Machine Learning Engineer, Trust & Safety - San Francisco California

Company: Anthropic
Location: San Francisco, California
Posted On: 01/30/2025

About the roleWe are looking for ML engineers to help build safety and oversight mechanisms for our AI systems. As a Trust and Safety Machine Learning Engineer, you will work to train models which detect harmful behaviors and help ensure user well-being. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.Responsibilities:

• Build machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production system
• Improve our automated detection and enforcement systems as needed
• Analyze user reports of inappropriate accounts and build machine learning models to detect similar instances proactively
• Surface abuse patterns to our research teams to harden models at the training stageYou may be a good fit if you:
  • Have 4+ years of experience in a research/ML engineering or an applied research scientist position, preferably with a focus on trust and safety.
  • Have proficiency in SQL, Python, and data analysis/data mining tools.
  • Have proficiency in building trust and safety AI/ML systems, such as behavioral classifiers or anomaly detection.
  • Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
  • Care about the societal impacts and long-term implications of your work.Strong candidates may also have experience with:
    • Machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch
    • High-performance, large-scale ML systems
    • Language modeling with transformers
    • Reinforcement learning
    • Large-scale ETL
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