Machine Learning Engineer II

Job Summary

Focusing on responsible AI initiatives, the full-time Machine Learning Engineer II will execute projects to identify and mitigate bias in ML applications, collaborate across engineering teams, and mentor junior engineers, all while working remotely or onsite in San Francisco.

Key responsibilities

• Execute projects in responsible AI to identify, avoid, and mitigate bias across various ML applications
• Collaborate with engineering teams to adopt and evaluate Responsible AI practices and ML Fairness tooling
• Mentor junior engineers and drive technical strategy in responsible AI initiatives

Required qualifications

• Extensive experience applying advanced ML methods to production systems with a focus on responsible technology
• Deep familiarity with cutting-edge ML architectures and their applications in large-scale Search and Recommender Systems
• Proven ability to measure, deploy, and refine fairness interventions at scale
• 2+ years of experience in engineering teams building large-scale ML-driven user-facing products
• Master's or PhD in Computer Science or related fields