Research Engineer – Multimodal Safety

Research Engineer – Multimodal Safety

Requirements

• Solid foundation in multimodal research and post-training techniques
• Very proficient in Python
• Strong communication skills

Responsibilities

• Build evaluation pipelines to assess risk along various axes, especially with multimodal inputs and outputs
• Implement risk mitigation techniques such as building safety reward models and RL
• Develop and refine multimodal moderation models to detect and mitigate known and emerging patterns of AI misuse and abuse
• Work with other safety teams within the company to iterate on our content policies to ensure effective prevention of harmful behavior
• Work with our human data team to conduct internal and external red teaming to examine the robustness of our harm prevention systems and identify areas for future improvement
• Write maintainable, efficient, and well-tested code as part of our evaluation libraries

Preferred Qualifications

• Collaborative team player – willing to do whatever it takes in a start-up environment
• Experience working in complex technical environments
• Passionate about bringing magical AI experiences to millions of users
• Enjoy diving into the subtle details of datasets and evaluations