Spotify - Senior Machine Learning Engineer, Surfaces Moments

• You have 5+ years of experience building and deploying machine learning systems in production environments. • You have deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms. • You have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch. • You are experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA. • You have worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization. • You care deeply about creating high-quality user experiences through thoughtful application of machine learning. • You communicate effectively across technical and non-technical audiences and enjoy working in highly collaborative environments. • You know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes. • You have experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks. • You are experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms. • Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas 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 $184,050 $262,928 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.