Research and Development Technician

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, w…

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.

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.

Join LTA Research and Exploration, a pioneering aerospace start-up, as an Avionics Technician on a 6-month contract. We are at the forefront of developing groundbreaking airship technology, and we are looking for a skilled Avionics Technician with a focus on systems integration for research and development flight vehicles.In this role, you will collaborate closely with company personnel to plan, organize, and execute troubleshooting, installation, and inspections of various avionics subsystems. You will also provide essential flight operational support as needed, contributing to the successful realization of our innovative airship projects.

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.

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.

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 lives currently lost in traffic incidents. With over ten million rider-only trips facilitated by our technology, and more than 100 million miles driven autonomously on public roads, we are transforming transportation across 15+ U.S. states.The Predictive Planning team (PrePlan) is responsible for designing and implementing advanced machine learning solutions that forecast future world states and plan the Waymo Driver’s actions. Our goal is to harness Waymo’s extensive driving data to create robust, adaptable, and efficient deep neural networks that empower our autonomous vehicles to navigate complex environments safely.In this hybrid position, you will collaborate closely with our PrePlan team and be matched with your team after completing onsite interviews.Your Responsibilities Will Include:Developing cutting-edge ML-driven prediction and planning systems to boost the capabilities of our ML driver and facilitate the rapid growth of Waymo’s services.Converting open-ended, real-life challenges into well-defined ML problems, researching and applying state-of-the-art ML techniques, such as foundation models and reinforcement learning, to enhance autonomous vehicle planning and prediction.Collaborating with top-tier researchers, engineers, and product managers to ensure safe and smooth planning behaviors for all road users, aligning with product specifications.Creating and assessing large-scale models, integrating them into Waymo’s production planning software for real-world applications in close cooperation with the Planner and Research teams.

About Contextual AI At Contextual AI, we are at the forefront of transforming the functionality of AI Agents by addressing one of the most significant challenges in artificial intelligence: context. By providing the right context at the right moment, we enhance the precision and scalability that enterprises leveraging AI demand. Our comprehensive enterprise AI development platform bridges the gap between groundbreaking AI research and the practical needs of developers. It empowers AI developers to efficiently ingest and query documents from various enterprise data sources, seamlessly integrating retrieval results into their business processes. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the core technique that connects foundational models to real-time, relevant information, Contextual AI is supported by visionary venture capitalists. We are not merely participants in the enterprise AI revolution; we are shaping its direction. Join us in crafting a future where AI not only answers inquiries but also revolutionizes business operations. About the Role As a Research-focused Member of Technical Staff, you will engage in pioneering AI research initiatives, contributing significantly to the development of Contextual RAG pipelines, including retrieval systems, language models, and alignment methodologies. Responsibilities Lead research projects in language modeling, retrieval, alignment, retrieval-augmented generation, end-to-end training, and evaluation. Develop and implement scalable infrastructure and tools that facilitate effective research and model development. Continuously review and stay informed about current literature, advancements, and industry best practices. Participate in the entire research pipeline, from ideation and experimentation to analysis and deployment. Publish research findings that contribute novel insights to the field of AI. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field; Master's or PhD preferred. Solid software engineering fundamentals with a proven history of developing complex systems. Deep understanding of core machine learning principles with hands-on experience in language modeling, retrieval, large-scale training, or evaluation. Research experience (academic or industry) is highly advantageous, including knowledge of experimental design, analysis, and research methodologies. Exceptional problem-solving capabilities and the ability to excel in a dynamic research environment.

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.

ABOUT JUUL LABS:Juul Labs is dedicated to transforming the lives of over a billion adult smokers by steering them away from combustible cigarettes. Our mission extends beyond just product innovation; we strive to eliminate the use of harmful products and prevent underage access. With a commitment to quality, research, and cutting-edge design, we are tackling one of the world’s most complex public health challenges. Backed by esteemed technology investors, we prioritize attracting top-tier talent to join our diverse team of engineers, scientists, designers, and business professionals.ROLE OVERVIEW:We are seeking an enthusiastic and skilled Senior Research Associate to become a vital part of our Regulatory Biology team. This hands-on laboratory position entails the biological characterization of Juul Labs products and next-generation prototypes. You will engage in innovative in vitro experiments to enhance our product research and development efforts.As a successful candidate, you will collaborate closely with a team of experts in the Regulatory Chemistry and Chemistry Innovation divisions. We value flexibility, independence, and a proactive approach to challenges. Attention to detail is essential as you will conduct precise biological work, including:Conducting biological characterization of liquids and aerosols related to electronic nicotine delivery systems (ENDS).Performing established biological assays to support product development.Developing new methodologies for product characterization.Writing and executing Standard Operating Procedures (SOPs) and maintaining thorough records of results.

Join Databricks as a Principal Research Scientist specializing in AI Scaling & Optimization. In this pivotal role, you'll lead groundbreaking research initiatives aimed at enhancing the scalability and efficiency of AI models. Collaborate with cross-functional teams to translate innovative algorithms into practical applications that drive business value.As a key member of our research and development team, you will leverage your expertise to push the boundaries of AI technology, contributing to high-impact projects that shape the future of our platform.

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.

About NuroNuro is pioneering self-driving technology with a vision to make autonomy universally accessible. Established in 2016, we are committed to developing the most scalable driving solution, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from numerous self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewAs a Lead Machine Learning Research Scientist, you will collaborate with our autonomy teams to address complex perception, prediction, and planning challenges using innovative machine learning techniques. This includes working with foundation models, multi-modal large language models, generative models, out-of-distribution detection, imitation learning, and reinforcement learning. If you thrive on tackling challenging problems and translating solutions into real-world applications, we invite you to join our team!Key ResponsibilitiesResearch and implement cutting-edge machine learning techniques.Address state-of-the-art perception, prediction, and planning issues within our autonomy system.Develop and optimize efficient ML data pipelines.Provide technical leadership and mentorship to a diverse team.Deploy autonomous software solutions on public roads.

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.

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.

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.

About UsNuro is a pioneering self-driving technology firm committed to making autonomy accessible to everyone. Established in 2016, we are developing the world's most scalable autonomous driver by integrating advanced artificial intelligence with automotive-grade hardware. Nuro licenses its proprietary technology, the Nuro Driver™, for diverse applications including robotaxis, commercial fleets, and personal vehicles. With years of proven technology through self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more interconnected future.Role OverviewAs a Staff ML Research Scientist, you will collaborate with our autonomy teams to tackle perception, prediction, and planning challenges using innovative machine learning techniques. Your expertise in foundation models, multi-modal LLMs, generative models, out-of-distribution detection, imitation learning, and reinforcement learning will be invaluable. If you are passionate about solving complex problems and eager to see your solutions implemented in real-world scenarios, we invite you to join our team!Key ResponsibilitiesConduct research and apply cutting-edge machine learning methodsAddress state-of-the-art challenges in perception, prediction, and planningDevelop and optimize efficient ML data pipelinesLead and mentor a diverse team of professionalsProduce and deploy autonomous software for public deployment

Waymo is seeking a highly skilled Senior Research Scientist to join our innovative team focused on sensor simulation. In this role, you will be responsible for developing cutting-edge simulation technologies that enhance our autonomous vehicle systems.Your expertise will contribute to improving the accuracy and efficiency of our simulations, playing a crucial role in the advancement of self-driving technology. You will collaborate with cross-functional teams to drive innovation and ensure our systems are at the forefront of the industry.

Waymo is a pioneering company 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 been on a mission to develop the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and prevent the thousands of fatalities caused by traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With more than ten million rider-only trips completed, our technology has successfully navigated over 100 million miles on public roads and simulated tens of billions of miles across more than 15 U.S. states.The Perception team is responsible for creating the systems that learn the spatial-temporal representation and semantic meanings of the environment surrounding the autonomous driving vehicle (ADV). Our work involves close collaboration with downstream teams to optimize and integrate these systems into the Waymo Driver. We actively conduct research to solve real-world challenges and partner with research teams at Alphabet. With access to millions of driving data miles collected from a variety of sensors, our engineers have the opportunity to (1) devise methods for continuous learning from large-scale real-world data, (2) build and train models at scale, (3) analyze real-world behavior and develop systems to manage complex interactions with the environment, and (4) refine models for our onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

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.