Senior Machine Learning Engineer, Surfaces Moments

🕒 July 23

🗽 New York – Remote

🗽 New York – Remote

💵 $184.1k - $262.9k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience. • Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally. • Build content recommendation systems for emerging agentic and AI-powered user experiences. • Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. • Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies. • Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency. • Improve ML platform capabilities, data pipelines, and production systems that support personalization at Spotify scale.

🎯 Requirements

• 5+ 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 • strong proficiency in Python and hands-on experience building machine learning systems with PyTorch • experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA • worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization • care deeply about creating high-quality user experiences through thoughtful application of machine learning • communicate effectively across technical and non-technical audiences and enjoy working in highly collaborative environments • know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes • experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms

🏖️ Benefits

• 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