Spotify

Staff Machine Learning Engineer, Home Surfaces

Spotify
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1 month ago
Boston, MA, USA or New York, NY, USAStaff+
H1B sponsor

Base Salary

$227k - $325k/yr

Responsibilities

  • Own and improve machine learning models and systems powering Spotify’s Home feed and Shortcuts experience.
  • Design, build, and ship personalized podcast and content recommendation systems serving millions of listeners globally.
  • Build recommendation systems for emerging agentic and AI-powered user experiences.
  • Train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient training.
  • Partner with Product Managers, Engineers, Data Scientists, and Designers on experimentation strategies.
  • Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost.
  • Improve ML platforms, data pipelines, orchestration workflows, and production systems supporting personalization.
  • Set technical direction, contribute to long-term personalization architecture, and solve ambiguous technical problems.
  • Mentor Machine Learning Engineers and strengthen engineering practices across the team.

Requirements

  • Deep experience building and deploying machine learning systems in production.
  • Deep experience with recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
  • Proficiency in Python and hands-on experience building machine learning systems with PyTorch.
  • Experience training, fine-tuning, evaluating, and optimizing large language models, including SFT, distillation, and LoRA.
  • Experience with large-scale inference systems and latency, reliability, and cost optimization.
  • Ability to design, execute, and interpret online experiments and A/B tests.
  • Experience operating distributed machine learning workloads with Ray, FSDP, HSDP, or similar frameworks.
  • Experience building and maintaining data pipelines and orchestration workflows using Flyte, Airflow, BigQuery, and cloud-based storage platforms.
  • Strong communication skills and the ability to influence technical decisions beyond the immediate team.

Benefits

  • North America work location flexibility where Spotify has a work location.
  • Collaboration within the Eastern Standard time zone.
  • Health insurance.
  • Six months of paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off, 13 paid flexible holidays, and paid sick leave.
  • Equity is included in addition to base pay.

Tech Stack

Apache AirflowGoogle BigQueryPythonPyTorch

Categories

Spotify

About Spotify

10,000+ employees

Spotify builds a global audio streaming platform for listeners and creators, offering on-demand music and podcasts across mobile, desktop, and connected devices. The business runs a freemium model: an ad-supported free tier and a paid Premium subscription, plus creator tools like Spotify for Artists and podcast publishing. Founded in 2006 and headquartered in Stockholm, it is a publicly traded company on the NYSE (SPOT) serving consumers and rights holders worldwide.

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