The company is looking to build safety and oversight mechanisms for its AI systems to detect harmful behaviors and ensure user well-being.
Requirements
- 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
- Machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch
- High-performance, large-scale ML systems
- Language modeling with transformers
- Reinforcement learning
- Large-scale ETL
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
Other
- At least a Bachelor's degree in a related field or equivalent experience
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
- Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate
- 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
