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Machine Learning Engineer, Trust & Safety

Remote · USA Full-time New today

In A Nutshell Location Hybrid New York or San Francisco, NY or CA, USA Salary $340,000-$425,000 Job Type Full-time Experience Level Mid-level Visa Sponsorship Available Deadline to apply February 21, 2025 Work to train models which detect harmful behaviors and help ensure user well-being and uphold Anthropic’s principles of safety, transparency, and oversight while enforcing 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. Skillset • 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. Apply Now Spot any inaccurate information? Have a job to share? Let us know. Apply Job!

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