Foundation Models Team Lead

Neura Market

Mountain View (CA)

Hybrid

USD 298,000 - 368,000

Full time

14 days+

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Benefits offered by this job

Health, dental, vision, life, disable
401(k) with company match
Paid Time Off: 20 days
Sick Time: 40 hours/year
Maternity Leave: 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days

Job summary

Waymo is seeking a leader for the AI Foundations team to guide the development of large-scale foundation models powering the Waymo Driver and related applications. You will set technical direction, drive execution, and foster collaboration with cross-functional teams across Waymo, including simulation, planner, semantics, and ML infrastructure.

The role requires extensive experience in deep learning research or applied research, with a focus on LLMs, VLMs, or world models, and a proven ability

Qualifications

  • 2+ years of experience managing medium-size teams.
  • Track record in developing team culture and growing people.
  • 6+ years experience in deep learning research or applied research.
  • Technical experience working with LLMs / VLMs or world models.

Responsibilities

  • Lead and manage a team to build large-scale foundation models for the Waymo Driver.
  • Set the technical direction for the team and align efforts with strategies.
  • Collaborate with cross-functional teams across Waymo including simulation, planner, semantics, and ML infrastructure.
  • Establish an inclusive culture that enables research innovations and delivers impactful results.

Skills

Team management
Deep learning research
LLMs / VLMs
Foundation models
Productionizing DL models

Job description

Waymo is seeking a leader for the AI Foundations team to guide the development of large-scale foundation models powering the Waymo Driver and related applications. You will set technical direction, drive execution, and foster collaboration with cross-functional teams across Waymo, including simulation, planner, semantics, and ML infrastructure.

The role requires extensive experience in deep learning research or applied research, with a focus on LLMs, VLMs, or world models, and a proven ability

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