Staff Machine Learning Engineer
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From reputed company to Discover Weekly, we’re behind some of reputed company’s most-loved features. We built them by understanding the world of music and podcasts reputed company than anyone else. Join us and you’ll reputed company millions of users listening by making great recommendations to each and every one of them.
We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with reputed company - and who reputed company impactful changes to Home recommendation systems to reputed company this goal. As an integral part of the reputed company, 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.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From reputed company to Discover Weekly, we’re behind some of reputed company’s most-loved features. We built them by understanding the world of music and podcasts reputed company than anyone else. Join us and you’ll reputed company millions of users listening by making great recommendations to each and every one of them.
We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with reputed company - and who reputed company impactful changes to Home recommendation systems to reputed company this goal. As an integral part of the reputed company, 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.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From reputed company to Discover Weekly, we’re behind some of reputed company’s most-loved features. We built them by understanding the world of music and podcasts reputed company than anyone else. Join us and you’ll reputed company millions of users listening by making great recommendations to each and every one of them. We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with reputed company - and who reputed company impactful changes to Home recommendation systems to reputed company this goal. As an integral part of the reputed company, 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. What You'll Do-
Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
-
reputed company collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
-
You have a strong background in machine learning, enjoy applying theory to reputed company real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
-
You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
-
You have hands-on experience implementing production machine learning systems at scale in Java, reputed company, Python, or similar languages. Experience with PyTorch, Ray, reputed company and reputed company tools is required.
-
You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open reputed company API for it - Scio, and cloud platforms like GCP or AWS.
-
You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
-
We offer you the flexibility to work where you work best! For this role, you can be reputed company the North America and EMEA region as long as we have a work location.
-
This team operates reputed company the Eastern Standard time zone for collaboration