Associate Machine Learning Engineer, Trust & Safety Intelligence
Job Description:
• help develop AI and ML systems that improve how Spotify detects, reviews, and manages risky or non-compliant activity
• work with engineers, data scientists, and policy partners to design and evaluate models
• automate performance tracking and enhance transparency and auditability
• building solutions that advance safety, compliance, and responsible innovation
Requirements:
• 1+ years of experience (academic or professional) applying ML, NLP, or data science methods to real-world problems
• working knowledge of machine learning fundamentals
• hands-on experience with Python and modern ML frameworks like PyTorch or TensorFlow
• experience working with large datasets, model evaluation, and data exploration in SQL or similar tools
• knowledge and/or experience building workflows that integrate LLMs and data into autonomous, multi-step workflows
• collaboration skills and clear communication across disciplines
Benefits:
• 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
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