Machine Learning Engineer, Trust & Safety

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 systemImprove our automated detection and enforcement systems as neededAnalyze user reports of inappropriate accounts and build machine learning models to detect similar instances proactivelySurface 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 PyTorchHigh-performance, large-scale ML systemsLanguage modeling with transformersReinforcement learningLarge-scale ETL
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