Waymo

Operations

• Manage recurring and one-off task delivery queues while building and maintaining Standard Operating Procedures
• Define and communicate priorities and resource allocation caps to vendor partners
• Hold partners accountable to SLAs, KPIs, budgets, and contractually committed operational improvements
• Lead short-term and contribute to long-term demand forecasting, capacity planning, and resource allocation
• Identify and execute tool/process improvements to boost efficiency and mitigate risks to timelines or deliverables
• Use technical judgment to drive project delivery, build consensus, and prepare retrospectives, process maps, and other reports for cross-functional stakeholders

Software Quality Operations, Vendor Delivery Lead

Research Scientist

• Participate in Waymo’s Foundation World Model post-training and evaluation
• Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning
• Integrate emerging research from the broader AI community into Waymo’s internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods
• Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how

Research Scientist, RL for Autonomous Planning – World Modeling

Account Manager

• Cultivate and maintain strong relationships with key airport stakeholders, industry associations, and regulatory bodies in the Western/Mountain Region.
• Act as a key spokesperson and representative for Waymo at industry conferences, events, and in discussions with external partners.
• Identify, prioritize, and pursue new airport partnership opportunities.
• Negotiate multi-faceted agreements with airport authorities and other key stakeholders to meet Waymo’s roadmap for testing and commercial operations.
• Partner closely with cross-functional teams including policy, product, engineering, finance, marketing, communications, strategy and legal to align on and achieve goals critical to Waymo’s success.

Strategic Partnerships Development Manager – Airports

Machine Learning Engineer

• Build and operate the petabyte-scale data systems and ML pipelines at the heart of Waymo's foundation model development
• Shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver
• Create the automated infrastructure for rigorously benchmarking, continuously monitoring, and safely releasing models
• Wield large-scale compute and frameworks like Flume and JAX to process massive datasets and train/deploy complex models
• Drive significant leaps in the speed, reliability, and efficiency of the end-to-end ML development lifecycle
• Partner with AI Foundations, ML, and Platform experts to transform model innovations into tangible on-road improvements

ML Engineer, Foundation Model Infrastructure

• Develop and extend cutting-edge research in robotics and machine learning to advance state-of-the-art methodologies for evaluating the quality, safety, and realism of embodied AI agents
• Partner within and across organizations to land disruptive and innovative tech in production
• Work with a variety of state-of-the-art Foundation Models
• Drive model development through defining evaluation and benchmarks
• Implement and extend large scale data and evaluation pipelines.

ML Engineer, Foundation Model Evaluation

Compliance

• Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance.
• Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs
• Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows.
• Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance.
• Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals
• Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features.

Software Quality Operations Specialist, Regulatory Reporting

Data Analyst

• Drive design and implementation of operational metrics, dashboards, and standardized cross-organizational reporting systems in coordination with internal and vendor analytics teams
• Lead demand forecasting, workforce and budget planning, and plan-to-actuals spend monitoring processes
• Establish foundational architecture and automated systems to enable vendor data analysts to build and maintain scalable operational reporting
• Oversee standardized business review frameworks and hold vendors accountable to SLAs, KPIs, and committed action plans
• Develop short and long-term project roadmaps, managing timelines, impact, and documentation for internal customers and vendor leadership
• Align with senior stakeholders on quarterly objectives, reporting on program metrics to continuously improve area effectiveness

Software Quality Operations, Vendor Data Analytics & KPI Lead

Procurement

• Develop and execute a comprehensive procurement strategy for Corporate IT, including SaaS, Hardware, and Telecom, balancing cost optimization with speed-to-market.
• Proactively manage a high-volume pipeline of software renewals; lead negotiations for mission-critical SaaS platforms to secure favorable long-term commercial and legal terms.
• Structure and negotiate complex Statements of Work (SOWs) for IT Professional Services and Systems Integrators to ensure successful software implementation and ROI.
• Optimization of Value-Added Reseller (VAR) relationships for end-user compute and peripherals, ensuring competitive pricing and seamless fulfillment logistics for a growing workforce.
• Act as the trusted advisor to the CIO, IT Ops, and Security leadership; lead "make vs. buy" analyses and influence technical requirements to drive commercial value.
• Partner with Legal (Privacy/Security) to ensure all software and hardware agreements meet Waymo’s rigorous data protection and cybersecurity standards.

Senior Category Manager, IT Procurement – Software, Hardware

Ops Specialist, Regulatory Reporting

• Partner with Engineering to design and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools.
• Use AI-powered insights and traditional triage signals to identify the latest on-road issue trends, new risk scenarios, and edge cases.
• Serve as the main link between AI/ML development and operational execution by defining and documenting new policies and Standard Operating Procedures (SOPs).
• Design and implement robust quality control processes for both human and AI-generated outputs.
• Act as the Subject Matter Expert for Software Quality Operations.
• Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals.
• Provide technical leadership and consultation to stakeholders to enhance workflows and quality by identifying and escalating tool issues.

Ops Specialist – Weather Expansion

• Identify and execute high-impact growth partnerships across demand channels and fleet operations to accelerate ridership and expand Waymo’s commercial footprint in current and future markets.
• Lead the end-to-end business development lifecycle - from initial sourcing to the negotiation of complex, foundational contracts that establish new industry precedents for autonomous vehicle services.
• Proactively manage a diverse portfolio of partnerships, implementing scalable solutions to maximize mutual value, enhance operational efficiency, and hit critical growth milestones.
• Act as a central bridge between internal Product, Marketing, Legal, and Finance teams to ensure complex partnership requirements are aligned with Waymo’s strategic goals and technical capabilities.
• Build and maintain trusted relationships with external partner stakeholders and executive leadership teams
• Utilize an analytical and entrepreneurial mindset to research and maintain a robust pipeline of opportunities, bridging the gap between early-stage "building" and large-scale real-world impact.