Be a strategic thought leader for AI Foundations as a whole Lead strategic execution around ML systems and training infrastructure and deploying large models Be as a technical leader across the broader Cruise AI and Engineering organizations to deliver production systems and mentor Engineers Define execution processes that strive for streamlined engineering development with robust quality and excellence Contribute broadly on the needs and strategy from data, to training, to deployment Utilize your deep understanding of data characteristics, model architectures, optimization techniques, or other ML domain-specific challenges to perform critical analysis of modeling results Propose ways to improve the quality of the data for the model training and evaluation, automate data collection for reproducibility. Closely follow industry and academic developments in the SOTA for the AI life-cycle and ML Systems domain’s and adopt technology that is the best fit for Cruise’s needs. Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs. Effectively participate in team’s planning, code reviews and design discussions Consider the effects of projects across multiple teams and proactively manage risks/conflicts. Work together with partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns

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