Staff Machine Learning Engineer, Personalization

🕒 July 30

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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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. • Design, build, and ship personalized recommendations serving millions of Spotify listeners globally. • Build content recommendation systems for emerging AI-powered user experiences. • Train, fine-tune, evaluate, and optimize large language models using various techniques. • Partner with product managers, engineers, data scientists, and designers to 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. • Drive technical direction in ambiguous problem spaces and contribute to long-term architecture of personalization systems. • Mentor and support other machine learning engineers, helping raise the bar across the team.

🎯 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 and hands-on experience building machine learning systems with PyTorch. • Experienced with large language model training, fine-tuning, evaluation, and optimization techniques. • Worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization. • Deeply care about creating high-quality user experiences through thoughtful application of machine learning. • Effectively communicate across technical and non-technical audiences, influencing technical decisions beyond immediate team. • Know how to design, execute, and interpret online experiments and A/B tests to improve user outcomes. • Experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks. • Experienced building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms.

🏖️ Benefits

• Spotify is an equal opportunity employer. You are welcome at Spotify for who you are. • Passionate about inclusivity and making sure our entire recruitment process is accessible. • Reasonable accommodations during the interview process and help assist in what you need.