Senior Machine Learning Engineer - Policy & Safety in New York

Energy Jobline ZR; New York (NY); Hybrid; USD 184,000 - 263,000; Full time

Benefits offered by this job

Health insurance

Six-month parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

Paid flexible holidays

Paid sick leave

Job summary

Spotify seeks an experienced machine learning leader to design, build, and ship production-grade ML systems powering content safety at scale. You will own key initiatives across detection, classification, and policy evaluation, and mentor engineers on ML strategy.

You will develop and maintain models for content moderation, including multimodal and LLM-based systems, while driving robust evaluation and experimentation to improve performance and fairness.

Qualifications

• Experience building and deploying ML systems in production at scale.
• Experience training, evaluating, maintaining ML models with PyTorch.
• Understanding ML evaluation, datasets, metrics, and continuous improvement.
• Design systems balancing performance, reliability and impact in high-stakes domains.
• Focus on safe, responsible, user-centric ML.
• Collaborate with legal, policy, and product stakeholders.
• Experience leading technical projects and influencing direction.
• Experience with distributed systems or backend tech (Scala).

Responsibilities

• Design, build, and ship production-grade ML systems powering content safety at Spotify scale.
• Own and lead key technical initiatives across detection, classification, and policy evaluation systems.
• Develop and maintain ML models for content moderation, including multimodal and LLM-based systems.
• Build robust evaluation frameworks, datasets, offline and online metrics, and improvement loops.
• Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems.
• Collaborate with Trust & Safety, Legal, and Public Affairs to align on policy needs.
• Provide technical leadership, mentoring engineers and shaping ML strategy.
• Represent technical decisions and trade-offs in stakeholder discussions and product direction.

Skills

Production ML systems

Model evaluation

Distributed systems

Cross-functional collaboration

Team leadership

ML project influence

Tools

Scala

PyTorch

Job description

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
• Develop and maintain ML models for content moderation, including multimodal and LLM-based 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

• You have solid experience building and deploying machine learning systems in production environments at scale
• You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
• You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
• You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains
• You care about building safe, responsible, and user-centric ML systems
• You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
• You have experience leading technical projects and influencing direction within a team or product area
• You have 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.

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