Lead cross-functional efforts to perform safety analyses, identify hazards, and define safety requirements for autonomous driving software. Provide leadership in implementing system safety processes and ensuring compliance with industry standards and regulations.
Waymo
44 Remote Job Openings at Waymo
Senior Machine Learning Engineer (Infra), Driver Understanding and Evaluation
Waymo
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Full Time
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4 days ago
Waymo
Build and operate scalable machine learning systems and simulation workflows to evaluate autonomous driving behaviors. Design large distributed systems covering the ML lifecycle, from planet-scale dataset generation to model training and evaluation.
Build and maintain efficient sensor simulators to evaluate the safety of autonomous driving models. Manage the rendering engine and the pipeline that allows internal customers to run simulations at scale.
Analyze and optimize generative model architectures to identify bottlenecks in training and inference performance. Design high-throughput serving solutions and implement model compression techniques to improve scalability and efficiency.
Lead the architectural design and development of Agentic AI components and scalable workflows to automate event triage for the Waymo Driver. Collaborate with cross-functional teams to integrate autonomous agents into the evaluation lifecycle and drive the technical roadmap.
Represent operations in cross-functional planning processes to optimize regional commercial plans and operational capacity. Conduct rigorous scenario planning and distill complex operational data into executive-level narratives for business reviews.
Team Lead, Global Enterprise Outsourcing Services Category Manager
Waymo
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Full Time
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18 days ago
Waymo
Lead the Enterprise Outsourcing & Services vertical to design and scale Waymo's global external workforce architecture across Engineering, Operations, and Corporate functions. Manage a $100M+ portfolio, cultivating strategic supplier alliances and implementing outcome-based commercial models.
Lead technical efforts and define roadmaps while collaborating across cross-functional teams including PM, UX, and legal. Manage people and drive the completion of complex engineering efforts for autonomous driving technology.
Senior Staff Machine Learning Engineer, LLM/VLM Model Architecture & Optimization
Waymo
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Full Time
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21 days ago
Waymo
Design and optimize VLM/LLM model architectures to align with hardware constraints for on-device use cases. Collaborate with research, software, and hardware teams to deliver end-to-end perception solutions for autonomous driving.
The specialist bridges the gap between simulation software and real-world execution to ensure the safety and quality of the Waymo Driver. Key duties include developing simulation tools, driving rapid-response testing for field issues, and defining operational policies for AI/ML workflows.
The specialist bridges the gap between simulation software and real-world execution to ensure the safety and quality of the Waymo Driver. Key duties include optimizing simulation tools, driving rapid-response testing for field issues, and developing operational policies for AI/ML workflows.
Staff Software Engineer/ Tech Lead - Onboard Model Consolidation
Waymo
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Full Time
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a month ago
Waymo
Lead the software architecture and infrastructure for onboard model consolidation across various subsystems in autonomous driving. Design frameworks for efficient model integration and inference while aligning data generation between training and production.
Lead root-cause investigations into map quality issues and serve as a technical bridge between Engineering, Product, and Operations. Manage multiple concurrent initiatives to improve high-definition maps and ensure scalable deployment across markets.
Design, develop, and maintain C++ software systems and infrastructure to support real-world event and incident response. Collaborate with Product and UX teams to build mission-critical tools that allow the service to scale into new markets.
Lead the design and deployment of evaluation approaches to assess the realism of multimodal world models and generative systems. Architect scalable machine learning pipelines and discriminator models to improve simulator realism for autonomous driving.
Own the C++ server infrastructure and concurrent data streaming pipelines for the Webviz platform. Design abstractions to process fleet logs and build APIs for automated evaluation pipelines to analyze driving data.
Lead the Enterprise Outsourcing & Services vertical to define the future of work by leveraging global external ecosystems for engineering and hardware scaling. Develop procurement strategies for R&D hardware and engineering services while managing complex contracts and vendor relationships.
Design and implement algorithms to solve complex real-world problems at the intersection of computer science and fleet management. Build and operate mission-critical infrastructure while collaborating with cross-functional teams including product, operations, and legal.
Design and optimize large-scale continual pre-training pipelines for VLM foundation models. Conduct research on integrating multimodal data streams and develop metrics to evaluate model performance in autonomous driving contexts.
The role focuses on software quality operations to support the development of the Waymo Driver. It involves ensuring the reliability and safety of autonomous driving technology across various platforms.
Lead end-to-end procurement and category strategy for Marketing, Communications, PR, and Public Affairs. Design agency architecture and negotiate complex commercial models to scale the brand globally while minimizing business risk.
Partner with Engineering to deploy ML and Gen-AI tools for issue discovery and quality assurance of the Waymo Driver. Define technical policies and SOPs to integrate AI insights into vendor workflows and operational execution.
Partner with Engineering to deploy ML and Gen-AI tools for issue discovery and quality assurance of the Waymo Driver. Define technical policies and SOPs to integrate AI insights into vendor workflows and operational execution.
Design and build a comprehensive training suite and systems to prepare Fleet Response Operators for assisting autonomous vehicles. Collaborate with operations leads to translate evolving training needs into realistic simulation environments.
Partner with Engineering to deploy ML and Gen-AI tools for issue discovery and quality assurance in autonomous driving. Define technical policies and SOPs to integrate AI insights into vendor workflows and operational execution.
Engineer scalable solutions to resolve in-field behavioral issues related to service quality and safety in high-stakes environments. Triage active production issues and deploy features across onboard and offboard stacks to mitigate risks.
Lead the development of scalable AI/ML infrastructure for multi-billion parameter foundation models used in autonomous vehicle simulations. Collaborate with global teams to improve simulation realism and mentor junior engineers on architectural decisions.
Develop importance sampling techniques and machine learning models to maximize the statistical efficiency of discovery pipelines for rare autonomous driving events. Collaborate with cross-functional teams to deliver evaluation products and maintain high code health standards in a complex codebase.
Implement and scale the core economic engine for Waymo's ride-hailing services. Develop novel experimentation, simulation, and analysis infrastructure to support Marketplace product data science.
Lead the ML Evaluation team to define the strategic vision for evaluation platforms and infrastructure. Manage and mentor engineers while collaborating cross-functionally to validate next-generation deep neural networks.
Develop evaluation frameworks and metrics to ensure the safety and quality of autonomous vehicle performance and simulation. Collaborate with engineering and product teams to solve ambiguous data problems and facilitate deployment readiness.
Develop evaluation frameworks and metrics to ensure the safety and quality of autonomous vehicle performance and simulation. Collaborate with engineering teams to solve ambiguous problems and communicate data-driven conclusions to senior stakeholders.
Build and evolve mission-critical tools and systems for fleet orchestration and optimization. Collaborate with cross-functional teams to solve real-world problems like field escalation handling and workshop management.
Design and optimize Angular applications to build mission-critical tools for Waymo's Fleet Monitoring systems. Collaborate with Product and UX teams to develop internal user-facing products and scalable platform functionalities.
Staff Machine Learning Engineer, Driver Understanding and Evaluation
Waymo
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Full Time
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2 months ago
Waymo
Lead the development of cutting-edge deep learning and Gen AI models to analyze autonomous vehicle behavior and automate high-volume workflows. Collaborate with cross-functional teams to define technical strategy and optimize ML models for fleet-wide evaluation.
Implement and scale Waymo's core trip platform to support ride-hailing and delivery use cases for internal and B2B partners. Design partner-facing API services to manage trip requests, calculate ride times, and determine pricing.
Design and maintain highly scalable core services that enable users to hail and control autonomous vehicles. Collaborate with cross-functional teams to architect APIs and ensure high reliability and low latency for critical infrastructure.
Implement and scale Waymo's core dynamic pricing engine using ML models and optimization algorithms to balance supply and demand. Build infrastructure for pricing experimentation and monitoring to maximize fleet profitability and service competitiveness.
Implement and scale the core economic engine for ride-hailing services, focusing on pricing, matching, and positioning. Develop infrastructure for automatically training and deploying sophisticated ML and optimization models.
Develop key Android UX flows and features to drive rider acquisition, engagement, and retention for the Growth team. Collaborate with cross-functional partners to create personalized discovery experiences and loyalty ecosystems.
The role involves partnering with engineering teams to design and deploy machine learning models for issue detection and quality assurance. Additionally, it includes developing data-driven strategies and ensuring the integration of AI tools into operational workflows.
Lead cross-functional efforts to perform safety analyses and identify potential hazards and their causes. Provide leadership in defining, implementing, and improving relevant System Safety processes while promoting safety culture inside Waymo.
You will partner with Engineering to design, test, and deploy cutting-edge Machine Learning and Generative AI models to improve issue discovery and quality assurance. Additionally, you will serve as the key link between AI/ML development and operational execution, defining new policies and quality control processes.
Design, develop, test, and optimize Angular applications while building mission-critical tools for scaling Waymo's services. Collaborate with various teams to address real-world problems related to Fleet Monitoring and platform functionalities.