Hybrid opportunity at
SpotifySenior Machine Learning Engineer - Policy & Safety
Spotify seeks a Senior Machine Learning Engineer to join the Policy & Safety team, part of the Content Platform within the Experience Mission in New York.…
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About This Role
Spotify seeks a Senior Machine Learning Engineer to join the Policy & Safety team, part of the Content Platform within the Experience Mission in New York. Spotify designs end-to-end consumer experiences across mobile, desktop, smart speakers, TVs, cars, and partner integrations for billions of listeners. The Policy & Safety unit operates the content moderation infrastructure, developing detection models, policy enforcement systems, and compliance data pipelines to maintain platform trust. This…
Job Description
Spotify seeks a Senior Machine Learning Engineer to join the Policy & Safety team, part of the Content Platform within the Experience Mission in New York. Spotify designs end-to-end consumer experiences across mobile, desktop, smart speakers, TVs, cars, and partner integrations for billions of listeners. The Policy & Safety unit operates the content moderation infrastructure, developing detection models, policy enforcement systems, and compliance data pipelines to maintain platform trust.
This professional will design and deploy production-grade machine learning systems for content safety, lead technical initiatives, build evaluation frameworks, and drive experimentation to enhance model performance and fairness. The position suits engineers experienced in building scalable ML solutions and working collaboratively with cross-functional groups such as Trust & Safety, Legal, and Public Affairs.
Spotify operates on a hybrid work model based in New York, combining remote flexibility with required in-person meetings. The United States base salary range for this position spans from $184,050 to $262,928 USD, accompanied by equity and various employee benefits.
Responsibilities
- Design, construct, and launch production machine learning systems for content safety and policy enforcement
- Direct key technical projects covering detection, classification, and policy evaluation systems
- Create and upkeep machine learning models for content moderation utilizing multimodal and large language model frameworks
- Construct evaluation frameworks containing standardized datasets, offline and online metrics, and feedback loops
- Execute experimentation to boost model performance, reliability, and fairness
- Partner alongside Trust & Safety, Legal, and Public Affairs stakeholders
- Offer technical leadership by mentoring engineers and helping shape machine learning strategy
- Communicate technical trade-offs to stakeholders to influence product direction
Requirements
- Experience building and deploying machine learning systems in large-scale production environments
- Familiarity with training, evaluating, and maintaining machine learning models using PyTorch
- Understanding of machine learning evaluation including dataset design, metrics, and improvement systems
- Experience with distributed systems or backend technologies such as Scala
- Experience leading technical projects and guiding team direction
Core Skills
Benefits
- Health insurance
- Six-month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- Paid flexible holidays
- Paid sick leave
- Equity
Frequently Asked Questions
What is the location and remote work policy for this role?
The position is based in New York with a hybrid setup. Employees have the flexibility to work from home alongside some in-person meetings.
What is the salary range for the Senior Machine Learning Engineer position?
The United States base salary range is between $184,050 and $262,928 USD, plus equity.
What benefits are provided by Spotify for this role?
Provided benefits include health insurance, a six-month paid parental leave, a 401(k) retirement plan, a monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave.
What team does this role belong to?
This role sits within the Policy & Safety team inside the Content Platform of the Experience Mission.
Sample Interview Questions
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