Search the 72 jobs at Waymo

As a Senior Machine Learning Software Engineer at Waymo, you will develop and improve machine learning models to assess autonomous vehicles' behavior, enhance ML infrastructure, and collaborate across teams to implement state-of-the-art technologies in production systems.

The ML Engineer will lead efforts in optimizing Waymo's perception foundation model, focusing on model-platform co-optimization for training and inference across multiple platforms, collaborating with various teams, and driving model efficiency improvements.

You will analyze workloads, design machine learning solutions for autonomous driving, simulate performance and architect high-performance computing architectures while collaborating with various engineering teams.

The MBA Operations Intern will support the Waymo Operations team through strategic planning, process improvement, and data analysis. Responsibilities include leading projects on operational strategy, implementing process improvements for cost savings, analyzing data sets, and preparing presentations and reports.

As the Director of Engineering for Machine Learning at Waymo, you will manage multiple teams of machine learning engineers, push the boundaries of deep learning technology, and lead technical vision in solving complex robotics challenges while fostering collaborative relationships across the company.

As a Staff Machine Learning Engineer at Waymo, you will develop ultra-realistic simulations for autonomous vehicles using foundation models, design experiments, and integrate large models into the simulator. The role involves collaboration with teams in different locations to enhance the realism of simulations, train and evaluate models, and contribute to hiring other engineers.

As a Staff Machine Learning Compiler Engineer, you will analyze compiler performance, architect and implement compiler support for neural network inference, and collaborate to optimize hardware/software for performance improvements.

As a Machine Learning Compiler Engineer at Waymo, you will enhance the performance of neural networks through compiler development, collaborate with hardware architects and model developers, and implement support for novel features of high-performance architectures.

You will analyze performance characteristics of code generated by the compiler, design optimizations, implement compiler support for novel features, and collaborate with hardware architects. Additionally, you will work with model developers to enhance neural network inference efficiency.

As a Backend Software Engineer, you will build and enhance critical commercialization systems and tools, collaborating with cross-functional teams to address real-world challenges such as demand planning and fleet optimization.

As a Backend Technical Lead Manager at Waymo, you'll help develop critical tools and systems for ride-hailing and fleet management. Your role will involve collaboration with product and engineering teams to solve complex real-world challenges, such as demand planning and fleet optimization, while navigating uncertainties.

As a Senior Machine Learning Engineer, you will develop infrastructure components for distributed training, implement automation solutions for monitoring and scaling, diagnose system health issues, identify performance bottlenecks, and enhance developer experience within Waymo's scalable ML framework.

In this role, you will develop and maintain infrastructure for reliable data generation for Perception foundation models. Responsibilities include building data pipelines, collaborating with teams to integrate data into model training, and ensuring data quality and availability.

As a Staff ML Software Engineer in Simulation at Waymo, you will develop methods to measure simulator realism, design systems for efficiency, and collaborate with engineering teams to enhance simulator technology for the Waymo Driver. This role involves both metrics development and scalability of simulator systems.

As a Software Engineer in Computer Vision/Deep Learning at Waymo, you will apply machine learning techniques to develop sensor fusion architectures for autonomous vehicles, design large-scale models, and create data processing pipelines. You'll collaborate with research teams to enhance the Waymo Driver's perception capabilities using extensive driving data.

As a Software Engineer at Waymo, you will develop and deploy deep learning models, including LLMs and VLMs. Your responsibilities include creating data pipelines, collaborating with research teams, and leveraging extensive driving data to build advanced perception systems for autonomous vehicles.

As a Senior Data Scientist at Waymo, you will develop and analyze evaluation frameworks for autonomous vehicle performance, employing advanced statistical methods and machine learning models. Your role includes mentoring junior data scientists and solving complex, ambiguous problems while interpreting and investigating data trends.

Interns will work on building foundation models using driving data, focusing on model training, fine-tuning, and leveraging models for various tasks. Collaboration with software engineers and product managers is essential.

As a Business Intelligence Data Engineer at Waymo, you'll build and maintain reporting infrastructure, create data pipelines, and work with various stakeholders to enable accurate reporting. Your responsibilities include enriching data sets and maintaining financial systems to facilitate decision making.

As an Application Engineer at Waymo, you will design, develop, and maintain integration processes between cloud and on-premise applications. You'll lead multiple systems development projects, work with stakeholders to gather requirements, and uphold high development standards. Your role involves writing clean code and creating implementations that enhance business value. An extensive background in complex integration projects and programming is essential for success in this position.