills with knowledge of statistical methods. (experience)
Preferred Qualifications
- Hands-on experience with large-scale online e-commerce systems. (experience)
- Background in computational advertising. (experience)
Responsibilities
- Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
- Define and implement experiments to understand long term Marketplace effects.
- Develop strategies to balance long and short term business objectives.
- Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
Tags & Categories