Senior Machine Learning Engineer – Responsible AI, Applied Research Science

Role Overview

• Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications
• Collaborate with other engineering teams to leverage their platforms and signals
• Mentor junior engineers on the Responsible AI team and across the company
• Work with the team and senior leaders at the company to define and drive technical strategy in this area.

Requirements

• 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 1+ years experience leading cross-team engineering efforts
• Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology
• Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS)
• Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale
• Masters or PhD in Comp Sci or related fields
• Publications at top ML conferences (nice to have)

Benefits

• Health insurance
• Paid time off
• Flexible working arrangements
• Professional development opportunities
• Equity options