The Job

Staff Machine Learning Engineer

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Data engineering

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I korthet

As a Staff Machine Learning Engineer on the Personalization team, you will shape the future of discovery at Spotify by building and optimizing large-scale recommendation systems and LLMs. You will work on end-to-end ML systems, from research to production, and drive technical direction in a global context.

Ansvarsområden

  • Own and improve ML models and systems for the Home feed, including Shortcuts.
  • Design, build, and ship personalized recommendations for millions of users globally.
  • Build content 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 to define and execute experimentation strategies.
  • Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
  • Improve ML platform capabilities, data pipelines, and production systems.
  • Drive technical direction in ambiguous problem spaces and contribute to long-term architecture.
  • Mentor and support other machine learning engineers.

Krav

  • 8+ years of experience building and deploying ML systems in production.
  • Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
  • Strong proficiency in Python and hands-on experience with PyTorch.
  • Experience with large language model training, fine-tuning, evaluation, and optimization (SFT, distillation, LoRA).
  • Experience with large-scale inference systems, including latency, reliability, and cost optimization.
  • Effective communication across technical and non-technical audiences.
  • Experience designing, executing, and interpreting online experiments and A/B tests.
  • Experience operating distributed ML workloads with technologies like Ray, FSDP, or HSDP.
  • Experience building and maintaining data pipelines and orchestration workflows using Flyte, Airflow, BigQuery, and cloud storage.

Önskade kvalifikationer

  • You care deeply about creating high-quality user experiences through thoughtful application of machine learning.

Förmåner

  • The United States base range for this position is $227,495- $324,993 plus equity.
  • Health insurance
  • Six month paid parental leave
  • 401(k) retirement plan
  • Monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • Paid sick leave
  • Extensive learning opportunities through GreenHouse
  • Flexible share incentives
  • Global parental leave (six months for all new parents)
  • All The Feels (employee assistance program and self-care hub)
  • Flexible public holidays
#ML#Machine Learning#Personalization#Recommendations#LLM#Python#PyTorch#Production
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Företag

Spotify

Publicerade jobb

för 4 dagar sedan

Anställningstyp

Heltid

Arbetsform

Distans

Erfarenhetsnivå

Senior

Platser

New York, United States

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