Anthropic - CA | New York City, NY
posted 2 days ago
- Mid Level
CA | New York City, NY
Publishing Industries
About the position
We 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 stage
Requirements
- 4+ years of experience in a research/ML engineering or an applied research scientist position, preferably with a focus on trust and safety
- Proficiency in SQL, Python, and data analysis/data mining tools
- Proficiency in building trust and safety AI/ML systems, such as behavioral classifiers or anomaly detection
- 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
Nice-to-haves
- Experience with machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch
- Experience with high-performance, large-scale ML systems
- Experience with language modeling with transformers
- Experience with reinforcement learning
- Experience with large-scale ETL
