Senior Data Scientist, Safety Evaluation

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 focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives lost to traffic accidents. The Waymo Driver …

Waymo is a pioneering autonomous driving technology firm dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless lives lost to traffic accidents. The Waymo Driver fuels Waymo's fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and autonomous driving experience across 100 million miles on public roads, in addition to tens of billions of miles in simulations across more than 15 U.S. states, we are setting new standards in safety and efficiency.The Planner Evaluation team is tackling one of the most critical challenges in autonomous driving: assessing and enhancing the quality of the software that controls the vehicle. We seek seasoned data-driven software engineers and data scientists to elevate how we assess and characterize changes in the Onboard software stack (including Planner and Perception).Your primary responsibility will be to streamline, validate, manage, and organize the most prevalent safety metrics at Waymo. This role will require deep collaboration with a diverse range of stakeholders to grasp the fundamental applications of these safety metrics. Through a comprehensive understanding of the data, you will provide expert recommendations on the best solutions and their interpretations. You will also validate and enhance metric quality to meet the expanding use cases of Waymo's products, including new platforms and territories. If you are passionate about autonomous vehicles and leveraging complex data to inform decision-making, this opportunity is for you!In this hybrid role, you will report to a Data Science 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 UsGatik is at the forefront of transforming autonomous middle-mile logistics, providing cutting-edge transportation-as-a-service (TaaS) solutions to streamline B2B supply chains. Our mission is to ensure safe and timely deliveries while alleviating congestion in freight movement. We proudly launched the world’s first fully driverless commercial transportation service with Walmart in 2021, utilizing our Class 3-7 autonomous trucks in key markets such as Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to securely transport freight between pick-up and drop-off points across the middle mile, excelling in both highway and urban environments. This all-in-one solution integrates advanced software and hardware, seamlessly fitting into our customers’ logistics frameworks.Role OverviewWe are in search of a dedicated Safety Engineer to spearhead safety performance evaluations and implement data-driven assessments for our autonomous trucking systems. In this pivotal role, you will establish and track Safety Performance Indicators (SPIs) and Key Performance Indicators (KPIs), ensuring compliance with Gatik’s safety protocols and promoting ongoing safety enhancements from the vehicle level to fleet-wide implementations.This position requires a commitment to being onsite five days a week at our Mountain View, CA or Fort Worth, TX office.Key ResponsibilitiesEvaluate safety performance through real-world and simulated data analysis.Lead post-deployment safety assessments and develop risk mitigation strategies.

Waymo is at the forefront of autonomous driving technology with a commitment to becoming the most trusted driver in the world. 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 and save thousands of lives lost in traffic accidents. The Waymo Driver has been instrumental in powering Waymo’s fully autonomous ride-hailing service, accruing over ten million rider-only trips, and has autonomously navigated more than 100 million miles on public roads alongside tens of billions of miles in simulation across 15+ states in the U.S.We are launching an innovative team known as SCORPIO (SimEval Capacity Operations, Resource Planning, Infrastructure Optimization). This team will play a crucial role in optimizing the utilization of Waymo’s extensive simulation compute, storage, and network resources. SCORPIO will focus on creating data-driven models, metrics, and processes for demand forecasting, capacity planning, and resource allocation optimization, thereby enhancing developer experiences and maximizing infrastructure investment returns.

OverviewAt Google DeepMind, we believe that Artificial Intelligence is one of the most transformative inventions for humanity. Our team comprises scientists, engineers, and machine learning specialists dedicated to advancing cutting-edge AI technologies for the benefit of society and scientific progress, with a strong emphasis on safety and ethical considerations.The Gemini Safety team is responsible for ensuring the safety and fairness of our latest Gemini models. We are seeking a Research Scientist who will leverage data and innovative algorithms to enhance the performance of our user-oriented models. This role demands a fast-paced, highly collaborative work environment where support and teamwork are paramount.About UsGoogle DeepMind is at the forefront of AI innovation, focusing on using our technologies for meaningful public impact and exploring scientific frontiers. We work closely with various partners to tackle significant challenges while prioritizing ethical standards and safety protocols.Position OverviewWe are in search of a dynamic Research Scientist who excels in both exploring novel research inquiries and implementing technical solutions. Our team's mission is to enhance the safety and fairness of state-of-the-art AI models, contributing foundational technology to multiple product areas including Gemini App, Cloud API, and Search.Key Responsibilities:Optimize post-training and instruction tuning of state-of-the-art LLMs across various modalities including text-to-text and image/video/audio-to-text.Investigate data-driven, reasoning, and algorithmic strategies to ensure Gemini Models remain safe, highly effective, and accessible to all users.Enhance Gemini’s resilience against adversarial threats, particularly concerning high-risk abuse scenarios.Develop and uphold high-quality evaluation protocols to identify model behavior gaps and opportunities related to safety and fairness.Create and implement experimental plans to bridge identified gaps or develop new capabilities.Foster innovation and deepen our understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale.

Moveworks, a part of ServiceNow based in Mountain View, is looking for a Senior Data Scientist. This position focuses on using advanced analytics to guide decision-making and enhance product features. Collaboration is central, as the Senior Data Scientist works with multiple teams to identify opportunities and shape solutions that use AI to transform customer service. Key responsibilities Analyze complex datasets to inform business and product strategies Partner with engineering, product, and other groups to address challenges and drive improvements Create new methods to strengthen AI-powered support tools Support ongoing initiatives to advance customer service through artificial intelligence Role overview This role centers on both technical analysis and cross-functional teamwork. The Senior Data Scientist will play a part in shaping how AI is used to improve customer experiences at Moveworks and ServiceNow.

Waymo, a leader in autonomous driving technology, aims to be the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, our mission is to create the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce traffic fatalities. The Waymo Driver powers our fully autonomous ride-hail service and can be integrated across various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, we are pioneering the future of transportation.As part of our Product Data Science team, you will collaborate with Engineering, Product, and Operations to leverage data for informed decision-making. We tackle high-impact projects, from quality assurance and operational efficiency to market analysis and rider satisfaction. Our data-driven, inquisitive, and adaptable approach is essential for scaling the Waymo Driver safely and effectively.This position follows a hybrid work model and you will report to the Product Data Science Lead.

Waymo is at the forefront of autonomous driving technology, aiming to be the most trusted driving partner globally. 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 prevent the loss of lives in traffic incidents. The Waymo Driver underpins our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. With over ten million trips completed and over 100 million miles driven autonomously on public roads, Waymo is paving the way for safer and efficient transportation across 15+ states in the U.S.Waymo's Product Data Science team collaborates closely with Engineering, Product, and Operations to drive data-informed decision-making across the organization. We engage in high-impact projects that span quality assurance, operational efficiency, market analysis, and rider satisfaction, all aimed at scaling the Waymo Driver safely and effectively. Our team thrives on curiosity, adaptability, and a data-driven mindset.This position follows a hybrid work model, reporting directly to the Manager of Product Data Science.

Join LinkedIn as a Senior Staff Applied Scientist specializing in Infrastructure Data Science. In this pivotal role, you will leverage your expertise to drive innovation and enhance the efficiency of our infrastructure systems. You will collaborate with cross-functional teams, developing cutting-edge data solutions that significantly impact our global user base.Your responsibilities will include conducting advanced data analyses, modeling complex systems, and implementing machine learning algorithms to optimize performance. You will also mentor junior scientists and contribute to a vibrant research culture, ensuring that LinkedIn remains at the forefront of technology and data science.

Aera Technology is at the forefront of Decision Intelligence Platforms, recognized as a leader in the Gartner® Magic Quadrant™ for 2026. Our innovative technology empowers organizations to digitize, enhance, and automate their decision-making processes using cutting-edge AI and machine learning. Through our Aera Decision Cloud™, we assist some of the most renowned global brands in making more intelligent and rapid decisions. As a privately-held, VC-backed company, we boast a diverse, global team of over 400 skilled Aeranauts and are on an exciting growth trajectory. We are dedicated to delivering innovative Decision Intelligence solutions and services that empower enterprises to streamline their decision-making with precision and agility. Our commitment to generating value has made us the preferred partner for market leaders seeking to unlock previously unattainable opportunities. The Principal Data Scientist is a pivotal role in advancing Aera’s data science strategy. This position spearheads impactful machine learning projects, architects and implements scalable AI solutions, and ensures that our data-driven capabilities evolve in alignment with business objectives. As a thought leader, the Principal Data Scientist collaborates with Product, Engineering, and Client Success teams to address complex business challenges, enhance product intelligence, and steer the overall data science vision for the organization. The ideal candidate will reside in the San Francisco Bay Area and be available to work in the office with the Senior Vice President of Data Science and Chief Technology Officer at our headquarters in Mountain View three days per week.

About Our TeamThe GeminiApp team is dedicated to crafting a universal AI assistant that will transform how billions of individuals engage with technology. Our vision is to develop a personal and proactive life assistant that significantly boosts productivity and creativity, enabling users to achieve more in their daily lives. Join us as we redefine human-AI interaction at scale.About the RoleAs a Senior Data Scientist on the GeminiApp team, you will play a crucial role in shaping our product strategy while leading a dynamic team of data professionals. Your expertise in data will be pivotal in developing a uniquely proactive assistant, ensuring our strategic initiatives are firmly grounded in actionable insights. This is a high-impact position ideal for a data scientist eager to thrive in a fast-paced and innovative environment, passionate about creating user-focused experiences that will revolutionize our relationship with technology.Key ResponsibilitiesCollaborate with Product Management, Engineering, and UX leaders to formulate data-driven product strategies across various areas of GeminiApp.Translate complex, ambiguous questions into clearly defined problems, design robust experiments, and extract insights from large, complex datasets.Establish and implement innovative, goal-oriented metrics that drive product success.Develop and deploy statistical and machine learning models to understand user behavior, enhance product capabilities, and personalize the user experience.Effectively communicate findings and strategic recommendations to stakeholders, including executives.Promote a data-driven culture by integrating user engagement insights back into models.Work alongside the GenAI team to ensure model quality and feature adoption.Serve as a technical mentor for a global team, guiding junior team members in complex analyses and upholding best practices for high-quality, impactful work.

Join Our Team as a Data Scientist at Otter.aiAt Otter.ai, we are on a mission to transform conversations into meaningful insights. As a Data Scientist in our Product Development team, you will play a pivotal role in harnessing the power of data to shape product strategies, enhance user engagement, and drive monetization efforts. Your analytical expertise will help us refine customer experiences, ultimately contributing to our overall success. If you are enthusiastic about leveraging data to foster business growth and want to be part of a forward-thinking team, we encourage you to apply and help us in our quest to make conversations more valuable.Key ResponsibilitiesCollaborate with Product teams to translate business objectives into actionable data-driven insights.Design and implement predictive models and analytical tools to assess product usage and customer behavior.Analyze large datasets to derive insights that inform strategies for user engagement and revenue generation.Conduct experiments to test hypotheses and evaluate the effectiveness of various product features and strategies.Work closely with cross-functional teams, including Product Management and Engineering, to integrate data insights into product development.

Join Coupang as a Staff Data Scientist specializing in Ads Analytics, where you'll drive data-driven decision-making to enhance our advertising strategies. In this dynamic role, you will analyze large datasets, develop predictive models, and collaborate with cross-functional teams to optimize ad performance.As a vital member of our analytics team, you will leverage advanced statistical techniques and machine learning algorithms to uncover insights that will shape our advertising initiatives. You will also present your findings to stakeholders, helping to guide our strategic direction.

Waymo, an innovative leader in autonomous driving technology, is committed to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic incidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips and driven over 100 million miles on public roads, Waymo is at the forefront of redefining transportation safety and accessibility.As we scale our ride-hailing service, rigorous performance evaluation of the Waymo Driver is essential to achieving our ambitious goals. Our data scientists collaborate closely with engineering teams throughout the software development cycle, utilizing statistical models and developing metrics and frameworks to ensure the Waymo Driver meets our high standards for safety, compliance, and service quality. The unique challenges of autonomous driving also introduce new paradigms in data science, where we not only analyze real-world data but also generate our own data using advanced simulation technologies, leading to richer insights and innovative solutions in estimation and experimental design.In this hybrid role, you will report directly to a data science manager.

Be a Part of the Future of Home RoboticsAt sunday, we are pioneering the development of personal robots designed to liberate individuals from the burden of repetitive tasks. Our mission is to democratize access to generalized robotics, allowing families to reclaim precious time spent on mundane activities.After investing 18 months in assembling an exceptional team, securing investment, and validating our technology, we are on the lookout for passionate professionals eager to join us during this exciting phase of growth. If you are ready to channel your expertise into cutting-edge robotics innovation, we want to hear from you.Your RoleAs a Full Stack Engineer focused on ML Data & Evals, you will serve as the vital link between raw data and robotic intelligence. You’ll create the foundational infrastructure for our ML team to evaluate and deploy models effectively. Your contributions will expedite the research-to-production cycle, facilitating on-robot evaluations and visualizing model performance in intricate, real-world settings.Key ResponsibilitiesDesign Interactive Data Systems: Develop interfaces and engines that integrate robot and Skill Capture Gloves™ data, enabling efficient human-in-the-loop workflows, from episode annotation to seamless transitions between autonomous operation and manual teleoperation.Conduct Evaluations & Benchmarking: Create high-performance tools to compare model-driven motions with human-captured ground truths, aiding in the assessment of model advancements across various tasks.Data Processing & Orchestration: Design processing services that convert raw captures and sensor data into formats suitable for machine learning, ensuring a smooth transition from our global data collection systems to the models that power our robots.Adaptability in a Startup Environment: While your primary focus will be the ML Platform, our Full Stack Engineers should be versatile, readily adjusting to shifting priorities and contributing across different areas of the stack as we grow.

P-1107 At Databricks, we are dedicated to empowering data teams to tackle the world's most pressing challenges, from detecting security threats to advancing cancer drug development. Our mission is to create and maintain the leading data and AI infrastructure platform, enabling our customers to concentrate on the significant challenges central to their objectives. Our customers entrust their most critical data to Databricks, and the Trust & Safety team is committed to establishing the most reliable Data and AI platform globally. The Security Foundation Engineering team plays a pivotal role in safeguarding our platform and customers from emerging threats. We are seeking a Senior Engineering Manager to spearhead this initiative and define how security is integrated into every layer of our platform.

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, Waymo has been committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hailing service but can also be adapted to various vehicle platforms and applications. With over ten million rider-only trips under its belt, the Waymo Driver has driven autonomously over 100 million miles on public roads and completed tens of billions of miles in simulation across more than 15 U.S. states.The Planner Evaluation team tackles one of the primary challenges in autonomous driving: assessing and elevating the quality of the software steering the car. We seek data-driven software engineers and data scientists who are passionate about autonomous vehicles and adept at utilizing complex data to inform decision-making. If this excites you, we encourage you to apply!This position follows a hybrid work model and reports to an Engineering Manager.

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, Waymo's mission centers on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to reduce the thousands of lives lost annually due to traffic accidents. The Waymo Driver is the backbone of Waymo's fully autonomous ride-hailing service and has the potential to be integrated across a variety of vehicle platforms and use cases. With over ten million trips completed and more than 100 million miles driven autonomously across 15+ U.S. states, Waymo is leading the charge toward safer roads.As a critical element of scaling our ride-hailing service, rigorous performance evaluation of the Waymo Driver is essential in achieving our ambitious objectives. Our data scientists collaborate closely with engineering teams through every phase of the software development lifecycle, utilizing statistical models and crafting metrics to ensure the Waymo Driver adheres to our stringent safety, compliance, and service quality standards. The unique challenges posed by autonomous driving create a new paradigm for data science, where we not only analyze real-world data but also generate high-quality synthetic data through advanced simulation technologies, providing richer signals and tackling complex estimation and experimental design issues.In this hybrid role, you will report to a Data Science Manager.

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.