Machine Learning Engineer I, Personalization ,… at Spotify · Remote

Summary: Spotify is a leading audio streaming subscription service that aims to enhance the listening experience for millions. They are seeking a Machine Learning Engineer to join their Personalization team, focusing on developing AI and ML techniques to improve music and content recommendations for users. Responsibilities: - 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 and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions - Stay up-to-date on the latest machine learning algorithms and techniques Required Qualifications: - You have a strong background in machine learning, especially experience with Large Language Models - You 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) and cloud platforms (GCP or AWS) - You have some hands-on experience implementing or prototyping machine learning systems at scale - You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark - You care about agile software processes, data-driven development, reliability, and disciplined experimentation - You have experience and passion for fostering collaborative teams - Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks Preferred Qualifications: - Experience with Ray or TFX is a plus - Bonus if you have experience with architecting near real time pipelines Required Skills: Machine learning, Large Language Models, Python, Scala, Java, SQL, Google Cloud Platform, Amazon Web Services, Dataflow, Apache Beam, Apache Spark, PyTorch, TensorFlow Benefits: 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