Senior Machine Learning Engineer - Policy & Safety
What You'll Do
- Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
- Own and lead key technical initiatives across detection, classification, and policy evaluation systems
- Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
- Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
- Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
- Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
- Represent technical decisions and trade-offs in stakeholder discussions and influence product direction
Who You Are
- Solid experience building and deploying machine learning systems in production environments at scale
- Experience with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
- Deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
- Experience designing systems that balance performance, reliability, and real-world impact in high-stakes domains
- A passion for building safe, responsible, and user-centric ML systems
- Comfortable working across disciplines, partnering with legal, policy, and product stakeholders
- Experience leading technical projects and influencing direction within a team or product area
- Experience with distributed systems or backend technologies (e.g., Scala)
Where You'll Be
This role is based in New York. 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 $184,050 - $262,928 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, paid flexible holidays, and paid sick leave.
These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please contact us.
Find our AI notice here: https://lifeatspotify.com/ai-notice
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