Remote Senior Staff Machine Learning Engineer

Summary

Join Cruise, a self-driving service designed for the cities we love. We're building the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about.

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

Responsibilities

• 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

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