Fleet Response Training Program Manager

Research Engineer / Scientist, Response Quality/HermesMountain View, CAAt Google DeepMind, we celebrate the diversity of experiences and perspectives, leveraging them to create a transformative impact. We are dedicated to providing equal employment opportunities to all, regardless of sex, race, religion, ethnicity, disability, age, citizenship, marital status, sexual orientation, gender identity, or any other legally protected status. If you require accommodations due to a disability or other needs, please let us know.Team OverviewJoin a visionary team.At Google DeepMind, our multidisciplinary team of engineers and scientists is pivotal in advancing Gemini’s post-training evolution. Our goal is to evolve Gemini from a static answer engine into a dynamic, collaborative AI partner capable of rich, multi-faceted interactions.Our initiatives encompass a comprehensive range of model alignment and interaction design, including:Advanced Modeling Techniques: Innovating and scaling SFT, RL, and Reward Modeling techniques to enhance multi-turn reasoning and collaborative behaviors.Next-Generation Evaluation: Developing autonomous user-agent evaluation methods to emulate complex interactions and measure the quality of human-AI exchanges.Multimodal Response Generation: Enhancing user experience by integrating diverse formats such as images, charts, and interactive widgets beyond traditional text responses.About Google DeepMindArtificial Intelligence is poised to be one of humanity’s most transformative inventions. At Google DeepMind, our team of scientists, engineers, and machine learning experts collaborate to push the boundaries of AI technology. Our commitment to safety and ethics ensures that we prioritize public benefit and scientific discovery in all our endeavors.Role OverviewAs a Research Engineer/Scientist within the Gemini Post-Training team, you'll play a crucial role in bridging the gap between core model alignment and next-gen interactive AI. You will reimagine how Gemini engages, reasons, and collaborates with users through complex, multi-turn exchanges.

At Logos Space, we are pioneering a Low Earth Orbit (LEO) satellite system tailored to meet the connectivity demands of commercial enterprises and government entities. Our mission is to bridge a vital market gap by delivering robust, high-performance satellite-based connectivity solutions to clients worldwide. Our business partners will benefit from contracts that stipulate precise performance standards for broadband, which we will integrate into our system from the outset. The foundation of our operation lies in speed and reliability, with the ability to extend cloud and data center network connectivity globally to fixed, maritime, and aviation terminals.Our team consists of seasoned engineers with extensive expertise in both the networking and satellite sectors.Position Summary & ResponsibilitiesWe are looking for a detail-oriented and strategic Quality Engineering Lead to spearhead our quality strategy for the LEO satellite constellation, particularly in a high-rate production environment. This pivotal operations leadership role involves establishing and managing quality metrics at various levels, including suppliers, bus partners, and payload assembly. The perfect candidate will work collaboratively with suppliers, external bus partners, and contract manufacturers. This position demands a data-driven mindset focused on quality, highlighting process control and readiness, while making informed decisions to balance production schedules with mission risks—moving past the conventional testing paradigms typical in space production. You will play a crucial role in assuring both production and mission readiness through stringent prototype testing and in-line quality oversight.We seek individuals who thrive in a dynamic environment, capable of transforming ambiguous requirements into actionable plans that align with Logos' product objectives. If you enjoy tackling challenging problems, take initiative, and possess a strong sense of ownership over your tasks, we want to hear from you.Key ResponsibilitiesQuality System Management: Develop and oversee essential quality metrics, such as Acceptable Quality Limit (AQL) levels, yields, and validation protocols for all supplier components, bus production/integration, and payload assemblies.Supplier & Partner Quality: Drive quality collaboration with key suppliers to define, implement, and audit in-line quality production points, ensuring consistency with production schedules.Production Readiness: Define and carry out prototype testing...

As a Product Quality Engineer at Waymo, you will play a crucial role in ensuring the highest standards of quality in our innovative automotive technologies. You will work collaboratively with cross-functional teams to identify, analyze, and resolve quality issues while implementing robust testing protocols. Your analytical skills and attention to detail will be essential in maintaining our commitment to excellence.

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.

About Our TeamThe Systems Engineering team at Nuro plays a pivotal role in defining the requirements, architecture, and validation processes for our autonomous driving capabilities. We focus on establishing performance metrics, evaluation methods, and success criteria that guide cross-functional efforts through requirement definitions and system validations. Operating at the intersection of hardware, software, and robotic operations, we possess a profound understanding of technologies across these domains. Our small, high-impact team sets the benchmarks for autonomy deployment.About the RoleAs a Senior/Staff Software Engineer specializing in Fault Response Verification, you will collaborate closely with our Autonomy development, evaluation infrastructure, and data science teams. Your responsibilities will include defining system-level behavior requirements in the presence of faults, developing metrics to identify requirement violations, creating innovative validation tools and pipelines for integration into our Safety Case and risk assessment frameworks, and contributing to risk quantification. Your work will significantly influence our immediate deployments and long-term autonomy feature roadmap, enhancing Nuro's operational fleet.Key ResponsibilitiesAnalyze the system-level implications of Nuro’s autonomy architecture and software to understand the interdependencies of failure modes and fault responses.Establish requirements for fault response, decomposing them through the autonomy software and hardware framework.Lead fault-centric validation from prototype through to production testing.Develop tools and data engineering frameworks to inject faults into the autonomy stack and interpret simulation, on-road, and closed-course testing results to evaluate mission capabilities and safety.Work with autonomy developers to identify high-impact metrics and performance indicators that assess our robots’ readiness to operate autonomously under degraded software states.Enhance tooling for automated evaluation of test logs to verify compliance with contingency requirements.About YouProven experience in software engineering with a focus on fault response verification.Strong analytical skills and the ability to work collaboratively in a fast-paced environment.Passion for autonomous systems and a commitment to safety and reliability.

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.

Join Aeva as a Senior Product Quality Engineer, where you will play a pivotal role in ensuring the excellence of our innovative products. In this position, you will be responsible for developing, implementing, and maintaining quality assurance protocols that align with our cutting-edge technology solutions.The ideal candidate will have a robust understanding of quality engineering principles and will work closely with cross-functional teams to enhance product reliability and performance. Your expertise will help us uphold our commitment to delivering high-quality products that exceed customer expectations.

Join Matic: Pioneering Home RoboticsAt Matic, we are on a transformative journey to reclaim the 2.5 trillion hours annually wasted on household chores by innovating in home robotics. Our flagship product, the Matic robot, is akin to a Wall-E-inspired floor cleaning solution. Equipped with advanced features such as real-time 3D mapping, adaptive path tracking, and an intricate semantic understanding of home environments, our robots are designed for reliability and efficiency in real households, utilizing only RGB cameras and on-device neural networks.Privacy at the CoreOur commitment to privacy means that all data processing occurs directly on the robot, ensuring that what happens in the home remains private.Our VisionMatic believes in a gradual evolution of home robotics, starting with focused, single-purpose devices and progressively enhancing their capabilities over time, much like the evolution of smartphones.Our Work EnvironmentWe are a close-knit, collaborative team dedicated to creating products that our customers love. Our employees are passionate problem solvers who are committed to developing innovative solutions that save time and energy.Your RoleAs a Robotics Quality Engineer at Matic, you will play a crucial role in ensuring our autonomous home robots meet exceptional standards of performance, reliability, and customer satisfaction. This position, based in Mountain View, California, involves close collaboration with production, engineering, and product teams to design and implement quality control processes that reflect Matic's commitment to delivering elegant and reliable robotic solutions. This full-time opportunity allows you to shape the quality framework of a rapidly growing startup, directly influencing the experiences of families who depend on our products.Our hardware team is characterized by meticulousness and teamwork, driven by a shared passion for excellence in robotics. If you have a keen eye for detail, enjoy tackling complex challenges, and are enthusiastic about ensuring our Wall-E-esque robots exceed expectations, we want to hear from you.Your Responsibilities:Develop and execute quality assurance processes to assess the performance, durability, and safety of Matic's robotic products.Conduct thorough root cause analysis on defects or failures, collaborating with engineering teams to devise effective solutions and mitigate recurrence.

At Study.com, our mission is to unlock the transformative power of education. We develop leading online college credit and test preparation solutions that empower working adults to earn their degrees, enhance their careers, and achieve economic advancement. Recognized by Fast Company and GSV 150 as one of the most innovative education companies globally, we are pioneers in AI-first learning, integrating artificial intelligence with cutting-edge learning science to enhance access and improve outcomes on a large scale.Our impact is reflected in our initiatives, such as Keys to College and Keys to the Classroom, which have collectively saved students over $700 million in tuition, enabling hundreds of thousands of learners to thrive in vital fields including nursing, teaching, counseling, business, and other high-demand professions. We are committed to measurable results and creating products that foster significant, lasting change in individuals’ lives.About the RoleWe are seeking a Senior User Researcher with an AI-first approach to lead and modernize our research team across product development, marketing, and branding, while spearheading the AI transformation within our Research department. This position is tailored for a seasoned, full-stack researcher who possesses expertise in both qualitative and quantitative methodologies, extensive experience in product and marketing research, and the capability to leverage AI to enhance the scale and quality of research at Study.com.You will play a crucial role in guiding our most significant research initiatives in the college credit and professional test preparation sectors, providing the company with strategic and actionable customer insights. Your responsibilities will also include overseeing internal voice of the customer programs, managing contractors, and conducting your own research in high-priority business areas.This position is based in our Mountain View, CA office and requires in-office attendance on Mondays, Wednesdays, and Thursdays.What You’ll DoLead and expand impactful research across product development, brand strategy, and marketing. Independently conduct complex generative and evaluative studies that identify unmet needs, shape product vision, and mitigate risks at scale.Implement advanced AI-driven practices and integrate AI into research workflows to ensure efficiency, quality, and impact. Define what it means to operate AI-natively in research, both internally and for our clients. Stay informed on the latest AI-based research techniques and tools.Identify connections, patterns, and insights across teams, ensuring knowledge is shared to inform decision-making. Collaborate with senior leadership to pinpoint and promote the highest-impact opportunities for research applications.

Join 360itprofessionals1 as a Front-End/UI Quality Engineer and play a critical role in enhancing user experience across our digital platforms. We are seeking a detail-oriented professional who is passionate about quality assurance and has a strong understanding of front-end technologies.

About Bespoke LabsBespoke Labs is a leading applied AI research lab at the forefront of data and reinforcement learning (RL) environment curation for training and evaluating intelligent agents. We have recently curated Open Thoughts, recognized as one of the premier open reasoning datasets utilized by numerous advanced research labs. Our innovations include the development of state-of-the-art models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, alongside training agents to effectively perform multi-turn tool calling through reinforcement learning.Bespoke Labs is uniquely positioned to capture a significant market share in the realm of data and RL environment curation.About The RoleWe are seeking an RL Environment Research Engineer to propel our efforts in crafting, assessing, and benchmarking training environments for AI agents. You will devise systematic methodologies for environment design, pinpoint agent failures, and transform those insights into high-quality training data and benchmarks.This position marries research intuition with practical execution. A deep understanding of agent behavior is essential—identifying reward hacking, analyzing failure modes, and discerning why certain environments yield superior training outcomes. You will convert this understanding into repeatable processes and benchmark suites that can be externally showcased.You thrive on both analytical tasks (reviewing agent rollouts, uncovering patterns in failures) and creative endeavors (designing environments, establishing evaluation pipelines). You can oscillate between exploring the science behind effective environments and actually producing them at scale.What You'll DoDevelop systematic strategies and frameworks for creating high-quality RL environments that proficiently train and evaluate agents.Investigate how large language models (LLMs) and agents fail across various task types, identifying patterns that inform superior environment design.Create benchmark environments that assess specific agent capabilities, preparing them for external release on our evaluation platform.Validate environment quality through hands-on testing—training small-scale agents, checking for reward hacking, and scrutinizing training dynamics.

Join Our Team at MaticMatic is pioneering the future of home robotics, striving to reclaim the 2.5 trillion hours consumed by household chores each year. Our flagship product, the Matic cleaning robot, delivers groundbreaking autonomous navigation and cleaning capabilities through advanced 3D mapping and adaptive path-tracking.With a strong emphasis on privacy, our robots ensure that all data processing occurs locally, safeguarding your home’s information. We aim to evolve home robotics from single-purpose tools to versatile solutions, creating a seamless integration into everyday life.At Matic, we foster a collaborative and driven culture, united in our mission to develop products that enhance the lives of our customers. Our team is committed to tackling complex challenges with innovative solutions.About the RoleWe are on the lookout for a Senior Research Engineer who will spearhead innovative perception research and advance our autonomous robotics platform. This role offers the chance to influence the technical direction of our perception stack while mentoring a passionate team of engineers.The ideal candidate possesses a strong problem-solving mindset and the ability to translate ideas into tangible, market-ready products. We seek detail-oriented innovators ready to push the boundaries of robotic perception technology.Key ResponsibilitiesDrive research projects aimed at addressing intricate perception challenges within dynamic home environments.Design and develop cutting-edge computer vision algorithms that extend beyond existing industry standards.Create novel neural network architectures tailored for edge deployment and real-time processing.Lead the development of advanced 3D geometric vision systems for improved spatial understanding.Establish and optimize robust machine learning infrastructure to support research initiatives.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from realizing the next mode of transportation to fast-tracking medical advancements. Our mission involves constructing and managing the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their operations. Search technology is integral to this endeavor. Through a combination of keyword retrieval, semantic similarity via vector embeddings, and hybrid methods, our Search technologies enable users to find, discover, and comprehend information within vast, intricate datasets. This technology fuels a wide array of applications, from Retrieval Augmented Generation (RAG) and AI assistants to recommendation engines, enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer specializing in Search Quality, you will steer the technical strategy for ranking, relevance, evaluation, and quality initiatives within Databricks' advanced Search product. You will architect and develop systems, models, and evaluation frameworks that guarantee our Search stack yields precise, high-quality outcomes across a variety of multimodal datasets and query patterns. Collaborating with research, product, and infrastructure teams, you will push the boundaries of retrieval quality for enterprise AI applications by integrating traditional information retrieval techniques with representation learning and neural ranking. In addition to your technical contributions, you will help shape our long-term vision for relevance and quality, mentor senior engineers, and lead strategic initiatives that enhance the accuracy, dependability, and overall impact of Search across Databricks.

At Reliable Robotics, we are pioneering safety-enhancing technologies for aviation, committed to transforming air transportation into a safer and more efficient means of moving goods and people around the globe. Our dedicated team of engineers, experienced in aerospace, robotics, and autonomous vehicles, is driving this innovative future.As a Senior Quality Assurance and Reliability Engineer within our Production organization, you will take on a crucial role in ensuring product safety and reliability. Your expertise will guide investigations, implement corrective actions, and foster continuous improvements. Join our dynamic team, where your contributions will help us enhance the quality of our products and services efficiently and effectively. You will spearhead the strategy and execution of our quality management system, focus on risk mitigation and prevention, and ensure the reliability of our designs, hardware, and flight systems. As we scale, you will play a key role in optimizing processes and developing automation that will drive our business forward. Your work will be foundational to the future of automated aviation systems, which are transitioning from prototype to production in a hands-on environment.Key ResponsibilitiesCollaborate with design, manufacturing, testing, and flight teams to produce reliable products, ensuring compliance while driving continuous improvement within the organization. Engage directly with flight hardware in both factory and airborne environments, conduct investigations on safety-critical products, and witness the development of the first certifiable autonomous aircraft.Partner with cross-functional teams throughout product development, from acceptance testing to quality checkouts, to create reliable hardware verification for flight components and systems. This includes identifying key operating characteristics and managing prototype development testing for functionality and manufacturability.Develop and oversee the quality management system to ensure compliance with processes, work instructions, certifications, and regulatory standards.Investigate manufacturing, supply chain, testing, and flight anomalies, identifying root causes and implementing effective resolutions.

About CreatifyAt Creatify, we are pioneering the first comprehensive AI advertising agent that automates the entire video ad lifecycle—from scripting and avatar-led generation to testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In a short span of just 18 months, we have achieved over $10 million in annual recurring revenue, catering to over 1.5 million users across more than 10,000 teams. Renowned brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for their personalized, high-performing video ad solutions, all created in mere minutes.With $24 million raised from leading Silicon Valley investors—including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, and Creator Ventures—we are on a remarkable growth trajectory. Our innovative approach has garnered attention from major media outlets such as Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.Join our passionate team of AI researchers, engineers, and advertising veterans in Mountain View as we revolutionize the advertising industry with cutting-edge AI technology.

Join our innovative team at dstaff as a Senior Principal Quality Assurance Engineer. In this critical role, you will lead the development and implementation of robust testing strategies, ensuring the highest quality standards in our products. You will collaborate closely with cross-functional teams to identify and resolve quality issues, enhancing our software development lifecycle.Your expertise will guide the team in adopting best practices and tools in quality assurance, playing a key role in mentoring junior engineers and fostering a culture of quality across the organization.

Join Our Team as an AI Research Engineer!At Creatify, we are at the forefront of revolutionizing the advertising landscape through cutting-edge AI technology. Our innovative platform serves as the world's first end-to-end AI advertising agent, automating every stage of the video ad lifecycle—from crafting scripts and generating engaging avatar-led videos to optimizing and publishing across major platforms like Meta, TikTok, and YouTube.In just a year and a half, we have achieved remarkable growth, surpassing $10 million in ARR and supporting over 1.5 million users across more than 10,000 teams. Esteemed brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for delivering personalized and high-performing video advertisements in record time.With $24 million in funding from prominent Silicon Valley investors, including WndrCo, Kindred Ventures, and Comcast Ventures, we are excited to continue our journey of innovation and excellence in the advertising sector. Our work has garnered attention from leading media outlets like Fast Company, TechCrunch, and Bloomberg TV.We are based in Mountain View, California, and our team consists of dedicated AI researchers, engineers, and advertising experts. We invite you to be part of this transformative journey in the advertising industry through AI.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver in the world. 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 while significantly reducing the number of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be adapted to various vehicle platforms and product use cases, having completed over 10 million rider-only trips and driven more than 100 million miles on public roads, with tens of billions of miles simulated across 15+ U.S. states.Waymo Operations is committed to delivering the Waymo Driver to the global market. Our dedicated team is building and scaling the world's premier autonomous fleet and operations platform. We ensure value creation for Waymo through the systematic deployment of the Waymo Driver, focusing on all aspects from component sourcing to end customer management. At Waymo, we foster a collaborative culture that encourages diverse backgrounds, perspectives, and ideas to enhance our service to the communities we operate within.In this dynamic hybrid role, you will report directly to the Head of Waymo Training and Documentation.

At Waymo, we are pioneering the future of autonomous driving technology with an unwavering commitment to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has always been on engineering the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. The Waymo Driver currently powers our fully autonomous ride-hail service, having completed over ten million rider-only trips and covering more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.This role in Software Engineering is crucial as we develop the intelligent systems that allow the Waymo Driver to navigate complex environments, make sound decisions, and ensure safe transportation for our users. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a dedicated software engineer or researcher with a passion for Level 4 autonomous driving, we are eager to meet you.In this hybrid role, you will report directly to a Technical Lead Manager.