Director of AI Foundations, Model Evaluation & Integration

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed itself to advancing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. Our technology powers a fully autonomous ride-hail service and can be integrated into various vehicle platforms and product applications. With over ten million successful rides and extensive experience driving autonomously for over 100 million miles on public roads, Waymo is actively shaping the future of transportation across 15+ U.S. states.The Waymo AI Foundations team is dedicated to pioneering machine learning solutions that tackle critical challenges in autonomous driving, aiming to ensure the safe operation of Waymo vehicles in diverse urban settings and under varying conditions. We are committed to fostering collaborations with other research teams within Alphabet. Current focus areas include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust model evaluation.This position operates on a hybrid work schedule and reports directly to the Vice President of AI Foundations.

Intrinsic Robotics, part of Google's AI robotics division, is dedicated to advancing industrial robotics by combining artificial intelligence, perception, and simulation. The team’s mission is to make intelligent robotics more accessible and practical for businesses, entrepreneurs, and developers. Interns at Intrinsic Robotics work alongside engineers, roboticists, designers, and technologists in a collaborative environment. Projects here directly influence real-world robotics applications and contribute to new economic opportunities in the field. Role overview The Vision Foundation Model Research Intern will focus on designing, training, and evaluating vision foundation models for industrial robotics. Responsibilities include deploying these solutions with industry partners and aiming for high model performance in real-world scenarios. What you will do Contribute to robotics software development, including projects on the Flowstate platform. Work closely with experienced professionals and follow modern software development practices. Research and implement deep learning models in Python, using PyTorch or Jax. See the results of your work applied with customers in the industrial robotics sector. Requirements Current enrollment in a Master's program in Computer Science or a related discipline (PhD candidates are preferred). Strong programming skills in Python and practical experience with PyTorch or Jax. Knowledge of training foundation models across multiple nodes. Interest or background in end-to-end robotics applications or integrating robotic hardware in industrial settings. Ability to troubleshoot, launch, and debug training and inference workflows. Clear verbal and written communication abilities. Location This internship takes place in Mountain View, California.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access while aiming to reduce the tragic loss of lives due to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hailing service but is also adaptable across various vehicle platforms and applications. With over ten million trips solely for riders and extensive experience from autonomously navigating over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, we are leading the charge in this transformative technology.The Large Model Evaluation team plays a pivotal role in advancing Waymo's AI vision. As we integrate cutting-edge Large Language Models (LLMs) and Vision-Language Models (VLMs), our aim is to construct sophisticated AI systems capable of addressing the multifaceted challenges of real-world driving. Central to our achievements is the ability to accurately measure our progress. In a landscape where robust evaluation serves as a critical barrier to deploying large models, the intricacies of this task at Waymo are particularly complex and safety-sensitive. We seek quantitatively driven engineers to innovate and propose novel methodologies for evaluating the ML models utilized in the Waymo Driver.

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo focuses on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience from driving more than 100 million miles on public roads, complemented by simulations totaling tens of billions of miles across over 15 U.S. states, we are at the forefront of our industry.The Large Model Evaluation team plays a crucial role in advancing Waymo's AI ambition. As we leverage advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), our goal is to create cutting-edge AI systems that navigate the complexities of real-world driving scenarios. Our progress hinges on our ability to measure performance effectively. With robust evaluation being essential for deploying large models, the challenges we face are particularly intricate and safety-critical. We are seeking engineers with a quantitative mindset to explore and establish innovative methods for assessing the machine learning models utilized in the Waymo Driver.

Waymo, the leader in autonomous driving technology, aims to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. With over ten million rider-only trips facilitated by our technology, which has autonomously navigated more than 100 million miles on public roads and countless simulations across more than 15 U.S. states, we are at the forefront of autonomous transportation.The Waymo Applied Research team is devoted to crafting machine learning solutions that tackle key challenges in autonomous driving, focusing on safely operating Waymo vehicles across diverse cities and under varying driving conditions. We thrive on collaboration, fostering partnerships with other research teams within Alphabet to push the boundaries of innovation.In this hybrid role, you will report to a Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, striving to be the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives that are lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience gained from autonomously driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 states, we are leading the way in transforming transportation.The Waymo Applied Research team is committed to pioneering machine learning solutions that tackle significant challenges in autonomous driving, with the ultimate aim of safely operating Waymo vehicles across numerous cities and diverse driving conditions. Our team actively initiates and nurtures collaborations with other research teams within Alphabet to drive innovation.In this hybrid role, you will report directly to a Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, striving to become the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless lives lost to traffic accidents. Our cutting-edge Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be implemented across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has accumulated experience from autonomously driving over 100 million miles on public roads and tens of billions of miles in simulations across more than 15 U.S. states.The Large Model Evaluation team is pivotal to Waymo's AI mission. As advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs) continue, we are constructing state-of-the-art AI systems capable of addressing the full spectrum of real-world driving complexities. Central to our success is our capacity to measure progress effectively. Robust evaluation is crucial for deploying any large model, and at Waymo, the challenge is particularly intricate and safety-critical. We seek quantitatively-minded engineers to innovate and propose new methods for assessing the machine learning models integrated into the Waymo Driver.

About NuroNuro is a pioneering self-driving technology company dedicated to making autonomy accessible to everyone. Established in 2016, we are developing the most scalable autonomous vehicle system, integrating advanced AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to facilitate a diverse array of applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven self-driving deployments, our technology provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, fostering a safer, more connected future.Position OverviewWe are seeking an experienced engineering leader to assume the role of Director for our Evaluation Platform team. This critical platform supports the simulation, evaluation, and validation processes that are essential for the development of autonomous technologies and ensuring readiness for driverless deployment.The successful candidate will establish the technical vision, execution strategy, and organizational framework for a multidisciplinary team focused on simulation, evaluation infrastructure, and software-driven operational workflows.The evaluation platform integrates data, simulation, metrics, and analysis workflows, empowering teams to:Rapidly iterate to enhance autonomy performanceAssess autonomy performance and risk with credibility and rigorMake informed, data-driven decisions regarding driverless deploymentKey ResponsibilitiesDevelop and oversee the technical vision and roadmap for the Evaluation Platform, encompassing simulation, evaluation infrastructure, and software quality operations.Lead, mentor, and nurture a multi-team organization (including managers and senior individual contributors), promoting a culture of technical excellence, ownership, and continuous improvement.Build and scale simulation and evaluation capabilities that cater to both rapid autonomy iteration and rigorous validation scenarios.Take ownership of the autonomy evaluation and validation platform, collaborating closely with Autonomy and Systems leadership to ensure reliability, scalability, and trust from engineering and validation teams.Represent the Evaluation Platform at the executive level, effectively communicating tradeoffs, progress, risks, and readiness.

Gen-digital is looking for a Senior Director, Integrated Marketing & Campaigns based in Mountain View, CA. This leadership role shapes the company’s marketing strategy and drives the execution of campaigns across multiple channels. Role overview This position oversees the planning and delivery of integrated marketing campaigns designed to promote the gen-digital brand and connect with key audiences. The Senior Director will guide teams to ensure campaigns are coordinated, on-message, and aligned with business goals. What you will do Lead the development and execution of multi-channel marketing campaigns Promote the brand and increase audience engagement Oversee campaign planning, ensuring alignment with overall marketing strategy Direct teams to deliver effective, coordinated marketing initiatives Requirements Proven leadership experience in marketing Strong understanding of digital marketing trends and strategies Experience managing campaigns in a fast-moving environment

At Logos Space, we are revolutionizing satellite communication with our Low Earth Orbit (LEO) satellite systems, meticulously designed to cater to the connectivity requirements of both commercial enterprises and government entities. Our mission is to bridge a significant gap in the market by offering robust, high-performance satellite-based connectivity solutions worldwide. With a focus on speed and reliability, our satellite systems will facilitate seamless cloud and data center network connectivity across fixed, maritime, and aerial terminals.Led by a team of seasoned engineers with extensive expertise in the networking and satellite sectors, Logos Space is poised to redefine connectivity.Position Overview & ResponsibilitiesAs the Director of Integration and Test Engineering, you will play a pivotal role in shaping and executing the integration and systems test functions for the entirety of Logos' payload, terminal, and ground systems. This position requires you to define and streamline these functions within the context of Logos, appropriately sizing the team to ensure production readiness for our system design. You will act as the final gatekeeper for designs before they enter production, setting up processes and methodologies to foster continuous improvement through the ongoing integration and testing of new capabilities. You will have direct visibility up to the CEO.We are looking for dynamic leaders who thrive in fast-paced environments and excel at transforming abstract ideas into actionable plans for the integration and systems test teams. If you are passionate about solving complex challenges, we want to hear from you!Key Responsibilities Include:Overseeing the overall System Integration and System Testing of the Logos Space systems.Ensuring production quality and readiness from both functional and performance perspectives.Building and scaling the System Integration and Test teams in alignment with our ambitious startup goals.Managing integration and system testing timelines through all design and development phases.Conceptualizing and planning all necessary laboratories to support scaling and testing initiatives.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission centers on the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access while significantly reducing traffic-related fatalities. The Waymo Driver currently underpins our fully autonomous ride-hailing service and is versatile enough to be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and executed tens of billions of miles in simulation across over 15 states in the U.S.The Waymo AI Foundations team is committed to advancing machine learning solutions that address the challenges of autonomous driving, enabling the safe operation of Waymo vehicles in numerous cities and under diverse driving conditions. We actively pursue collaborations with other research teams within Alphabet. Our current focus areas encompass reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.In this hybrid role, you will report directly to a Principal Scientist.

Waymo is an innovative leader in autonomous driving technology, dedicated to transforming mobility and enhancing safety on the roads. Originating from the Google Self-Driving Car Project in 2009, our mission is to develop the Waymo Driver—The World’s Most Experienced Driver™—to significantly reduce traffic-related fatalities and improve accessibility to transportation. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. To date, we have successfully completed over ten million trips and have driven autonomously for more than 100 million miles on public roads along with extensive simulation miles.The Waymo AI Foundations team is at the forefront of advancing machine learning solutions to tackle critical challenges in autonomous driving. Our objective is to ensure the safe operation of Waymo vehicles in diverse urban environments and under varying driving conditions. We actively collaborate with other research teams within Alphabet to drive innovation in areas such as reinforcement learning, generative modeling, and robust evaluation.This position offers a hybrid work schedule, and you will report directly to a Senior Staff Software Engineer.

Join CommerceIQ as the Director of Product Management for AI, where you will lead innovative product strategies that leverage artificial intelligence to enhance e-commerce capabilities. This pivotal role requires a visionary leader who can drive product development, collaborate with cross-functional teams, and deliver exceptional value to our customers.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while significantly reducing traffic-related fatalities. With over ten million rider-only trips powered by the Waymo Driver, we have accumulated extensive experience, having driven more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Waymo AI Foundations team is dedicated to creating machine learning solutions that tackle complex challenges in autonomous driving. Our goal is to ensure the safe operation of Waymo vehicles in various cities and under diverse driving conditions. We actively collaborate with other research teams within Alphabet, focusing on areas such as reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.This position follows a hybrid work schedule and reports directly to a Staff Research Scientist / Tech Lead Manager.

OverviewAt DeepMind, we believe that Artificial Intelligence is one of the most transformative inventions of our time. Our diverse team—comprising scientists, engineers, and machine learning specialists—works collaboratively to push the boundaries of AI technology for the greater good. We are committed to ensuring that our advancements prioritize safety and ethics while making significant contributions to scientific discovery and public welfare.Your RoleAs a Technical Program Manager, you will spearhead vital initiatives across our Modeling, Data, Evaluations, and User Signals domains within the Antigravity team. This pivotal position involves overseeing the complete lifecycle of data contributions, model development, evaluation processes, and user feedback mechanisms. You will collaborate closely with research teams, manage tailored model pipelines, analyze user signals from diverse sources, and coordinate vendor-based testing.Key Responsibilities:Owner of Antigravity Data Flywheel: Lead the strategic roadmap for data, evaluations, and modeling enhancements. Collaborate with research teams to manage evaluation processes for both new and existing models while facilitating effective communication and coordination between modeling and research teams.Model Deployments: Oversee the approval processes for model development, working in tandem with research, engineering, and cross-functional stakeholders to ensure successful model launches.User Signals Program: Develop and optimize systems for gathering, triaging, and analyzing user feedback, both internal and external, to address critical issues. Partner with vendors for product testing and relay key insights to engineering and product teams.Enhancing Team Productivity: Manage compute resources essential for modeling efforts and support team infrastructure needs. Serve as a primary contact for resolving technical challenges faced by the team.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to a diverse array of vehicle platforms and applications. With over ten million rider-only trips and experience from more than 100 million miles driven autonomously on public roads, Waymo is shaping the future of transportation.Our simulation environment is among the most sophisticated ever created, utilizing deterministic logic, physical dynamics, and cutting-edge Generative AI to establish a training ground for the Waymo Driver. The Simulator Evaluation team tackles the challenging question: How can we mathematically validate that a virtual world is perceptibly 'real'?We are on the lookout for a Staff Software Engineer who will take on the role of Technical Architect in this field. You will operate at the intersection of software engineering and AI, ensuring our simulated environments—whether governed by explicit rules or foundational models—accurately reflect reality.In this Staff-level position, you will report directly to a Senior Staff Software Engineering Manager and function as a Technical Lead, connecting intricate technical metrics with overarching product strategies.Your Responsibilities Will Include:Architecting Evaluation Standards: Define the 'Definition of Done' for simulation realism, anticipating product objectives (e.g., operational capabilities in snow or highway driving) and designing the evaluation roadmap to ensure our simulation fidelity evolves in alignment with onboard requirements.Acting as the System Critic: Create comprehensive mathematical frameworks to validate our hybrid virtual world, determining the balance between diverse evaluation needs—from verifying logical rules and dynamics to assessing the distribution quality of generative AI models.Building at Scale: Lead the development of large-scale, extensible evaluation platforms (in C++/Python), ensuring our metric pipelines are robust distributed systems capable of delivering clear, reproducible insights on petabytes of data.Providing Strategic, Cross-Functional Leadership: Serve as the technical liaison across various organizations, closely collaborating with AI research and other simulation teams. The evaluation workflows you design will facilitate rapid innovation and inform research trajectories.

About CommerceIQ CommerceIQ builds AI-driven solutions that help brands improve their digital commerce performance. The platform supports over 2,200 brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez, across more than 900 retailers in 50+ countries. CommerceIQ’s tools help optimize marketing, supply chain, and sales operations to grow market share. The company has raised over $200M from investors such as SoftBank, Insight Partners, and Madrona. Learn more at commerceiq.ai. Role Overview CommerceIQ is hiring a Director of Engineering - AI Solutions to lead the development of advanced AI-powered SaaS products. This leader will shape the technical architecture of the AI platform while guiding and mentoring a team of engineers. The role combines hands-on engineering with team leadership. What You Will Do Drive the design and implementation of AI and agentic applications for digital commerce. Work closely with co-founders to push the boundaries of applied AI in the industry. Scale AI systems from research through production, ensuring real business impact for global brands. Mentor and develop engineering talent within the AI team. Who We’re Looking For Experienced technical leader in Data Science and Machine Learning. Background in training and deploying machine learning models at scale. Experience developing agentic applications. Comfortable working both as a hands-on contributor and as a mentor. Location and Work Schedule This is an onsite role based at CommerceIQ’s headquarters in Mountain View, California. The team works in the office Monday through Friday.

Join Coupang as the Senior Director of Search AI within our Production Engineering team. In this pivotal role, you will lead the development and implementation of cutting-edge AI technologies that enhance our search capabilities. You will collaborate with cross-functional teams to drive innovation and optimize user experience across our platform.

Waymo is at the forefront of autonomous driving technology with a vision to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—which aims to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable across various vehicle platforms and applications. To date, the Waymo Driver has successfully conducted over ten million rider-only trips, leveraging its experience from over 100 million miles driven on public roads and billions of miles in simulation across more than 15 U.S. states.We are in search of passionate and skilled engineers to join our team and spearhead the post-training process for large language models (LLMs) in the realm of autonomous driving. You will collaborate with an exceptional team of researchers and engineers to innovate and elevate the next generation of advanced AI models.

About UsNuro is pioneering self-driving technology with a mission to make autonomy accessible for everyone. Established in 2016, we are developing the world's most scalable driver, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate diverse applications, ranging from robotaxis to commercial fleets and personal vehicles. With years of proven deployment in self-driving environments, Nuro offers automakers and mobility platforms a viable pathway to commercial-scale autonomous vehicles, creating a safer, more connected future.Role OverviewAs a Senior/Staff Machine Learning Research Scientist, you will work closely with multidisciplinary teams, focusing on generative modeling to solve complex planning challenges in autonomous driving. You will utilize cutting-edge techniques—including diffusion models, flow matching, and energy-based models—to create innovative solutions that enable safe and efficient driving behavior in real-world scenarios. Additionally, you will manage the complete lifecycle of your models, transitioning them into robust applications for global autonomous driving deployments.Key ResponsibilitiesDesign and enhance state-of-the-art generative models, particularly focusing on diffusion architectures, flow-matching methods, and energy-based models, aimed at autonomous plan generation.Integrate large language models and world foundation models to facilitate reasoning, decision-making, and multi-modal generation.Employ reinforcement learning to optimize generative models for interactive reasoning, and investigate reward modeling and self-play methodologies.Create controllable generative models that steer the generation process towards specific goals and conditions.Collaborate with various autonomy teams to develop comprehensive solutions for key challenges in autonomous technology, ensuring rigorous evaluation through deployment on the Nuro Driver.