Engineering Manager II, Ads ML Training Infrastructure
Engineering Manager II, Ads ML Training Infrastructure
Job Description
Responsibilities
- Collaborate with stakeholders and partner teams across the organization to architect ads ML Training infrastructure solutions to unlock Pinterest ads models innovations.
- Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.
- Lead the team to build the next-generation Pinterest Ads ML foundations. Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features.
- Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability.
Qualifications
- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.
- 2+ years of management experience, or tech lead experiences in 8+ people team (3+ years).
- 8+ years of relevant industry experience in leading the design of large scale & production ML infra systems and Model Training framework.
- Deep knowledge with building distributed systems or recommendation infrastructure.
- Strong cross-functional collaborator and communicator.
- Strong people development skills. You have helped people grow in their careers.
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary
208,454 - 364,795 USD / yearly
Skills Required
- Building distributed systemsintermediate
- Recommendation infrastructureintermediate
- Large scale production ML infrastructure systemsintermediate
- Model Training frameworkintermediate
- Cross-functional collaborationintermediate
- Communicationintermediate
- People development and mentoringintermediate
- GPUintermediate
- Cudaintermediate
- Feature Storeintermediate
- LLMsintermediate
Required Qualifications
- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience. (experience)
- 2+ years of management experience, or tech lead experiences in 8+ people team (3+ years). (experience)
- 8+ years of relevant industry experience in leading the design of large scale & production ML infra systems and Model Training framework. (experience)
- Deep knowledge with building distributed systems or recommendation infrastructure. (experience)
- Strong cross-functional collaborator and communicator. (experience)
- Strong people development skills. You have helped people grow in their careers. (experience)
Responsibilities
- Collaborate with stakeholders and partner teams across the organization to architect ads ML Training infrastructure solutions to unlock Pinterest ads models innovations.
- Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.
- Lead the team to build the next-generation Pinterest Ads ML foundations. Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features.
- Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability.
Tags & Categories
Engineering Manager II, Ads ML Training Infrastructure
Engineering Manager II, Ads ML Training Infrastructure
Job Description
Responsibilities
- Collaborate with stakeholders and partner teams across the organization to architect ads ML Training infrastructure solutions to unlock Pinterest ads models innovations.
- Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.
- Lead the team to build the next-generation Pinterest Ads ML foundations. Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features.
- Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability.
Qualifications
- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.
- 2+ years of management experience, or tech lead experiences in 8+ people team (3+ years).
- 8+ years of relevant industry experience in leading the design of large scale & production ML infra systems and Model Training framework.
- Deep knowledge with building distributed systems or recommendation infrastructure.
- Strong cross-functional collaborator and communicator.
- Strong people development skills. You have helped people grow in their careers.
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary
208,454 - 364,795 USD / yearly
Skills Required
- Building distributed systemsintermediate
- Recommendation infrastructureintermediate
- Large scale production ML infrastructure systemsintermediate
- Model Training frameworkintermediate
- Cross-functional collaborationintermediate
- Communicationintermediate
- People development and mentoringintermediate
- GPUintermediate
- Cudaintermediate
- Feature Storeintermediate
- LLMsintermediate
Required Qualifications
- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience. (experience)
- 2+ years of management experience, or tech lead experiences in 8+ people team (3+ years). (experience)
- 8+ years of relevant industry experience in leading the design of large scale & production ML infra systems and Model Training framework. (experience)
- Deep knowledge with building distributed systems or recommendation infrastructure. (experience)
- Strong cross-functional collaborator and communicator. (experience)
- Strong people development skills. You have helped people grow in their careers. (experience)
Responsibilities
- Collaborate with stakeholders and partner teams across the organization to architect ads ML Training infrastructure solutions to unlock Pinterest ads models innovations.
- Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.
- Lead the team to build the next-generation Pinterest Ads ML foundations. Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features.
- Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability.
Tags & Categories