Senior Machine Learning Engineer, Surfaces Moments

This is a fully remote position, open to applicants in New York.

📋 Description

• Take ownership and enhance the machine learning models and systems that drive the Home feed, including the Shortcuts experience.

• Develop, construct, and launch personalized recommendations that cater to millions of Spotify listeners around the world.

• Create content recommendation systems for innovative agentic and AI-driven user experiences.

• Train, fine-tune, assess, and optimize large language models utilizing techniques like supervised fine-tuning (SFT), distillation, and parameter-efficient training methods.

• Collaborate closely with product managers, engineers, data scientists, and designers to establish and implement experimentation strategies.

• Lead A/B testing, monitoring, model evaluation, and ongoing optimization of recommendation quality, reliability, and cost-effectiveness.

• Enhance ML platform capabilities, data pipelines, and production systems that facilitate personalization at the scale of Spotify.

⛳️ Requirements

• Over 5 years of experience in building and deploying machine learning systems in production settings.

• Profound expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.

• Strong proficiency in Python, with practical experience in constructing machine learning systems using PyTorch.

• Familiarity with large language model training, fine-tuning, evaluation, and optimization methods, including SFT, distillation, and LoRA.

• Experience with large-scale inference systems and an understanding of the challenges related to latency, reliability, and cost optimization.

• A strong commitment to delivering high-quality user experiences through the thoughtful application of machine learning.

• Ability to communicate effectively with both technical and non-technical audiences and thrive in highly collaborative settings.

• Proficient in designing, executing, and interpreting online experiments and A/B tests to enhance user outcomes.

• Experienced in building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage solutions.

🏝️ Benefits

• Health insurance

• Six months of paid parental leave

• 401(k) retirement plan

• Monthly meal allowance

• 23 paid days off

• 13 paid flexible holidays

• Paid sick leave