Staff Machine Learning Engineer, Home Surfaces

🔥 13 hours ago

🗽 New York, Massachusetts – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $227.5k - $325k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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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 machine learning models and systems powering the Home feed, including the Shortcuts experience • Design, build, and ship personalized recommendations serving 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 SFT, distillation, and parameter-efficient training approaches • Partner 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 supporting personalization at Spotify scale • Drive technical direction in ambiguous problem spaces and contribute to long-term personalization-system architecture • Mentor and support other Machine Learning Engineers and strengthen engineering practices across the team

🎯 Requirements

• Deep experience building and deploying machine learning systems in production environments • Deep experience with recommendation systems, ranking models, personalization, or large-scale content discovery platforms • Proficiency in Python • Hands-on experience building machine learning systems with PyTorch • Experience with large language model training, fine-tuning, evaluation, and optimization techniques, including SFT, distillation, and LoRA • Experience with large-scale inference systems and understanding of latency, reliability, and cost optimization challenges • Ability to design, execute, and interpret online experiments and A/B tests • Experience operating distributed machine learning workloads using Ray, FSDP, HSDP, or similar frameworks • Experience building and maintaining data pipelines and orchestration workflows using Flyte, Airflow, BigQuery, and cloud-based storage platforms • Ability to communicate effectively with technical and non-technical partners and influence technical decisions • Ability to work within the North Americas region where Spotify has a work location • Availability to collaborate within the Eastern Standard time zone

🏖️ 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 • equity