{"active":true,"apply_url":"https://jobs.lever.co/spotify/281e7db9-86ba-4a1c-8773-c23b96ed32dc/apply","company":{"claimed":false,"name":"Spotify","slug":"spotify","website":"https://www.spotify.com"},"countries":["US"],"employment_type":"full-time","first_seen_at":"2026-10-15T11:41:54Z","getwork_url":"https://getwork.dev/jobs/lv-spotify-281e7db9-86ba-4a1c-8773-c23b96ed32dc/","id":"lv-spotify-281e7db9-86ba-4a1c-8773-c23b96ed32dc","injection_flag":false,"last_seen_at":"2026-10-28T23:00:10Z","location":"New York, NY","published_at":"2026-09-10T20:25:45Z","regions":["north_america"],"remote":"remote","role_family":"ml","salary":null,"seniority":"staff","stack":["python","pytorch","llm"],"stack_mentioned":[],"title":"Staff Machine Learning Engineer, Home Surfaces","untrusted_description":"\n\nWhat You'll Do\n-\nOwn and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.\n\n-\nDesign, build, and ship personalized recommendations that serve millions of Spotify listeners globally.\n\n-\nBuild content recommendation systems for emerging agentic and AI-powered user experiences.\n\n-\nTrain, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches.\n\n-\nPartner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.\n\n-\nDrive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.\n\n-\nImprove ML platform capabilities, data pipelines, and production systems that support personalization at Spotify scale.\n\n-\nDrive technical direction in ambiguous problem spaces and contribute to the long-term architecture of personalization systems.\n\n-\nMentor and support other machine learning engineers, helping raise the bar across the team.\n\nWho You Are\n-\nYou have 8+ years of experience building and deploying machine learning systems in production environments.\n\n-\nYou have deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.\n\n-\nYou have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.\n\n-\nYou are experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA.\n\n-\nYou have worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization.\n\n-\nYou care deeply about creating high-quality user experiences through thoughtful application of machine learning.\n\n-\nYou communicate effectively across technical and non-technical audiences, and you influence technical decisions beyond your immediate team\n\n-\nYou know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes.\n\n-\nYou have experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks.\n\n-\nYou are experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms.\n\nWhere You'll Be\n-\nWe offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.\n\n-\nThis team operates within the Eastern Standard time zone for collaboration.\n\nSpotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.\n\nAt Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.","url":"https://jobs.lever.co/spotify/281e7db9-86ba-4a1c-8773-c23b96ed32dc"}