Senior Systems Engineer - Aeva

About Us:Aeva is at the forefront of revolutionizing perception technology across various sectors, including automated driving, industrial robotics, consumer electronics, healthcare, and security. Our innovative integration of LiDAR components onto a silicon photonics chip enables us to deliver compact yet powerful 4D LiDAR sensors. These sensors not only pr…

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 underpins our fully autonomous ride-hail service, with applications across various vehicle platforms and use cases. With over ten million rider-only trips facilitated, our technology has autonomously navigated over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states.The Safety Evaluation team acts as the guardians of safety, integrating data analysis expertise and thorough validation into our autonomous driving systems. We work in close collaboration with engineering teams to ground the evaluation of machine learning-intensive systems in safety principles. Our deep knowledge permeates every aspect of our safety-critical systems, ensuring that every decision made by our vehicles is supported by rigorous analysis and sound reasoning. Our mission extends beyond mere assessment to innovation, as we develop advanced ML techniques specifically designed for the intricacies of collision evaluation. Ultimately, we are paving the way for safer roads and a future in which Waymo vehicles navigate the complexities of the real world with confidence.As a Senior Data Scientist specializing in Safety Evaluation at Waymo, you will be pivotal in ensuring the safety and reliability of our autonomous vehicles. Your role will encompass a wide range of data analysis, model development, and evaluation tasks. While no two days are the same at Waymo, your core responsibilities will include:Creating safety evaluation frameworks essential for enhancing ML models.Designing and executing comprehensive data analysis pipelines and validation frameworks.Utilizing statistical methods and ML models to analyze historical/simulation data and evaluate safety performance.Collaborating with cross-functional teams such as Simulation and Planning to guarantee thorough safety evaluations across the autonomous driving system.

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 poetiq as an AI Scientist, where you will innovate and develop the essential algorithms for our cutting-edge self-improving reasoning engine. Your role will involve pioneering data-efficient methods that enhance our system's capability to learn reasoning processes—delving into large language models (LLMs), uncovering their latent knowledge, and integrating pieces into accurate, multifaceted responses.You are an ideal candidate if you:Possess a profound, first-principles grasp of LLM reasoning, including their nuances and potential pitfalls, gained through practical experience.Demonstrate expertise in the design, search, or optimization of machine learning algorithms, with a clear understanding of the limitations associated with conventional LLM training methodologies.Excel in crafting innovative, data-efficient strategies for identifying optimal reasoning approaches tailored to specific tasks.Show a strong enthusiasm for developing core self-improvement mechanisms that empower our system to autonomously learn from the challenges it addresses, enhancing its performance over time.Hold a solid record of publications and thrive on transforming unconventional ideas into reality.

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, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic accidents. Our Waymo Driver powers a fully autonomous ride-hail service, having completed over ten million rider-only trips, backed by vast experience driving over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.Within our Driver Understanding and Evaluation (DUE) team, we strive to develop comprehensive metrics for analyzing the Waymo Driver's behavior in real-world scenarios.In this hybrid role, you will report directly to a Software Engineering Manager.

OverviewArtificial Intelligence stands as a pivotal invention for humanity. At Google DeepMind, we unite a diverse group of scientists, engineers, and machine learning specialists dedicated to pushing the boundaries of AI technology. Our mission is to leverage our innovations for the greater public good and scientific exploration, while prioritizing safety and ethical considerations in all our endeavors.About Our TeamWe are actively seeking talented Research Scientists to become integral members of our Robotics team. Our objective is to develop 'Embodied AI'—an advanced robotic intelligence designed to perform a wide range of physical tasks, ultimately enhancing the quality of life for billions across the globe.Your RoleAs a Research Scientist, you will engage in a variety of exciting projects, including the development of novel algorithms, prototyping applications, and hands-on work with robots both in the lab and real-world contexts. Collaborating within large, dynamic teams, you will contribute to groundbreaking advancements in Robotics AI. We believe that extensive foundational models will revolutionize general-purpose robotics, similar to our Gemini Robotics initiatives. This position entails working alongside a multidisciplinary team to pioneer the future of robotics.Key Responsibilities:Design, implement, train, and assess large models and algorithms for robotic systems, achieving significant advancements in robotic capabilities.Develop software to operationalize research concepts and facilitate rapid iteration.Utilize your expertise to contribute to a broad spectrum of research domains: simulation learning, reinforcement learning, demonstration learning, vision-language-action models, transformers, video generation, and humanoid robot control.Collaborate effectively within a large, fast-paced team to achieve ambitious research objectives.Innovate new ideas, design experiments, and validate hypotheses, presenting research findings clearly to both internal and external audiences.

OverviewWe are seeking a passionate Research Engineer to enhance information literacy through machine learning, with a focus on evaluating the trustworthiness of media content including images, audio, and video. You will explore key concepts such as authenticity, provenance, and context. Your responsibilities will encompass rapid prototyping of machine learning techniques, conducting exploratory data analysis, collaborating with product teams to promote research initiatives, and developing innovative tools and frameworks aimed at expediting research efforts. A notable example of our research is Backstory.About UsAt Google DeepMind, we believe that artificial intelligence can be one of humanity's most significant contributions. Our diverse team of scientists, engineers, and machine learning experts is dedicated to pushing the boundaries of AI technology for the greater good. We prioritize safety and ethics in our work and collaborate on critical challenges to ensure our innovations benefit society.We foster a supportive and inclusive environment that encourages collaboration and knowledge sharing. We aim to challenge conventional limits and inspire each other to exceed our ambitious goals.Your RoleAs a Research Engineer, you will be part of an interdisciplinary team consisting of domain experts, ML researchers, and engineers. You will work on developing systems and tools to evaluate the trustworthiness of media across the internet. Relevant focus areas include media authenticity, context discovery, and open-source intelligence investigations. One of our recent projects is Backstory.Key Responsibilities:Plan and execute rapid prototyping of machine learning techniques for assessing media authenticity.Conduct exploratory analysis to guide experimentation and research directions.Collaborate with product teams to advance our research's development.Create tools, libraries, and frameworks to facilitate and accelerate new research initiatives.Document and present research findings, software developments, and experimental results.

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.

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.

About Bespoke LabsBespoke Labs is a cutting-edge applied AI research laboratory at the forefront of data and reinforcement learning (RL) environment curation. We are dedicated to training and evaluating intelligent agents through innovative methodologies.Recently, we developed Open Thoughts, an exceptional open reasoning dataset now utilized by leading labs, enabling the training of state-of-the-art specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck. We have also successfully taught agents to execute multi-turn tool-calling using reinforcement learning techniques.Bespoke Labs is strategically positioned to capture a significant market share in data curation and RL environment development.About The RoleWe are seeking a Research Engineer to integrate pioneering research with large-scale development and deployment of RL environments. This role will place you at the intersection of research and engineering, collaborating with leading labs and enterprise clients to identify their requirements and transform those insights into systematic environment creation.The ideal candidate will possess both research acumen and execution excellence. You will need to stay abreast of the latest advancements in agent training, effectively communicate with research teams at top labs, and construct robust systems that deliver high-quality environments at scale. You should be equally comfortable with academic literature, prototyping new approaches, and deploying production pipelines.Your collaboration will extend to external partners (frontier labs, enterprise clients) and internal teams, ensuring that our research insights are translated into impactful products that enhance the capabilities of agent training.What You'll DoResearch & CollaborationCollaborate with leading AI labs to comprehend their agent training requirements and design tailored environments.Keep updated with the latest research in RL, agent training, and evaluation methodologies.Prototype innovative approaches for environment generation, curriculum design, and data curation.Convert academic findings into actionable engineering solutions.Environment & Data Pipeline DevelopmentDesign and implement scalable data pipelines for RL environments.Enhance existing systems for performance and reliability.Collaborate with cross-functional teams to deliver integrated solutions.

About UsAt DeepMind, we are pioneers in the realm of cutting-edge recommender systems, dedicated to innovating and deploying state-of-the-art deep learning algorithms on a large scale. Our current focus is on developing next-generation Large Recommendation Models that seamlessly integrate LLMs with intricate behavioral signals. Our research delves into user and item tokenization, ongoing pre-training, and sophisticated fine-tuning techniques aimed at creating foundation models specifically tailored for recommendations. Join us in our mission to revolutionize recommendation systems through advanced AI technologies, making a substantial impact on Google's flagship products.The RoleAs a Research Scientist, you will have the unique opportunity to set new standards using Large Language Models, leveraging their advanced content comprehension, extended context, and reasoning capabilities. Your contributions will be vital in integrating data from recommendation domains into foundational models, unlocking new features through data curation, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and beyond.Key Responsibilities:Conduct research and develop innovative technologies, including Semantic IDs, generative retrieval/ranking, and large-scale user models.Create prototypes that showcase the potential of recommendation systems powered by the latest advancements in AI.Collaborate closely with product teams to translate research insights into real-world solutions for flagship products, addressing significant challenges at an industrial scale.

OverviewAre you passionate about enhancing information literacy through cutting-edge AI and machine learning? Join us as a Research Scientist in Information Quality, where you'll focus on evaluating the trustworthiness of media formats such as images, audio, and video. Engage in exploring essential concepts like authenticity, provenance, and context. Your key responsibilities will include developing metrics, conducting simulations, rapid prototyping of machine learning techniques, and performing exploratory data analysis. Collaborate with product teams to drive meaningful research and create innovative tools and frameworks that propel our research initiatives forward. A notable example of our work is Backstory.About DeepMindAt DeepMind, we believe that artificial intelligence has the potential to be one of humanity's most transformative inventions. Our team comprises scientists, engineers, and machine learning experts dedicated to pushing the boundaries of AI for public benefit and scientific discovery. We tackle critical challenges with an unwavering commitment to safety and ethics, ensuring our innovations are used responsibly.We foster a collaborative and inclusive environment where knowledge sharing is paramount. We challenge the status quo, encouraging our team to break barriers and achieve extraordinary outcomes.Role ResponsibilitiesIn this role, you will immerse yourself in advancing information literacy through machine learning and computational techniques. Collaborate within an interdisciplinary team of experts to conduct pioneering research aimed at developing the next generation of multimodal AI assistants that facilitate investigation and deliberation. Your work will extend to various domains, including media authenticity assessment, context discovery, and open-source intelligence investigations. A prominent example of our recent research is Backstory.Key Responsibilities:Lead research projects by defining critical research questions.Design, implement, and evaluate experimental frameworks to derive actionable insights.Translate research findings into real-world applications within Google products and services.Publish your research in prestigious academic conferences and journals.Stay informed on the latest advancements in the field.Collaborate with cross-functional teams to ensure impactful research outcomes.

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.

Role Overview Khan Academy is looking for a Staff User Experience Researcher to join the Foundations and Enablement team. This position can be based in Mountain View, CA or remote within the continental US, Hawaii, or Canada. What You Will Do Conduct user research to inform and improve Khan Academy’s educational platforms. Work closely with product managers, designers, and engineers to gather insights that guide user-centered design decisions. Help ensure the platform addresses the needs of a diverse community of learners and educators. Play a key role in shaping product direction through research findings and recommendations. Collaboration This role involves frequent collaboration with cross-functional partners across product, design, and engineering to drive improvements and support the future of learning at Khan Academy.

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.

At Logos Space, we are revolutionizing satellite communications with our Low Earth Orbit (LEO) satellite system, meticulously designed to meet the connectivity demands of both commercial enterprises and government entities. Our mission is to bridge critical gaps in the market by delivering robust and high-performance satellite-based connectivity solutions globally. With established contracts that define performance standards for broadband services, we integrate these capabilities into our systems from the outset, ensuring speed and reliability as our core principles. Logos aims to extend seamless cloud and data center network connectivity to fixed, maritime, and airborne terminals worldwide.Our team is composed of seasoned engineers with extensive experience in the networking and satellite domains, committed to fostering innovation and excellence.Position SummaryIn the role of Senior Mission Simulation Engineer, you will spearhead the design and upkeep of our constellation’s Digital Twin. Your expertise will enable the creation of highly accurate, user-friendly simulations that depict the intricate relationships between orbital dynamics, satellite hardware, and network architecture. Your contributions will be vital for all stakeholders—allowing visualization of constellation health, identification of network inefficiencies, and exploration of essential

Aeva builds advanced sensor technology aimed at enhancing how autonomous systems interpret their environments. The Research and Development Technician plays a hands-on role in this effort. Role overview This position centers on supporting research projects by running experiments and gathering data. The technician also assists with developing new solutions, working closely with engineers and researchers to advance Aeva’s sensor technology. Key responsibilities Set up and conduct experiments as part of ongoing research Collect and analyze data to inform project direction Support the development and testing of new sensor solutions Impact Work in this role directly shapes project outcomes and influences the way both people and machines interact with their surroundings.

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.

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 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.