Spotify - Machine Learning Engineer

• An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment - • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications • Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus • Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning • Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS • Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location. • This team operates within the Eastern Standard time zone for collaboration. • The United States base range for this position is $138,250- $197,500 plus equity. The benefits available for this position 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. These ranges may be modified in the future. • At 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.