Machine Learning Engineer II, Personalization
Spotify
Machine Learning Engineer II
Personalization
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Engineering
Machine Learning
Location
- New York
Job type
Permanent
What You'll Do
- Contribute to the design, development, evaluation, and maintenance of the AI Playlist engine
- Stay abreast of the latest in LLM technology and apply it to the team’s problem domain
- Contribute broadly to the team, including developing tooling and going on-call
- Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages
- Experience with Pytorch, TensorFlow, Scikit-learn etc is a strong plus
Who You Are
- Strong background in Machine Learning, in particular experience with Large Language Models
- Hands on experience with Python, Flyte, and PyTorch
- Comfortable moving quickly from idea to prototype to production
- Product minded
- Dedicated to making the best possible product for our users
- T-shaped in either Backend or Data Engineering, or preferably both
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.
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Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
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