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Senior Machine Learning Engineer, Surfaces Moments

3 hours, 16 minutes ago
North America, United States, Canada
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Airflow GCP LLM Machine Learning Python PyTorch
Apply Now
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006
View All Jobs 29

Description

  • Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
  • Design, build, and ship personalized recommendations for 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 supervised fine-tuning, distillation, and parameter-efficient methods.
  • 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 that support personalization at Spotify scale.

Requirements

  • 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, including SFT, distillation, and LoRA.
  • Experience with large-scale inference systems and optimization for latency, reliability, and cost.
  • Ability to design, execute, and interpret online experiments and A/B tests.
  • Experience operating distributed machine learning workloads using 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 across technical and non-technical audiences and comfort working in highly collaborative environments.

Benefits

  • Base salary range of $184,050 to $262,928 plus equity.
  • Health insurance.
  • Six months of paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off.
  • 13 paid flexible holidays.
  • Paid sick leave.

Interested in this position?

Apply directly on the company website

Apply Now

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