Senior Machine Learning Engineer, Surfaces Moments
$184,050–$262,928 year
On-siteNew York, United States
Job Summary
Own and improve the machine learning models and systems powering the Home feed, including the Shortcuts experience. Design, build, and ship personalized recommendations serving millions of global listeners, while training, fine-tuning, and optimizing large language models using techniques like supervised fine-tuning and distillation. Build content recommendation systems for emerging agentic and AI-powered user experiences, driving A/B testing and continuous optimization of recommendation quality and cost efficiency. Partner with product managers, engineers, and designers to define experimentation strategies and improve ML platform capabilities and data pipelines supporting personalization at Spotify scale.
Required Qualifications
- 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
- 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 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
- experience within the North Americas region
- ability to work within the Eastern Standard time zone
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