The Growth Platform team is looking for an Engineering Manager to lead two of our teams:
- The Machine Learning teams mission is to optimize user experience and retention
- The Localization Platform team owns all of localization related engineering for the entire company. It combines full-stack engineering with machine learning.
What youll do:
- Lead the machine learning team to design ship and iterate on models for user targeting and personalization that drives engagement and retention.
- Own the technical direction of the localization platform ensuring a reliable scalable foundation that powers Pinterest in 40 languages and unlocks new international growth opportunities.
- Apply machine learning within localization and growth use cases such as audience expansion lifecycle optimization and machinetranslationdriven experiences for global Pinners.
- Manage and mentor fullstack and machine learning engineers providing clear expectations regular feedback and growth opportunities to develop strong technical and leadership skills.
- Partner closely with crossfunctional teams (Product Data Science Design PMM and other engineering teams) to define roadmaps run experiments and deliver highimpact growth and internationalization outcomes.
What were looking for:
- 8 years of industry experience building and operating production systems at scale.
- 3 years of experience leading machine learning teams with a strong handson background in Python and PyTorch.
- Bachelors degree in Computer Science or a related field or equivalent practical experience.
- Proficiency with data processing and distributed systems such as Spark or Hadoop.
- Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
- Ability to design and operate largescale ML pipelines for training evaluation and deployment including highQPS lowlatency model serving.
- Strong background in recommendation systems user modeling or personalization including rigorous A/B testing and metric analysis.
- Bachelors/Masters degree in a relevant field or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.
#LI-HYBRID
#LI-JD1
Required Experience:
Manager
The Growth Platform team is looking for an Engineering Manager to lead two of our teams:The Machine Learning teams mission is to optimize user experience and retentionThe Localization Platform team owns all of localization related engineering for the entire company. It combines full-stack engineerin...
The Growth Platform team is looking for an Engineering Manager to lead two of our teams:
- The Machine Learning teams mission is to optimize user experience and retention
- The Localization Platform team owns all of localization related engineering for the entire company. It combines full-stack engineering with machine learning.
What youll do:
- Lead the machine learning team to design ship and iterate on models for user targeting and personalization that drives engagement and retention.
- Own the technical direction of the localization platform ensuring a reliable scalable foundation that powers Pinterest in 40 languages and unlocks new international growth opportunities.
- Apply machine learning within localization and growth use cases such as audience expansion lifecycle optimization and machinetranslationdriven experiences for global Pinners.
- Manage and mentor fullstack and machine learning engineers providing clear expectations regular feedback and growth opportunities to develop strong technical and leadership skills.
- Partner closely with crossfunctional teams (Product Data Science Design PMM and other engineering teams) to define roadmaps run experiments and deliver highimpact growth and internationalization outcomes.
What were looking for:
- 8 years of industry experience building and operating production systems at scale.
- 3 years of experience leading machine learning teams with a strong handson background in Python and PyTorch.
- Bachelors degree in Computer Science or a related field or equivalent practical experience.
- Proficiency with data processing and distributed systems such as Spark or Hadoop.
- Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
- Ability to design and operate largescale ML pipelines for training evaluation and deployment including highQPS lowlatency model serving.
- Strong background in recommendation systems user modeling or personalization including rigorous A/B testing and metric analysis.
- Bachelors/Masters degree in a relevant field or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.
#LI-HYBRID
#LI-JD1
Required Experience:
Manager
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