Spotify
Staff Machine Learning Engineer - Policy & Safety
TLDR
Develop machine learning systems that ensure safety and compliance for diverse content types, enhancing user trust through proactive engineering and collaboration across teams.
What You Will Do
Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences
Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
Mentor and support other machine learning engineers, helping raise the bar across the team
Who You Are
You have experience building and shipping production-grade machine learning systems at scale
You have strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring
You have worked with multimodal machine learning systems across text, audio, image, or video domains
You are experienced with human-in-the-loop systems, active learning, or feedback-driven model improvement
You are comfortable translating complex requirements into technical solutions, including regulatory or policy constraints
You have experience working across teams and influencing technical direction in large-scale systems
You are comfortable navigating ambiguity and making thoughtful decisions that balance speed, quality, and risk
You communicate clearly and collaborate effectively with both technical and non-technical stakeholders
Where You Will Be
This role is based in New York, NY
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
The United States base range for this position is 227,495–324,993 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Benefits
Health Insurance
Monthly meal allowance
Paid Parental Leave
Six-month paid parental leave
Paid time off and flexible holidays
23 paid days off, 13 paid flexible holidays, and paid sick leave
Spotify is an audio streaming platform that delivers an extensive catalog of music, podcasts, and audiobooks, catering to hundreds of millions of users globally. It empowers artists by providing them with the means to monetize their creativity while offering fans unparalleled access to a diverse array of content, all driven by a passion for sound.
- Founded
- Founded 2006
- Employees
- 500+ employees
- Industry
- Media
- Total raised
- $2.6B raised
Staff Machine Learning Engineer