Senior Staff Machine Learning Engineer - AI Foundations

June 4

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Cruise

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A self-driving service designed for the cities we love. Sign up to take fully driverless rides: getcruise.com

Self-Driving Cars • Autonomous Vehicles • Robotics • Artificial Intelligence (AI) • Deep Learning

1001 - 5000

Description

• 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 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

Requirements

• 5+ years working on ML systems for training and deploying complex ML models by employing SOTA techniques in the area of distributed training and deployment • Experience working on the scaling challenges associated with building LLMs and/or other large foundational models. • Passionate about self-driving technology and its potential impact on the world • Attention to detail and a passion for truth • A track record of efficiently solving complex problems collaboratively on larger teams • Startup mentality - openness to dealing with unknown unknowns and wearing many hats • Strong expertise in writing production quality code and setting standards for code quality across engineering teams • Experience in driving technical strategy and vision for engineering teams and organizations • Leadership experience for planning and execution of cross-functional initiatives and projects • In-depth understanding of software development lifecycle (SDLC) and best practices - CI/CD, coding, debugging, optimization, testing, integration and deployment • PhD in CS/CE/EE, or equivalent, in industry experience

Benefits

• Competitive salary and benefits • Medical / dental / vision, Life and AD&D • Subsidized mental health benefits • Paid time off and holidays • Paid parental, medical, family care, and military leave of absence • 401(k) Cruise matching program • Fertility benefits • Dependent Care Flexible Spending Account • Flexible Spending Account & Health Saving Account • Perks Wallet program for benefits/perks • Pre-tax Commuter benefit plan for local employees • CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).