Senior Machine Learning Engineer
Spotify
Senior Machine Learning Engineer
Job Description
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and audiobooks better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.
Locations
- New York, New York, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
250,000 - 450,000 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
- statisticsintermediate
- optimizationintermediate
- sequential modelsintermediate
- transformer architecture modelsintermediate
- fine-tuning processes for sequential modelsintermediate
- large cross-collaborative machine learning projectsintermediate
- managing stakeholdersintermediate
- production machine learning systems at scaleintermediate
- Javaintermediate
- Scalaintermediate
- Pythonintermediate
- large scale, distributed data processing frameworks/toolsintermediate
- Apache Beamintermediate
- Apache Sparkintermediate
- Sciointermediate
- GCPintermediate
- AWSintermediate
- agile software processesintermediate
- data-driven developmentintermediate
- reliabilityintermediate
- disciplined experimentationintermediate
Required Qualifications
- Strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models (experience)
- Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders (experience)
- Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages (experience)
- Some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS (experience)
- Care about agile software processes, data-driven development, reliability, and disciplined experimentation (experience)
Preferred Qualifications
- Experience with TensorFlow, PyTorch, Scikit-learn, etc. (experience)
Responsibilities
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining ML models for the personalization of the main homepage
- Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
Benefits
- general: Flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location
Tags & Categories
Senior Machine Learning Engineer
Spotify
Senior Machine Learning Engineer
Job Description
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and audiobooks better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.
Locations
- New York, New York, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
250,000 - 450,000 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
- statisticsintermediate
- optimizationintermediate
- sequential modelsintermediate
- transformer architecture modelsintermediate
- fine-tuning processes for sequential modelsintermediate
- large cross-collaborative machine learning projectsintermediate
- managing stakeholdersintermediate
- production machine learning systems at scaleintermediate
- Javaintermediate
- Scalaintermediate
- Pythonintermediate
- large scale, distributed data processing frameworks/toolsintermediate
- Apache Beamintermediate
- Apache Sparkintermediate
- Sciointermediate
- GCPintermediate
- AWSintermediate
- agile software processesintermediate
- data-driven developmentintermediate
- reliabilityintermediate
- disciplined experimentationintermediate
Required Qualifications
- Strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models (experience)
- Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders (experience)
- Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages (experience)
- Some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS (experience)
- Care about agile software processes, data-driven development, reliability, and disciplined experimentation (experience)
Preferred Qualifications
- Experience with TensorFlow, PyTorch, Scikit-learn, etc. (experience)
Responsibilities
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining ML models for the personalization of the main homepage
- Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
Benefits
- general: Flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location
Tags & Categories