Waymo

Waymo is an autonomous driving technology company building the Waymo Driver and operating Waymo One, its fully autonomous ride-hailing service.

Autonomous vehicles, robotics, AI, ride-hailing / mobility tech
Founded 2009
$21600M raised

Description

  • Lead development of deep learning and machine learning models to improve human-led triaging and automate high-volume workflows.
  • Design and build GenAI LLM and VLM solutions for self-driving behavior analysis and anomaly detection.
  • Develop reinforcement learning systems based on human preference data for collection and evaluation workflows.
  • Enhance user feedback analysis tools for multi-label classification, sentiment analysis, comment summarization, root cause analysis, and trend analysis.
  • Oversee production and optimization of machine learning models used to assess Waymo’s fleet at scale.
  • Drive technical direction and provide technical input and guidance to the team.
  • Work with PMs and TPMs to define product requirements and align technical work with business objectives.
  • Collaborate with Prediction, Planning, Research, technical leads, and senior leadership across Waymo on strategic efforts.
  • Build and operate scalable machine learning and data systems, simulation workflow tools, and insight tools to improve evaluation and onboarding experiences.

Requirements

  • B.S. in Computer Science, Robotics, Machine Learning, a similar technical field, or equivalent practical experience.
  • Strong coding experience in C++ and/or Python.
  • Experience in at least one of the following: foundational models, VLMs, or deep learning.
  • 5+ years of hands-on experience with machine learning projects.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Experience deploying deep learning models at scale.
  • Preferred: M.S. or Ph.D. in Computer Science or a related quantitative field with a specialization in machine learning.
  • Preferred: Deep learning experience with Transformers.
  • Preferred: GenAI LLM/VLM experience.
  • Preferred: Experience building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.
  • Preferred: Large-scale data processing and analytical skills.

Benefits

  • Base salary range of $238,000 to $302,000 USD.
  • Eligibility for Waymo’s discretionary annual bonus program.
  • Eligibility for Waymo’s equity incentive plan.
  • Access to Waymo’s generous Company benefits program, subject to eligibility requirements.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Senior ML Engineer with Python (IR-536)

Intellectsoft 251-1K Internet Software & Services

An AI-focused engineering role for our customer’s platform, building backend and machine learning systems that turn large-scale data into actionable insights and operational automation.

Agile AWS Azure Celery CI/CD Computer Vision Docker FastAPI Feature Engineering GCP Generative AI Git GitHub Actions Hugging Face Kubernetes LLM Machine Learning Microservices MLflow MLOps NLP OpenAPI Python Scrum SQL SQLAlchemy
15 minutes ago

Senior Python Backend Developer / ML Engineer (IR-535)

Intellectsoft 251-1K Internet Software & Services

Our customer is hiring a Python-focused ML/LLM engineer to build and operate scalable backend and machine learning systems for an AI analytics platform used across industries, including healthcare.

Agile AWS Azure Celery CI/CD Computer Vision Deep Learning Docker FastAPI GCP Generative AI Git GitHub Actions Hugging Face Kubernetes Machine Learning Microservices MLflow NLP OpenAPI Python Scrum SQL SQLAlchemy
30 minutes ago

Deep Learning Compiler Engineer

Quadric, Inc. 51-200 Semiconductor IP licensing

Quadric is hiring a senior platform software engineer to optimize neural network lowering and execution on its GPNPU architecture for edge and automotive inference workloads.

C++ Computer Vision Deep Learning Machine Learning
30 minutes ago

Staff Machine Learning Engineer

OKX 1K-5K Diversified Financial Services

OKX is hiring a machine learning engineer to build and productionize AI-driven risk systems for a global crypto exchange, focusing on fraud detection, investigation workflows, and decision support.

Cybersecurity Feature Engineering LightGBM Python PyTorch Scikit-learn TensorFlow XGBoost
30 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers