Manager II, Machine Learning Engineering, Core Engineering
Manager II, Machine Learning Engineering, Core Engineering
Job Description
Responsibilities
- Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users, including ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
- Deeply understand the Pinterest product and drive the vision for the team, ensuring the team’s work directly contributes to the company’s goals.
- Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers, and identify team needs and hire strong candidates.
- Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
- Provide visibility to senior leadership regarding the team’s global impact.
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
- Build a culture of excellence and expertise within the team.
Qualifications
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
- Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
- Strong experience in related fields such as recommendation systems and applied machine learning experience.
- 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 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
- 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
Preferred Qualifications
- Natural language processing and computer vision.
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
189,308 - 389,753 USD / yearly
Estimated Salary Rangemedium confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine learningintermediate
- Big data technologyintermediate
- Recommendation systemsintermediate
- Applied machine learningintermediate
- Natural language processingintermediate
- Computer visionintermediate
- Software developmentintermediate
- Team managementintermediate
- Strategic planningintermediate
- Technical guidanceintermediate
- Cross-team collaborationintermediate
Required Qualifications
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience. (experience)
- Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology. (experience)
- Strong experience in related fields such as recommendation systems and applied machine learning experience. (experience)
- Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution. (experience)
- Strong focus on product impact and user experience within a consumer-focused environment. (experience)
- Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members. (experience)
- 8+ years of experience in software development, with a proven track record of delivering impactful solutions. (experience)
Preferred Qualifications
- Natural language processing and computer vision. (experience)
Responsibilities
- Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users, including ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
- Deeply understand the Pinterest product and drive the vision for the team, ensuring the team’s work directly contributes to the company’s goals.
- Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers, and identify team needs and hire strong candidates.
- Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
- Provide visibility to senior leadership regarding the team’s global impact.
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
- Build a culture of excellence and expertise within the team.
Tags & Categories
Manager II, Machine Learning Engineering, Core Engineering
Manager II, Machine Learning Engineering, Core Engineering
Job Description
Responsibilities
- Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users, including ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
- Deeply understand the Pinterest product and drive the vision for the team, ensuring the team’s work directly contributes to the company’s goals.
- Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers, and identify team needs and hire strong candidates.
- Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
- Provide visibility to senior leadership regarding the team’s global impact.
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
- Build a culture of excellence and expertise within the team.
Qualifications
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
- Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
- Strong experience in related fields such as recommendation systems and applied machine learning experience.
- 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 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
- 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
Preferred Qualifications
- Natural language processing and computer vision.
Locations
- San Francisco, CA, US; Remote, US (Remote)
Salary
189,308 - 389,753 USD / yearly
Estimated Salary Rangemedium confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine learningintermediate
- Big data technologyintermediate
- Recommendation systemsintermediate
- Applied machine learningintermediate
- Natural language processingintermediate
- Computer visionintermediate
- Software developmentintermediate
- Team managementintermediate
- Strategic planningintermediate
- Technical guidanceintermediate
- Cross-team collaborationintermediate
Required Qualifications
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience. (experience)
- Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology. (experience)
- Strong experience in related fields such as recommendation systems and applied machine learning experience. (experience)
- Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution. (experience)
- Strong focus on product impact and user experience within a consumer-focused environment. (experience)
- Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members. (experience)
- 8+ years of experience in software development, with a proven track record of delivering impactful solutions. (experience)
Preferred Qualifications
- Natural language processing and computer vision. (experience)
Responsibilities
- Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users, including ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
- Deeply understand the Pinterest product and drive the vision for the team, ensuring the team’s work directly contributes to the company’s goals.
- Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers, and identify team needs and hire strong candidates.
- Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
- Provide visibility to senior leadership regarding the team’s global impact.
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
- Build a culture of excellence and expertise within the team.
Tags & Categories