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Staff Machine Learning Engineer, Home Surfaces

Bangun sistem rekomendasi untuk jutaan pengguna Spotify

Anda akan bekerja di tim Personalization di Spotify, yang bertanggung jawab atas fitur-fitur seperti Blend dan Discover Weekly. Tim Surfaces Moments fokus pada pengalaman berbasis moment di berbagai permukaan Spotify, seperti Home Shortcuts. Anda akan menggunakan machine learning, sistem rekomendasi, dan pemikiran produk untuk memberikan pengalaman yang relevan dan personal untuk jutaan pengguna di seluruh dunia.

Kenapa Menarik?

Anda akan bekerja di tim yang mengembangkan fitur-fitur paling populer Spotify

Tanggung Jawab Utama

  • Membangun dan mengembangkan sistem rekomendasi untuk pengalaman berbasis moment
  • Mengintegrasikan model machine learning dari penelitian ke produksi
  • Mengarahkan arah teknis dalam masalah yang ambigu
  • Menyelesaikan tantangan personalisasi yang kompleks di skala global

Persyaratan

  • Pengalaman dalam machine learning dan sistem rekomendasi
  • Kemampuan untuk bekerja dengan large language models
  • Pengalaman dalam pengembangan infrastruktur machine learning di skala produksi

Skills Wajib

machine learningrecommendation systemsdata scienceproduct thinkinglarge language models

Konteks Indonesia

Overlap Jam Kerja:
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Deskripsi asli dari Lever Postings

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. Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world. As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.

Konteks Gaji

Posisi Engineering serupa di LokerDollar dibayar sekitar $219.1k/yr (kisaran $41k–1000k/yr, dari 643 listing aktif).

Perekrutan di Spotify

Spotify punya 22 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 7 Mei 2026 — di kategori Engineering, Data & Analytics, Operations, Writing & Content.

Lihat semua lowongan Spotify →

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Perusahaan
Spotify
Tipe Lowongan
full time
Lokasi
Stockholm, Sweden · Remote
Kategori
Level
senior
DipostingNewBaru & terverifikasi
10 Sep 2026

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