Staff ML Engineer: Personalization & Recommendations

Spotify; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Spotify is seeking a machine learning engineer to own and improve the recommendations powering the Home feed and Shortcuts, delivering personalized experiences to millions of users. You will design scalable models and work with data scientists to measure impact.

You will lead content recommendation initiatives, including training and fine-tuning large language models using SFT and distillation, and you will mentor engineers while collaborating with product and platform teams to ship experiments

Responsibilities

• Own and improve machine learning models powering the Home feed and Shortcuts experience, delivering personalized recommendations to millions of users globally.
• Design and build content recommendation systems for emerging AI-powered experiences, including training and fine-tuning large language models using SFT, distillation, and parameter-efficient methods.
• Drive technical direction, mentor other engineers, and collaborate with cross-functional teams to execute experiments and optimize recommendation quality at scale.

Job description

Spotify is seeking a machine learning engineer to own and improve the recommendations powering the Home feed and Shortcuts, delivering personalized experiences to millions of users. You will design scalable models and work with data scientists to measure impact.

You will lead content recommendation initiatives, including training and fine-tuning large language models using SFT and distillation, and you will mentor engineers while collaborating with product and platform teams to ship experiments