Set and communicate priorities for multiple workstreams that support the broader responsibility organization's goals. Align strategy, processes, and decision-making across teams, and move engineering capacity between research projects as priorities change. Set clear expectations with individuals, including tech leads, based on their level and role. Meet regularly to discuss performance and development, provide feedback and coaching, and hire and grow a high-performing team.
Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams, covering systems such as evaluation pipelines, red-teaming tools, autoraters, and mitigation training pipelines. Evolve it as frontier models become more capable, agentic, and multimodal. Oversee system designs and review code to solve ambiguous problems. Set best practices for code quality, scalability, reliability, and secure handling of sensitive data.
Partner with Research Scientists, Subject-Matter Experts, and Product, Program, Policy, and Trust and Safety teams to turn research into evaluations and mitigations that inform model launch decisions. Present trade-offs and results to senior leadership.
Job description provided by Google.
View the original posting
