Spotify
Staff Machine Learning Engineer, Personalization
New York, NY · Staff+
Sponsorship not specified$227k-$325kDetected 1 day ago
PythonBigQueryMachine LearningAirflowData EngineeringNLPLLMsA/B TestingResearch
> stay_score
odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify.
- This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.
Responsibilities
- 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.
- Drive technical direction in ambiguous problem spaces and contribute to the long-term architecture of personalization systems.
Requirements
- You have deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
- You are experienced with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and LoRA.
- You have worked with large-scale inference systems and understand the challenges of latency, reliability, and cost optimization.
- You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones.
Compensation
- $227k-$325k
Benefits
- Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
- Mentor and support other machine learning engineers, helping raise the bar across the team.
- You have 8+ years of experience building and deploying machine learning systems in production environments.
- You have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.
Company info
- Where You'll Be - We offer you the flexibility to work where you work best!
- At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
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This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.