Hiring: Senior Machine Learning Engineer, Personalization, Muse Company: Spotify Location: New York, NY Job Posted Time: 2026-09-09 17:56:38 Employment Type: Full-time Target Skills & Keywords: Machine Learning, NLP, Generative AI, LLMs, Personalization, Recommender Systems, Reinforcement Fine-Tuning, DPO, Human Feedback, Apache Beam, Apache Spark, GCP, AWS, Distributed Data Processing, ML System Design, Music Understanding Experience: - Experienced in machine learning with a track record of solving complex real-world problems in collaborative environments - Hands-on experience building and deploying end-to-end ML systems at scale - Experience designing modular ML architectures and writing technical specifications in partnership with product teams - Familiarity with LLM-based systems and techniques for improving them using human feedback (e.g., reinforcement fine-tuning, DPO, or similar approaches) - Experience working with cloud platforms like GCP or AWS Required Skills: - Strong background in machine learning, natural language processing, and generative AI - Ability to apply theory to build real-world, production-ready applications - Proficiency with large-scale distributed data processing tools such as Apache Beam or Apache Spark - Design, build, evaluate, and ship LLM-based solutions for adaptive user experiences - Prototype new ML approaches and bring them into production at global scale - Build and improve scalable ML systems serving hundreds of millions of users - Promote best practices in ML system design, testing, evaluation, and deployment Qualifications: - Strong foundation in machine learning, NLP, and generative AI - Comfortable applying ML theory to production applications - Collaborative mindset with experience working across product, design, user research, data science, and engineering teams - Passion for contributing to a strong community of machine learning practitioners - Based in New York (flexible hybrid work with some in-person meetings) Compensation: - Base range: $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, and paid sick leave Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!