Senior Machine Learning Engineer, Rewards - Spotify
View Company Profile- Job Title
- Senior Machine Learning Engineer, Rewards
- Job Location
- New York, NY
- 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 and podcasts 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.What You'll Do
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
- 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
Who You Are- You have a 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
- 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, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus
- You have 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
- You care about agile software processe
Where You'll Be- We offer you the 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
- This team operates within the Eastern Standard time zone for collaboration
Everything You Need, One Platform.
From job listings to startups, investors to funding rounds, and everything in between, Employbl puts the power in your hands. Why wait?
Start your free trial today!Stay Ahead of the Curve
Sign up for our newsletter to stay informed about the latest startups and trends in the tech market. Let Employbl be your guide to success.
Spotify Founded Year
2006