Spotify - Machine Learning Engineer

• You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes. • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders. • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. • Experience with PyTorch, Ray, Hugging Face and related tools is required. • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS. • You care about agile software processes, data-driven development, reliability, and disciplined experimentation. • 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 $148,000 $212,000 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.