Hiring: Staff Machine Learning Engineer, Personalization Company: Spotify Location: New York, NY Job Posted Time: 2026-09-13 17:56:37 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Recommendation Systems, Personalization, Large Language Models (LLMs), Ranking Models, PyTorch, Python, SFT, Distillation, LoRA, A/B Testing, Distributed Training, Ray, FSDP, HSDP, Flyte, Airflow, BigQuery, Data Pipelines, Inference Systems, Model Evaluation, Content Discovery Experience: - 8+ years of experience building and deploying machine learning systems in production environments - Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms - Experience with large-scale inference systems and understanding challenges of latency, reliability, and cost optimization - Experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks - Experience building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms Required Skills: - Strong proficiency in Python - Hands-on experience building machine learning systems with PyTorch - Large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA - Designing, executing, and interpreting online experiments and A/B tests - Driving technical direction in ambiguous problem spaces - Mentoring and supporting other machine learning engineers - Effective communication across technical and non-technical audiences Qualifications: - Deep care for creating high-quality user experiences through thoughtful application of machine learning - Ability to influence technical decisions beyond immediate team - Experience partnering closely with product managers, engineers, data scientists, and designers - Track record of taking models from research to production - Ability to work within Eastern Standard time zone for collaboration - Must be within the North Americas region Compensation: - Base range: $227,495 – $324,993 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, 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!