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Senior Machine Learning Engineer

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap · Mjukvaruutveckling

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I korthet

Spotify seeks a Senior Machine Learning Engineer to enhance personalized discovery and user engagement through moment-based experiences. You will develop and deploy cutting-edge ML models, including large language models, and recommendation systems at scale, collaborating across teams to drive innovation.

Ansvarsområden

  • Own and improve machine learning models and systems for the Home feed and Shortcuts experience.
  • Design, build, and ship personalized recommendations serving millions of Spotify listeners globally.
  • Build content recommendation systems for emerging agentic and AI-powered user experiences.
  • Train, fine-tune, evaluate, and optimize large language models using techniques like 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 supporting personalization at Spotify scale.

Krav

  • 5+ years of experience building and deploying machine learning systems in production environments.
  • Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
  • Strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.
  • Experience with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA.
  • Experience with large-scale inference systems, understanding challenges of latency, reliability, and cost optimization.
  • Ability to design, execute, and interpret online experiments and A/B tests.
  • Experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks.
  • Experience building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms.

Önskade kvalifikationer

  • Care deeply about creating high-quality user experiences through thoughtful application of machine learning.
  • Communicate effectively across technical and non-technical audiences and enjoy working in highly collaborative environments.

Förmåner

  • Base salary range: $184,050 - $262,928 plus equity.
  • Health insurance.
  • Six months 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.
  • All The Feels employee assistance program and self-care hub.
  • Flexible public holidays.
#Machine Learning#Personalization#Recommendation Systems#Large Language Models#Python#PyTorch#Production ML
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Företag

Spotify

Publicerade jobb

för 1 vecka sedan

Anställningstyp

Heltid

Arbetsform

Distans

Erfarenhetsnivå

Senior

Platser

New York, United States

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