Machine Learning Engineer, Trust & Safety - Remote

Overview

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.

In Short

• Build machine learning models to detect unwanted or anomalous behaviors from users and API partners.
• Improve automated detection and enforcement systems.
• Analyze user reports of inappropriate accounts.
• Surface abuse patterns to research teams.
• 4+ years of experience in ML engineering or applied research.
• Proficiency in SQL, Python, and data analysis tools.
• Experience with trust and safety AI/ML systems.
• Strong communication skills.
• Care about societal impacts of AI.
• Experience with ML frameworks like Scikit-Learn, TensorFlow, or PyTorch.

Requirements

• 4+ years of experience in a research/ML engineering role.
• Proficiency in SQL, Python, and data analysis/data mining tools.
• Experience in building trust and safety AI/ML systems.
• Strong communication skills.
• Interest in societal impacts of AI.

Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative office space.