À propos
In this role, you will
Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows
Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection
Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference-based data collection and evaluation system.
Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback
Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles.
Drive technical direction, and provide technical inputs and guidance to the team.
Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives.
Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.
At a minimum we would like you to have:
B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience
Strong coding experience in C++ and/or Python.
Experience in at least one of: Foundational Models, VLM, Deep Learning
5+ years of experience with hands-on experience in machine learning projects
Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale
It's preferred if you have:
M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning.
Deep learning experience with Transformers
Gen AI LLM/VLM experience
Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.
Large-scale data processing and analytical skills.
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 $238,000—$302,000 USD
Compétences linguistiques
- English
Avis aux utilisateurs
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