Spotify
Tech / AI / Software
MachineLearningEngineerI,Personalization,Minesweeper
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer I, Personalization, Minesweeper at Spotify. Skills: Machine Learning Engineering, Large Language Models, Personalization, Content enrichment, Recommendations. Utilize in-house and 3rd party LLMs to solve language understanding problems. Employ techniques such as fine-tuning and RAG to improve models”
What You'll Achieve.
Make deciding what to play next on Spotify easier and more enjoyable for every listener; Understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person and keep the world listening; Build reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators; Improve quality of our content enrichment assets
Industry & Context.
Solve language understanding problems
This team operates within the Eastern Standard time zone for collaboration.
What They're Looking For.
Must Have
Professional experience in applied machine learning, Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required), Cloud platforms (GCP or AWS), Hands-on experience implementing or prototyping machine learning systems at scale, Experience architecting data pipelines, Self-sufficient in getting the data you need to build and evaluate models, Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks
Nice to Have
Experience with Ray or TFX is a plus, Experience with architecting near real time pipelines
What You'll Do.
Utilize in-house and 3rd party LLMs to solve language understanding problems
Employ techniques such as fine-tuning and RAG to improve models
Contribute to designing
and refining Spotify’s product by hands-on ML development
Help drive optimization
and tooling to improve quality of our content enrichment assets
Perform data analysis to establish baselines and inform product decisions
Stay up-to-date on the latest machine learning algorithms and techniques
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies; Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems; Fostering collaborative teams
Full Job Description
## Description The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.” Personalization’s Minesweeper squad produces Human Understandable Language Knowledge to enrich music and talk content understanding. We use AI and ML techniques, including Large Language Models, to understand music, podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators. We are looking for a Machine Learning Engineer to join our team and help build the future of music, podcast and audiobook listening experiences for millions of listeners at Spotify. This is a unique opportunity to help develop and shape Spotify content enrichment, and recommendations. You’ll grow your skills in ML engineering at scale, work with a cross-functional team of Data Engineers, Backend Engineers, and researchers, and join a motivated and supportive team. ## What You'll Do Utilize in-house and 3rd party LLMs to solve language understanding problems Employ techniques such as fine-tuning and RAG to improve models Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development Help drive optimization, testing, and tooling to improve quality of our content enrichment assets Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies Be a participant in our AI Foundation’s ML community and work collaboratively a
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