# Senior Machine Learning Engineer **Company**: Spotify **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Salary**: $184,050 - $262,928 **Category**: Engineering **Industry**: Technology **Apply**: https://jobs.lever.co/spotify/ab407f05-063e-4bf7-a7fc-be03b4097f14?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_0c4d9242-b25 ## Description The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. We're behind some of Spotify's most-loved features, such as Blend and Discover Weekly. The Surfaces Moments team is a machine learning team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. As a Senior Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. ## Responsibilities - Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience. - Design, build, and ship personalized recommendations that serve 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 such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. - Partner closely 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 techniques including SFT, distillation, and LoRA. - Work experience with large-scale inference systems and understanding of the challenges of latency, reliability, and cost optimization. - Ability to create high-quality user experiences through thoughtful application of machine learning. - Effective communication across technical and non-technical audiences and experience working in highly collaborative environments. - Knowledge of designing, executing, and interpreting online experiments and A/B tests to improve user outcomes. - 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. ## Location - Flexible work location within the North Americas region. - Team operates within the Eastern Standard time zone for collaboration. ## Additional Information - The United States base range for this position is $184,050 - $262,928 plus equity. - Benefits include 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. ## Skills ### Required - Machine Learning - Python - PyTorch - Recommendation Systems - Large Language Models - Distributed Machine Learning - Data Pipelines --- Source: [Apply at jobs.lever.co](https://jobs.lever.co/spotify/ab407f05-063e-4bf7-a7fc-be03b4097f14?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)