Senior ML Engineer, LLM / VLM Distillation
$213k - $263kWaymo
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
This role follows a hybrid work schedule and you will report to a Research Director of AI Foundations.
You will:
- Work on distillation from large foundation models to smaller real-time models.
- Explore LLM/VLM distillation recipes to maximally transfer the quality gains from teachers.
- Customize distillation data and recipe for business-critical Semantics tasks
You have:
- Experience in building large-scale deep learning systems.
- Experience in VLM/LLM models.
We prefer:
- Experience in training or deploying multi-modal LLMs.
- Distillation related experience.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$213,000 - $263,000 USD
$204k - $259k
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...are looking for a hands-on Machine Learning Engineer to drive the post-training of our large... ...code. Requirements Hands-on LLM post-training experience. You have personally... ...scripts. Strong data engineering for ML. You can independently design data-preparation...Full timeLocal areaWork from home- ...infrastructure to support the deployment and operation of AI agents at scale. Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions. Diagnose and troubleshoot issues in complex distributed environments and...SeniorFull timeWork experience placement
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