Staff Machine Learning Engineer – Home Surfaces

🕒 September 10

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 powering Spotify's Home feed, including the Shortcuts experience • Design, build, and ship personalized recommendations for 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 the long-term architecture of personalization systems • Mentor and support other machine learning engineers

🎯 Requirements

• 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 • Strong proficiency in Python • Hands-on experience building machine learning systems with PyTorch • Experience with large language model training, fine-tuning, evaluation, and optimization, including SFT, distillation, and LoRA • Experience with large-scale inference systems and latency, reliability, and cost optimization • 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 • Effective communication across technical and non-technical audiences • Ability to influence technical decisions beyond the immediate team

🏖️ Benefits

• Equal opportunity employer • Reasonable accommodation support throughout the recruitment and interview process • Flexible remote work within the North Americas region where Spotify has a work location