Multimodal Research Engineer

About the Role and TeamAs a Multimodal Research Engineer at Character.AI, you'll play a pivotal role in pioneering advanced video and image generation models, breathing life into AI characters in innovative ways. Your contributions will significantly influence the daily interactions of millions of users, enhancing their experiences with rich and engaging AI …

About the Role and TeamAs a Research Engineer at Character, you will play a critical role in addressing one of the most pressing challenges in artificial intelligence: ensuring safety and alignment. Your contributions will be vital in identifying and mitigating the risks associated with advanced AI systems, conducting essential research to enhance the safety of our models, and tackling fundamental technical challenges related to AI alignment—ensuring our models align with human values and intentions.The Safety team is committed to innovating and applying techniques that enhance the robustness, honesty, and harmlessness of our models. In this position, you will connect theoretical research with practical applications, producing high-quality code to test hypotheses and directly integrating effective safety solutions into our products. Your research will safeguard millions of users while advancing the scientific community's understanding of how to create safe and beneficial AI.

About the Role and TeamAs a Research Engineer on the ML Systems team at Character.AI, you will engage in pioneering work on advanced machine learning training and inference systems. Your expertise will be instrumental in optimizing the performance and efficiency of our GPU clusters, as well as creating innovative technologies that enhance leading consumer AI models. Your contributions will ensure our systems can handle over 20K queries per second in production utilizing large language models. At Character.AI, your creativity and skills will be pivotal in ushering in an era where AI technology becomes a daily companion rather than just a tool.What You'll DoThe ML Systems team focuses on researching and deploying systems that maximize GPU usage for AI-driven products.In this role, you will collaborate across teams and technologies to enhance our training performance and inference runtime, directly influencing the conversational experiences of millions of users daily.Examples of projects you may work on include:Crafting efficient Triton kernels and optimizing them for our specific models and hardwareDesigning prefix-aware routing algorithms to elevate serving cache hit ratesTraining and distilling large language models to reduce latency while maintaining accuracy and engagementBuilding a robust and scalable distributed RLHF stack that supports model innovationsDeveloping systems for efficient multimodal (image and video generation) model training and inferenceWho You AreHolding a PhD (or equivalent) in a relevant field with research experienceProficient in writing clear and maintainable production system codePossessing a strong grasp of contemporary machine learning methodologies (including reinforcement learning and transformers)Demonstrating a proven track record of remarkable research or innovative ML systems projectsComfortable developing model code (in PyTorch) for training or inference tasksNice to HaveExperience in training large models in distributed environments utilizing PyTorch distributed, DeepSpeed, or MegatronFamiliarity with GPUs and collectives (training, serving, debugging) and writing kernels

Be a Pioneer in the Future of Home Robotics with Us!At Sunday, we are on a mission to revolutionize home life by developing personal robots that liberate individuals from mundane tasks. Our ambitious vision is to make versatile robots accessible to everyone, giving families back precious time to enjoy what they love.After 18 months of dedicated team-building, securing investments, and validating our groundbreaking technology, we are looking for enthusiastic individuals to join us in our next growth phase. If you’re eager to contribute your expertise to the cutting edge of robotics, we invite you to connect with us.Your Role and ResponsibilitiesIn our quest to create home robots, we are addressing one of the most significant challenges in robotics: achieving dexterous and safe mobile manipulation in dynamic environments. This requires us to innovate across all levels of the robotics stack. By training advanced AI models that utilize our extensive, high-quality real-world data collection system, we aim to create a new category of consumer hardware that enhances everyday life. As a valued member of our small, dynamic team, you will significantly influence our technology and product development, advancing the field of embodied AI and ultimately restoring countless hours to our users.As a Machine Learning Research Engineer, you will focus on developing the software and algorithms that empower our robots to perform complex manipulation tasks within home settings. You'll harness our unique in-the-wild data collection capabilities and our expanding fleet of robots to continuously enhance functionalities and robustness across various tasks and environments.Key ResponsibilitiesDesign and implement cutting-edge robot learning algorithms for manipulation and control tasks.Utilize large-scale real-world data to create adaptable robot behaviors.Manage the complete process from task definition and data curation to model training, evaluation, and deployment on robots.Collaborate with a multidisciplinary robotics team to design a consumer-friendly personal robot.Develop maintainable, high-quality code for both research and production environments.Your Qualifications3+ years of experience in machine learning focused on robotics or related fields.Strong programming skills in languages such as Python, C++, or similar.Expertise in developing and deploying machine learning models.Familiarity with robotics frameworks and tools.A passion for innovation and a collaborative spirit.

About KariusKarius, Inc. is a pioneering life science company specializing in clinical metagenomics, dedicated to enhancing patient care through cutting-edge microbial insights. We strive to revolutionize diagnostic science and technology to improve the diagnosis and treatment of infectious diseases. Leveraging genomics and artificial intelligence, we aim to transform the diagnostic landscape for infectious diseases. Our innovative platform offers unparalleled diagnostic insights by detecting microbial cell-free DNA in the bloodstream, enabling physicians to make swift and informed treatment decisions. Position SummaryAs a Senior Clinical Research Associate, you will oversee clinical site management and monitoring activities to ensure compliance with study protocols, Good Clinical Practice (GCP) guidelines, and relevant regulations. This role involves performing both on-site and remote monitoring, reviewing monitoring reports and site data for quality and trends, aiding in issue identification and resolution at the site level, and collaborating closely with the clinical study team. The Senior CRA may also mentor junior CRAs, sharing best practices to ensure high-quality monitoring and successful execution of clinical trials. Why Should You Join Us?Join Karius as we tackle infectious diseases through innovations in genomic sequencing and machine learning. Our platform is currently delivering groundbreaking insights into the microbial landscape, equipping clinicians with a comprehensive test that identifies over a thousand pathogens directly from blood, thus accelerating the development of therapeutic solutions across the industry. The advanced products we offer empower physicians to provide better care to patients who have previously been inadequately treated. You will witness firsthand how your contributions can have a life-changing impact on patients at scale. Reports to: Director, Clinical Operations

Role overview Riot Games is seeking a Staff Research Scientist to join the Technology Research team. This position is available in Los Angeles, Mercer Island, or Redwood City. The focus is on advancing machine learning, artificial intelligence, experimental design, and systems engineering to improve player experiences across Riot’s games. Key responsibilities Research and develop world models, learned representations that can understand, predict, and simulate complex game environments. Create models that capture the structure and dynamics of Riot’s games, including state changes, player actions, and the impact of design updates. Lead applied research to support scalable simulations for agent training, automated game balancing, synthetic data generation, and new language-driven game interactions. Build prototypes that turn advances in predictive simulation, latent state representation, and environment modeling into practical tools for game teams. Work directly with game teams to ensure research addresses real gameplay needs. Collaborate with colleagues across Technology Research to integrate world models into game AI and natural language processing projects. About the Technology Research team This group specializes in applied research aimed at accelerating the creation of standout player experiences. The team values hands-on experimentation and works closely with game developers to bring research breakthroughs into actual gameplay.

About the Role and TeamAs a Research Engineer on the Post-Training team at Character.AI, you will immerse yourself in the dynamic field of fine-tuning AI models. Your primary focus will be on enhancing their performance and ensuring adherence to the highest standards of quality and efficiency. Your contributions will play a crucial role in our innovative advancements in AI technology, fostering an era where technology transcends mere tools and becomes a reliable companion in our everyday lives. Your creativity and expertise will serve as a driving force for transformative change in an AI-driven future.The Post-Training team specializes in evolving our robust pretrained language models into intelligent and engaging products.In your role as a Post-Training Researcher, you will collaborate with cross-functional teams and utilize our technical stack to enhance model performance and refine training methodologies, including data, compute, and algorithms. You will have the opportunity to shape the conversational experiences of millions of users daily.

Revolution Medicines is seeking a highly skilled and experienced Senior Director of Research Informatics to lead our research informatics initiatives. In this critical role, you will oversee the integration of informatics solutions within our research framework, ensuring data-driven decision-making across our innovative drug discovery processes. Your expertise will be instrumental in enhancing our research capabilities and advancing our mission to improve the lives of patients.

Join Revolution Medicines as an Associate Director of Integrated Research Management, where you will play a pivotal role in driving innovative research strategies and enhancing operational efficiencies. Your leadership will contribute to groundbreaking advancements in drug discovery and development.

Join our dynamic team as a Senior Research Scientist where your expertise in bioanalytical assays will be pivotal in supporting our discovery biologics portfolio. You will be responsible for the design and development of bioanalytical assays and conducting thorough sample analyses for various study samples. Utilizing cutting-edge platforms such as Gyrolab, MSD, and ELISA, you will play a crucial role in pharmacokinetic (PK) studies focused on large molecule projects.Your role will require you to independently execute complex experiments while maintaining meticulous attention to detail and comprehensive documentation. Strong written and verbal communication skills are essential to effectively convey findings and collaborate with team members.

Join Revolution Medicines as a Scientific Writer specializing in Integrated Research Management. In this vital role, you will be responsible for creating, editing, and managing high-quality scientific documents that communicate our research findings effectively to a variety of audiences. Your expertise will contribute to advancing our mission of developing innovative therapies for cancer patients.

Join us in creating a safer world, one incident at a time.At Ambient.ai, we are at the forefront of AI-driven physical security, empowering leading enterprises to mitigate risks, enhance operational efficiency, and derive actionable insights. Our innovative platform is trusted by seven of the top 10 technology companies in the U.S. and numerous Fortune 500 firms, revolutionizing the way they approach physical security.Our cutting-edge solution integrates seamlessly with existing camera and sensor systems, utilizing advanced AI and computer vision to enable real-time monitoring and proactive threat detection. By significantly reducing false alarms by over 95%, Ambient.ai allows security teams to concentrate on genuine threats and avert incidents before they arise.Founded in 2017 and supported by renowned investors such as Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company dedicated to making every security incident preventable.Interested in learning more? Connect with us on LinkedIn and YouTubeAbout the Position:Ambient.ai is seeking an innovative Applied Research Scientist to lead the development of next-gen foundation models for computer vision. In this pivotal role, you will collaborate with a talented team to create multimodal models that achieve state-of-the-art performance on real-world vision benchmarks. You will take charge of the entire model development cycle, from pre-training and fine-tuning on image-language datasets to deploying models through distillation and compression techniques. This hands-on, cross-functional role offers a unique opportunity to directly influence our mission of preventing security incidents.Key Responsibilities:Develop & Optimize VLMs: Create and enhance transformer-based vision-language models that comprehend images, videos, and text, optimizing for real-time inference.Pre-training & Fine-tuning: Manage the complete training pipeline—from pre-training on image-text data to fine-tuning tailored for Ambient.ai’s physical security context and applications.Model Compression & Optimization: Implement techniques such as distillation, quantization, and pruning to minimize model size and latency, facilitating efficient edge deployment.Leverage Open-Source & Innovate: Utilize and enhance leading open-source models. Prototype novel architectures and training methodologies to propel Ambient.ai’s multimodal AI research forward.Collaborate: Work closely with cross-functional teams to integrate models into production and ensure alignment with our strategic objectives.

About DatologyAIAt DatologyAI, we believe that the quality of training data is paramount to building effective models. Unfortunately, a significant portion of training compute is squandered on data that has already been learned, is irrelevant, or even detrimental, leading to suboptimal models that are costly to train and deploy.We have developed an advanced data curation suite that automates the curation and optimization of petabytes of data, enabling the creation of high-quality training datasets. By utilizing curated data, you can expect training times to be reduced by 7-40 times depending on the use case, achieve model performance equivalent to training on over 10 times more raw data without incurring extra costs, and empower smaller models with fewer than half the parameters to outperform larger counterparts while significantly lowering deployment costs.With a total funding of $57.5M from notable investors like Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and Amazon, as well as AI luminaries including Geoff Hinton and Yann LeCun, our team is at the forefront of data research and engineering, dedicated to simplifying the process of data curation for anyone aiming to train their own models.This position is located in Redwood City, CA, and requires in-office attendance four days a week.

Join dyna-robotics as an Electromechanical Engineer in our cutting-edge Robotics Research and Development team. You will play a pivotal role in the design, development, and testing of advanced robotic systems. Your expertise will contribute to innovative solutions that drive our mission of transforming robotics technology.

As the Senior Writer, Editor & Research Lead at Box, Inc., you will play a pivotal role in shaping our content strategy and ensuring the delivery of high-quality written materials. You will lead editorial projects, conduct comprehensive research, and collaborate with cross-functional teams to create engaging content that resonates with our audience. This role demands exceptional writing skills, an editorial mindset, and a passion for uncovering insights that drive our messaging.

DatologyAI develops tools that improve machine learning model performance by focusing on the quality of training data. Many organizations invest heavily in processing data that can be redundant or irrelevant, which often leads to costly models that do not perform well in real-world scenarios. To address this, DatologyAI offers a data curation suite that automatically selects and optimizes large datasets. With this approach, organizations can significantly reduce training times, sometimes by a factor of 7 to 40, while training smaller models that outperform much larger ones. Curated data can also lower deployment costs and, in some cases, allow models to achieve results similar to having access to ten times more raw data, using less than half the parameters. The company has raised $57.5 million across two funding rounds. Backers include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and prominent AI researchers such as Geoff Hinton, Yann LeCun, and Jeff Dean. The team brings together expertise in data optimization research and practical engineering to make advanced data curation widely accessible. Role overview This Research Scientist position is based in Redwood City, CA. The team collaborates in the office four days a week.

Corcept Therapeutics has focused on advancing the science of cortisol for over 25 years. The company develops therapies for hypercortisolism and cancer, building a portfolio of more than 1,000 proprietary selective cortisol modulators and glucocorticoid receptor antagonists. Ongoing clinical trials target conditions such as hypercortisolism, solid tumors, ALS, and liver disease. Corcept is headquartered in Redwood City, California. Role overview The Senior Clinical Research Associate (Sr CRA) manages the clinical operations of small to medium-sized studies independently. For larger studies, the Sr CRA provides significant support under supervision. This position collaborates with multidisciplinary teams, external vendors, study sites, and contract research organizations (CROs) as needed. The main objective is to ensure that all activities align with study protocols and clinical goals. What you will do Implement and monitor clinical study activities Work closely with internal teams, vendors, study sites, and CROs Maintain compliance with Good Clinical Practices (GCPs), Standard Operating Procedures (SOPs), and study protocols Location and schedule This is a hybrid role based in Redwood City, California. On-site presence is required at least three days per week.

Revolution Medicines is hiring a Director of Health Economics and Outcomes Research (HEOR) to focus on lung diseases. This senior position leads the design and execution of HEOR strategies that highlight the value of new therapies. Role overview The Director will oversee the development and implementation of HEOR initiatives across the entire product lifecycle. Close collaboration with clinical, regulatory, and commercial teams is essential to ensure that HEOR activities are integrated and aligned with broader organizational goals. Key responsibilities Lead and manage a team of HEOR professionals Guide the creation of real-world evidence (RWE) to support product value Develop and refine health economic models for lung disease therapies Ensure HEOR strategies are coordinated with clinical, regulatory, and commercial functions What you will bring Extensive experience in health economics and outcomes research, especially in lung diseases Strong leadership skills and a track record of managing teams Ability to drive cross-functional projects and communicate complex evidence to diverse stakeholders This role offers the chance to shape research that may improve patient care and outcomes in the field of lung disease.

Revolution Medicines is seeking a highly skilled and motivated Senior Research Associate to join our dynamic team focused on drug product development. In this pivotal role, you will contribute to the advancement of our innovative therapeutic candidates through rigorous scientific research and development.

Join us in creating a safer world, one incident at a time.At Ambient.ai, we are pioneering a state-of-the-art AI-driven physical security platform that empowers leading enterprises to minimize risk, enhance operational efficiency, and extract vital insights. Our innovative solutions are trusted by seven of the top 10 U.S. technology companies and numerous Fortune 500 organizations to modernize their security infrastructure.Our advanced AI and computer vision technology seamlessly integrates with existing camera and sensor systems, facilitating real-time monitoring and proactive threat detection. By reducing false alarms by more than 95%, we enable security teams to concentrate on genuine threats and take preventive measures before incidents occur.Founded in 2017 and supported by industry leaders such as Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company committed to making every security incident preventable.Eager to learn more? Connect with us on LinkedIn and YouTubeAbout the Role:We are seeking a Senior Applied Research Scientist to develop the next generation of foundation models tailored for computer vision. You will be part of a dynamic team responsible for creating multimodal models that achieve state-of-the-art performance on real-world vision benchmarks. This role requires ownership over the entire model development lifecycle, from pre-training and fine-tuning on image-language datasets to implementing distillation and compression techniques for deployment. This hands-on, cross-functional position will significantly contribute to our mission of preventing security incidents.Key Responsibilities:Develop & Optimize Vision-Language Models: Design and refine transformer-based models to interpret images, videos, and text, ensuring real-time inference performance.Pre-training & Fine-tuning: Manage the complete training pipeline, from pre-training on image-text data to fine-tuning for Ambient.ai’s specific security needs.Model Compression & Optimization: Utilize techniques such as distillation, quantization, and pruning to enhance model efficiency and reduce deployment latency.Innovate with Open-Source: Leverage and extend cutting-edge open-source models. Prototype new architectures and training methodologies to propel Ambient.ai’s multimodal AI advancements.