Senior Staff Machine Learning Engineer

AI Foundations

Posted on 6/5/2024



1,001-5,000 employees

Develops electric autonomous vehicles

Industrial & Manufacturing
Data & Analytics


San Francisco, CA, USA

  • 5+ years working on ML systems for training and deploying complex ML models
  • Experience working on the scaling challenges associated with building LLMs and/or other large foundational models
  • Passionate about self-driving technology
  • Attention to detail and a passion for truth
  • A track record of efficiently solving complex problems collaboratively on larger teams
  • Startup mentality
  • Strong expertise in writing production quality code
  • 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
  • PhD in CS/CE/EE, or equivalent, in industry experience
  • Be a strategic thought leader for AI Foundations
  • 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
  • Define execution processes for streamlined engineering development
  • Contribute broadly on the needs and strategy from data, to training, to deployment
  • Utilize deep understanding of data characteristics and model architectures for critical analysis
  • Propose ways to improve data quality for model training and evaluation
  • Follow industry and academic developments in AI life-cycle and ML Systems domain
  • Own technical projects from start to finish
  • Conduct technical interviews and mentor junior engineers
  • Work collaboratively with partner teams and orgs to achieve goals

Cruise is developing all-electric and emission-free self-driving vehicles, prioritizing safety and accessibility through testing in urban environments and integrated manufacturing at scale. Their technology approach involves advanced autonomous systems and electric vehicle technology.

Company Stage

Series A

Total Funding



San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Flexible vacation

Paid holidays

Paid parental leave

Fertility & family expansion benefits

401k matching program

Monthly social events

Community volunteering programs

Healthy meals & snacks for onsite employees

Quarterly offsites & working retreats

Monthly wellness stipend

Mental health support

Professional development programs

On-site gym in SF HQ

Commuter benefits for onsite employees

Medical, dental & vision coverage