Gm Cruise - San Francisco, CA

posted 2 months ago

Full-time - Senior
San Francisco, CA
Transportation Equipment Manufacturing

About the position

The ML Data Shop team at Cruise is at the forefront of developing a robust platform for data search, mining, labeling, and dataset generation. This platform is crucial for managing the petabyte-scale data that is essential for enhancing the performance of our autonomous vehicle (AV) stack. As a Senior Engineering Manager, you will play a pivotal role in leading the labeling team to deliver a high-quality labeling platform that meets the demands of our customers efficiently and cost-effectively. Your leadership will be instrumental in ensuring that the labeling process is not only timely but also maintains the highest standards of quality. In this role, you will engage directly with labeling customers to gain a deep understanding of their needs. You will be responsible for translating these needs into actionable goals and plans, driving the execution of these initiatives. Your ability to communicate both short-term and long-term visions will be key to aligning the team’s efforts with the broader objectives of Cruise. You will also be tasked with hiring and supporting a world-class team of engineers and managers, fostering a collaborative culture that prioritizes quality and safety across all teams at Cruise. As a leader, you will leverage cutting-edge deep learning techniques to tackle complex, large-scale real-world robotics challenges. You will embody the core values of Cruise, which include safety, ownership, focus, truth-seeking, collaboration, and humility. This position not only requires technical expertise but also a strategic mindset and a passion for self-driving technology and its transformative potential in the world.

Responsibilities

  • Work with labeling customers to understand their needs
  • Drive and communicate both long and short term visions from those needs
  • Translate the visions into goals, plans and drive execution
  • Hire and support other world class managers and engineers
  • Leverage state of the art in deep learning to solve challenging large scale real world robotics problems
  • Work with teams across Cruise to foster a collaborative culture of quality and safety
  • Embody Cruise values and behaviors: Stay Safe, Own It, Stay Focused, Seek Truth, Work Together, Be Humble

Requirements

  • 6+ years experience supporting and growing high performance teams
  • Expertise in large scale data labeling, auto labeling or related machine learning spaces
  • Expertise in building and maintaining ML pipelines at scale
  • Startup mentality - openness to dealing with unknown unknowns, wearing many hats, and making effective prioritization decisions
  • Passionate about self-driving technology and its potential impact on the world
  • Strategic, collaborative and execution-focused

Nice-to-haves

  • Built infrastructure to train and/or leverage VLM and LLM
  • Built complex UI maximizing user efficiency
  • Applied active learning techniques for production systems
  • MS or PhD in Computer Vision, Natural Language, Machine Learning or a related field

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
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