Staff Machine Learning Engineer
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Engineering
In short
As a Staff Machine Learning Engineer on the Personalization team, you will shape the future of discovery at Spotify by building and optimizing large-scale recommendation systems and LLMs. You will work on end-to-end ML systems, from research to production, and drive technical direction in a global context.
Responsibilities
- Own and improve ML models and systems for the Home feed, including Shortcuts.
- Design, build, and ship personalized recommendations for millions of users 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.
- 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.
- Drive technical direction in ambiguous problem spaces and contribute to long-term architecture.
- Mentor and support other machine learning engineers.
Requirements
- 8+ years of experience building and deploying ML systems in production.
- Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
- Strong proficiency in Python and hands-on experience with PyTorch.
- Experience with large language model training, fine-tuning, evaluation, and optimization (SFT, distillation, LoRA).
- Experience with large-scale inference systems, including latency, reliability, and cost optimization.
- Effective communication across technical and non-technical audiences.
- Experience designing, executing, and interpreting online experiments and A/B tests.
- Experience operating distributed ML workloads with technologies like Ray, FSDP, or HSDP.
- Experience building and maintaining data pipelines and orchestration workflows using Flyte, Airflow, BigQuery, and cloud storage.
Desired Qualifications
- You care deeply about creating high-quality user experiences through thoughtful application of machine learning.
Benefits
- The United States base range for this position is $227,495- $324,993 plus equity.
- 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
- Extensive learning opportunities through GreenHouse
- Flexible share incentives
- Global parental leave (six months for all new parents)
- All The Feels (employee assistance program and self-care hub)
- Flexible public holidays
#ML#Machine Learning#Personalization#Recommendations#LLM#Python#PyTorch#Production
Company
Spotify
Job Posted
4 days ago
Employment Type
Full Time
WorkMode
Remote
Experience Level
Senior
Locations
New York, United States
Applicants
Be an early applicant