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As 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 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…
About the RoleCharacter.AI is seeking a passionate and innovative Software Engineer to join our Safety Engineering team! In this pivotal role, you will collaborate closely with Product, Design, and Trust and Safety operations teams to develop tools and product features that promote a safe, transparent, and engaging user experience. You'll be instrumental in crafting groundbreaking solutions to the unique challenges associated with human-to-AI interaction, applying your technical skills to help shape industry best practices in this evolving field.Key ResponsibilitiesDesign and implement the user interface for our Trust and Safety systems, balancing risk reduction, user experience enhancement, and platform reliability across various features to deliver an exceptional user experience.Gain a deep understanding of our users and their behaviors to create innovative technical solutions that encourage positive interactions on our platform.Partner with other product teams to co-create modular and scalable safety design systems that ensure all product features can be launched safely while maintaining a high launch velocity.Work collaboratively with the Trust & Safety team to understand moderation workflows and develop tools that enhance their decision-making capabilities. Evaluate and integrate third-party solutions when necessary.Collaborate with engineers and Trust & Safety stakeholders to design interfaces and interaction models that incorporate AI-assisted moderation, facilitating effective human-AI collaboration.Utilize user data and insights to enhance our core LLM and other models. Develop frontend systems that visualize the feedback loops between moderation actions and AI training, ensuring that critical data insights are surfaced to support safe and positive user experiences across the platform.
Full-time|On-site|Redwood City, California, United States
Revolution Medicines, Inc. seeks a Safety Scientist based in Redwood City, California. This role centers on supporting the safety and effectiveness of therapies under development. The Safety Scientist works with colleagues from various disciplines to review safety data, conduct evaluations, and assist with regulatory filings. What you will do Work with internal teams to assess and monitor safety profiles of therapies in development. Analyze safety data from both clinical and preclinical studies. Help prepare documents needed for regulatory submissions. Role impact This position plays a part in shaping new therapies and influencing the future of medicine by ensuring careful safety evaluation and strong collaboration across teams.
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 visuals.The Multimodal team specializes in the training, fine-tuning, and deployment of state-of-the-art image, audio, and video generation models that enhance Character.AI's visual interactions. We oversee the entire model lifecycle, encompassing data pipelines, training processes, deployment, and product integration.In this role, you will lead our video model training initiatives, focusing on joint audio-visual generation and transforming images into captivating videos. Collaborating with cross-functional teams in research, product development, and infrastructure, you will explore the frontiers of AI-generated visual content at scale.
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.
Full-time|$164K/yr - $205K/yr|On-site|Redwood City, California, United States
Revolution Medicines develops targeted therapies for patients with RAS-addicted cancers. The company’s pipeline includes several RAS(ON) inhibitors currently in clinical development, such as Daraxonrasib (RMC-6236), Elironrasib (RMC-6291), Zoldonrasib (RMC-9805), and RMC-5127. The team is dedicated to advancing treatments for cancers driven by mutations in the RAS signaling pathway. Role overview The Senior Safety Scientist will join the Global Patient Safety Science group, supporting pharmacovigilance and safety science activities across both early and late-stage clinical programs. This position covers the full portfolio of Revolution Medicines’ investigational therapies. Key responsibilities Oversee safety for clinical studies, including reviewing and authoring protocols, Investigator's Brochures (IBs), Informed Consent Forms (ICFs), and Development Safety Update Reports (DSURs). Conduct medical review of individual case safety reports (ICSRs) and monitor safety surveillance for assigned products. Proactively perform medical safety surveillance during clinical trials to identify and address safety issues. Prepare and present safety data summaries to internal and external stakeholders. Engage in risk management activities, including routine safety data analysis, medical review of ICSRs, and literature review. Share knowledge on drug class safety issues and competitor landscape. Identify potential clinical safety concerns and recommend risk mitigation strategies. Contribute to preparation and maintenance of clinical trial protocols, IBs (including reference safety information), ICFs, DSURs, Risk Management Plans (RMPs), Core Content Development Summaries (CCDS), and product labeling. Review clinical protocols, IBs, ICFs, and related documents to ensure alignment with safety strategies. Location This role is based in Redwood City, California, United States.
Full-time|On-site|Los Angeles, USA; Mercer Island, USA; Redwood City, USA
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.
About Hammerhead AIAt Hammerhead AI, we are pioneering the future of artificial intelligence through innovative orchestration, tackling one of the most critical barriers to AI's power accessibility. Our state-of-the-art platform enhances data center power infrastructure to maximize AI token generation within existing electrical constraints, eliminating the need for new power plants or grid extensions. With our team already optimizing over 8 gigawatts of mission-critical power worldwide, we are seizing a $64 billion per year market opportunity while significantly reducing the environmental impact of AI infrastructure.As part of our dynamic team, you will: Engage at the confluence of AI, energy, and computing to create the next generation of AI infrastructure Collaborate with experts in modern reinforcement learning, AI, IoT, and IIoT software, as well as infrastructure technologies Play a vital role in fostering a more efficient and sustainable future for AI computation. Join a company at the forefront of advanced data center design and operations Enjoy competitive compensation, equity, and benefits in a thriving, mission-driven environment. Learn from a seasoned team with a proven track record of building and selling successful startups.Role OverviewAs a Reinforcement Learning Engineer, you will be the architect behind the core intelligence of Hammerhead’s ORCA platform. Reporting directly to the Head of AI/Reinforcement Learning Engineering, you will be responsible for designing, training, and deploying Orchestrated RL Control Agents that serve as the brain of our system, enabling real-time optimization of power and computational resources across physical data centers. This position is tailored for a hands-on expert passionate about translating advanced RL research into practical applications for complex industrial systems. You will play a crucial role in developing models to control physical assets such as cooling systems and power distribution units, driving substantial efficiency improvements in AI workloads.Key ResponsibilitiesDesign, train, and implement reinforcement learning algorithms for power and compute resource optimization.Develop and maintain RL models that interact with physical data center assets.Collaborate with cross-functional teams to integrate RL solutions into existing infrastructure.Continuously monitor and enhance the performance of deployed RL models.Stay abreast of the latest developments in reinforcement learning and AI technologies.
About DexterityAt Dexterity, we are passionate about the transformational potential of robotics. Our innovative technology empowers individuals to engage in creative and complex problem-solving tasks, allowing robots to take on repetitive and physically demanding work. We are initially focusing on warehouse automation, where the demand for smarter and more resilient supply chains significantly impacts millions of lives and businesses globally.Dexterity’s advanced robotics systems are designed to pick, move, pack, and collaborate with a level of skill, awareness, and learning akin to humans. Our solutions are software-focused and hardware-independent, having already processed over 15 million items in production. Our customer-centric approach drives every decision we make, ensuring that we empower our clients to achieve more with our robotic solutions than they ever imagined possible.As one of the fastest-growing firms in the robotics sector, Dexterity is proudly supported by prestigious investors including Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. Our diverse and multidisciplinary team thrives on a culture of passion, trust, and commitment. Join us at Dexterity and contribute to turning intelligent robots into a reality!About the RoleIn the capacity of a Senior Functional Safety Engineer, you will spearhead the design and verification of functional safety in our robotic systems while ensuring compliance with regulations in North America, Europe, and Japan. We are seeking a candidate with a comprehensive understanding of relevant industry standards, who can harmonize innovative engineering practices with established design and safety principles in this burgeoning field. Your contributions will be pivotal to Dexterity’s growth and global reach, as you design and implement safe and compliant solutions.
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.
Nimble is a pioneering healthtech company dedicated to streamlining access, comprehension, and management of healthcare services. Our journey begins with the goal of establishing the world's most beloved pharmacy business. As a rapidly growing, technology-driven startup, we are committed to enhancing the experiences of both patients and pharmacists. At Nimble, we cultivate a culture of collaboration, transparency, and proactive engagement, enabling us to tackle exciting challenges and achieve remarkable growth.Your name may not start with A(ndrej) or B(oris); but hey, we are not hiring for A/B testing. In the role of AI-Driven Engineer, you will be at the forefront of leveraging AI to revolutionize every aspect of our startup. Your responsibilities will include experimenting with, assessing, and implementing AI-enhanced tools and workflows that empower teams across product development, engineering, data analytics, design, sales, operations, customer success, and product marketing. The AI landscape is continuously evolving — you will be our trailblazer: swiftly prototyping innovative solutions and deploying integrations that provide our teams with a competitive edge. The ideal candidate will possess a solid foundation in software engineering, a profound curiosity about the AI ecosystem, and a passion for equipping every team with the best tools available. Our engineering culture is built on mutual trust and a lack of egos. We thrive on collaboration and face the challenges of a rapidly scaling business together. Our company values include empathy, simplicity, autonomy, leadership, ownership, insatiable curiosity, a bias for action, and mentorship, all within a highly cooperative environment.
About Hammerhead AIAt Hammerhead AI, we are pioneering the future of artificial intelligence through advanced orchestration that addresses critical challenges in AI's access to power. Our innovative platform enhances data center power infrastructure, enabling maximum AI token generation within existing electrical constraints, all without necessitating new power plants or grid extensions. With over 8 gigawatts of mission-critical power optimized globally, we are tackling a staggering $64 billion annual market opportunity while significantly lowering the environmental impact of AI infrastructure.As part of our team, you will: Engage at the forefront of AI, energy, and computing to shape the next generation of AI infrastructure. Collaborate with industry experts specializing in modern Reinforcement Learning (RL), AI, IoT, and IIoT technologies. Play a vital role in creating a more sustainable future for AI computing. Join a trailblazing company redefining modern data center design and operations. Enjoy competitive compensation, equity, and benefits within a high-growth, mission-driven environment. Gain insights from a seasoned team with a history of building and selling successful startups.
Full-time|Hybrid|Redwood City, CA (Hybrid) or Remote (USA)
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
Hammerhead AI develops orchestration solutions that enhance power efficiency for artificial intelligence. The company’s platform upgrades data center power infrastructure, allowing AI token generation to be optimized within current electrical limits. This method helps avoid building new power plants or expanding the grid. Hammerhead AI has optimized more than 8 gigawatts of mission-critical power across the globe, serving a $64 billion annual market and working to reduce the environmental footprint of AI infrastructure. Role overview The Business Development Lead plays a key part in driving adoption of Hammerhead AI’s compute solutions. This is a hands-on position that shapes commercial strategy, influences how the company is positioned in the market, and supports early revenue growth. The role reports directly to the Head of Go-To-Market (GTM). What you will do Develop and refine Hammerhead AI’s commercial strategy, building a prioritized go-to-market plan. Manage the sales pipeline from initial contact through technical discovery, solution design, proposal, and closing. Monitor trends in AI compute demand, GPU supply, power constraints, and data center deployment models, turning these insights into actionable strategies. Location This position is based in Redwood City.
About the RoleJoin our innovative Safety Engineering team at Character.AI as a talented Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and scaling advanced backend systems while applying machine learning techniques to address critical safety and integrity challenges. You will be at the forefront of developing innovative solutions to navigate the complex safety landscape associated with human-AI interactions, utilizing your technical skills to help establish industry best practices in this rapidly evolving domain. This high-impact position will enable you to provide technical leadership, foster innovation, and enhance the trustworthiness of our platform.What You'll DoArchitect & Build: Design, develop, and maintain highly scalable, resilient, and efficient backend systems that support our integrity and safety functionalities.Lead Complex Solutions: Spearhead the technical design and implementation of sophisticated backend solutions aimed at detecting, preventing, and mitigating various integrity risks, including traditional challenges like content classification and spam, as well as emerging threats associated with Generative AI.Apply Machine Learning: Conceptualize, develop, deploy, and refine machine learning models and algorithms to tackle complex integrity issues, including content classification, anomaly detection, risk scoring, and behavior analysis, while ensuring robust safeguards for Generative AI systems.Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, particularly for Generative AI products.Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, focusing on addressing Generative AI safety concerns in alignment with company objectives.Mentorship & Leadership: Provide technical guidance and mentorship to fellow engineers within the team and across the organization, fostering a culture of engineering excellence.
About the RoleJoin Character as a Staff Software Engineer on our AI Platform, where you will engage in a dynamic array of projects at the intersection of software engineering and AI data. Your role will initially focus on three pivotal areas:Assist our research team by creating the essential tools and datasets to train cutting-edge models.Activate our "data flywheel" by developing data pipelines and collaborating closely with ML researchers to ensure our AI models are continually refined and aligned with human feedback.Enhance our data infrastructure, utilizing technologies such as Spark, Beam, and GCP.
Full-time|On-site|Redwood City, California, United States
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.
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…
About the RoleCharacter.AI is seeking a passionate and innovative Software Engineer to join our Safety Engineering team! In this pivotal role, you will collaborate closely with Product, Design, and Trust and Safety operations teams to develop tools and product features that promote a safe, transparent, and engaging user experience. You'll be instrumental in crafting groundbreaking solutions to the unique challenges associated with human-to-AI interaction, applying your technical skills to help shape industry best practices in this evolving field.Key ResponsibilitiesDesign and implement the user interface for our Trust and Safety systems, balancing risk reduction, user experience enhancement, and platform reliability across various features to deliver an exceptional user experience.Gain a deep understanding of our users and their behaviors to create innovative technical solutions that encourage positive interactions on our platform.Partner with other product teams to co-create modular and scalable safety design systems that ensure all product features can be launched safely while maintaining a high launch velocity.Work collaboratively with the Trust & Safety team to understand moderation workflows and develop tools that enhance their decision-making capabilities. Evaluate and integrate third-party solutions when necessary.Collaborate with engineers and Trust & Safety stakeholders to design interfaces and interaction models that incorporate AI-assisted moderation, facilitating effective human-AI collaboration.Utilize user data and insights to enhance our core LLM and other models. Develop frontend systems that visualize the feedback loops between moderation actions and AI training, ensuring that critical data insights are surfaced to support safe and positive user experiences across the platform.
Full-time|On-site|Redwood City, California, United States
Revolution Medicines, Inc. seeks a Safety Scientist based in Redwood City, California. This role centers on supporting the safety and effectiveness of therapies under development. The Safety Scientist works with colleagues from various disciplines to review safety data, conduct evaluations, and assist with regulatory filings. What you will do Work with internal teams to assess and monitor safety profiles of therapies in development. Analyze safety data from both clinical and preclinical studies. Help prepare documents needed for regulatory submissions. Role impact This position plays a part in shaping new therapies and influencing the future of medicine by ensuring careful safety evaluation and strong collaboration across teams.
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 visuals.The Multimodal team specializes in the training, fine-tuning, and deployment of state-of-the-art image, audio, and video generation models that enhance Character.AI's visual interactions. We oversee the entire model lifecycle, encompassing data pipelines, training processes, deployment, and product integration.In this role, you will lead our video model training initiatives, focusing on joint audio-visual generation and transforming images into captivating videos. Collaborating with cross-functional teams in research, product development, and infrastructure, you will explore the frontiers of AI-generated visual content at scale.
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.
Full-time|$164K/yr - $205K/yr|On-site|Redwood City, California, United States
Revolution Medicines develops targeted therapies for patients with RAS-addicted cancers. The company’s pipeline includes several RAS(ON) inhibitors currently in clinical development, such as Daraxonrasib (RMC-6236), Elironrasib (RMC-6291), Zoldonrasib (RMC-9805), and RMC-5127. The team is dedicated to advancing treatments for cancers driven by mutations in the RAS signaling pathway. Role overview The Senior Safety Scientist will join the Global Patient Safety Science group, supporting pharmacovigilance and safety science activities across both early and late-stage clinical programs. This position covers the full portfolio of Revolution Medicines’ investigational therapies. Key responsibilities Oversee safety for clinical studies, including reviewing and authoring protocols, Investigator's Brochures (IBs), Informed Consent Forms (ICFs), and Development Safety Update Reports (DSURs). Conduct medical review of individual case safety reports (ICSRs) and monitor safety surveillance for assigned products. Proactively perform medical safety surveillance during clinical trials to identify and address safety issues. Prepare and present safety data summaries to internal and external stakeholders. Engage in risk management activities, including routine safety data analysis, medical review of ICSRs, and literature review. Share knowledge on drug class safety issues and competitor landscape. Identify potential clinical safety concerns and recommend risk mitigation strategies. Contribute to preparation and maintenance of clinical trial protocols, IBs (including reference safety information), ICFs, DSURs, Risk Management Plans (RMPs), Core Content Development Summaries (CCDS), and product labeling. Review clinical protocols, IBs, ICFs, and related documents to ensure alignment with safety strategies. Location This role is based in Redwood City, California, United States.
Full-time|On-site|Los Angeles, USA; Mercer Island, USA; Redwood City, USA
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.
About Hammerhead AIAt Hammerhead AI, we are pioneering the future of artificial intelligence through innovative orchestration, tackling one of the most critical barriers to AI's power accessibility. Our state-of-the-art platform enhances data center power infrastructure to maximize AI token generation within existing electrical constraints, eliminating the need for new power plants or grid extensions. With our team already optimizing over 8 gigawatts of mission-critical power worldwide, we are seizing a $64 billion per year market opportunity while significantly reducing the environmental impact of AI infrastructure.As part of our dynamic team, you will: Engage at the confluence of AI, energy, and computing to create the next generation of AI infrastructure Collaborate with experts in modern reinforcement learning, AI, IoT, and IIoT software, as well as infrastructure technologies Play a vital role in fostering a more efficient and sustainable future for AI computation. Join a company at the forefront of advanced data center design and operations Enjoy competitive compensation, equity, and benefits in a thriving, mission-driven environment. Learn from a seasoned team with a proven track record of building and selling successful startups.Role OverviewAs a Reinforcement Learning Engineer, you will be the architect behind the core intelligence of Hammerhead’s ORCA platform. Reporting directly to the Head of AI/Reinforcement Learning Engineering, you will be responsible for designing, training, and deploying Orchestrated RL Control Agents that serve as the brain of our system, enabling real-time optimization of power and computational resources across physical data centers. This position is tailored for a hands-on expert passionate about translating advanced RL research into practical applications for complex industrial systems. You will play a crucial role in developing models to control physical assets such as cooling systems and power distribution units, driving substantial efficiency improvements in AI workloads.Key ResponsibilitiesDesign, train, and implement reinforcement learning algorithms for power and compute resource optimization.Develop and maintain RL models that interact with physical data center assets.Collaborate with cross-functional teams to integrate RL solutions into existing infrastructure.Continuously monitor and enhance the performance of deployed RL models.Stay abreast of the latest developments in reinforcement learning and AI technologies.
About DexterityAt Dexterity, we are passionate about the transformational potential of robotics. Our innovative technology empowers individuals to engage in creative and complex problem-solving tasks, allowing robots to take on repetitive and physically demanding work. We are initially focusing on warehouse automation, where the demand for smarter and more resilient supply chains significantly impacts millions of lives and businesses globally.Dexterity’s advanced robotics systems are designed to pick, move, pack, and collaborate with a level of skill, awareness, and learning akin to humans. Our solutions are software-focused and hardware-independent, having already processed over 15 million items in production. Our customer-centric approach drives every decision we make, ensuring that we empower our clients to achieve more with our robotic solutions than they ever imagined possible.As one of the fastest-growing firms in the robotics sector, Dexterity is proudly supported by prestigious investors including Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. Our diverse and multidisciplinary team thrives on a culture of passion, trust, and commitment. Join us at Dexterity and contribute to turning intelligent robots into a reality!About the RoleIn the capacity of a Senior Functional Safety Engineer, you will spearhead the design and verification of functional safety in our robotic systems while ensuring compliance with regulations in North America, Europe, and Japan. We are seeking a candidate with a comprehensive understanding of relevant industry standards, who can harmonize innovative engineering practices with established design and safety principles in this burgeoning field. Your contributions will be pivotal to Dexterity’s growth and global reach, as you design and implement safe and compliant solutions.
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.
Nimble is a pioneering healthtech company dedicated to streamlining access, comprehension, and management of healthcare services. Our journey begins with the goal of establishing the world's most beloved pharmacy business. As a rapidly growing, technology-driven startup, we are committed to enhancing the experiences of both patients and pharmacists. At Nimble, we cultivate a culture of collaboration, transparency, and proactive engagement, enabling us to tackle exciting challenges and achieve remarkable growth.Your name may not start with A(ndrej) or B(oris); but hey, we are not hiring for A/B testing. In the role of AI-Driven Engineer, you will be at the forefront of leveraging AI to revolutionize every aspect of our startup. Your responsibilities will include experimenting with, assessing, and implementing AI-enhanced tools and workflows that empower teams across product development, engineering, data analytics, design, sales, operations, customer success, and product marketing. The AI landscape is continuously evolving — you will be our trailblazer: swiftly prototyping innovative solutions and deploying integrations that provide our teams with a competitive edge. The ideal candidate will possess a solid foundation in software engineering, a profound curiosity about the AI ecosystem, and a passion for equipping every team with the best tools available. Our engineering culture is built on mutual trust and a lack of egos. We thrive on collaboration and face the challenges of a rapidly scaling business together. Our company values include empathy, simplicity, autonomy, leadership, ownership, insatiable curiosity, a bias for action, and mentorship, all within a highly cooperative environment.
About Hammerhead AIAt Hammerhead AI, we are pioneering the future of artificial intelligence through advanced orchestration that addresses critical challenges in AI's access to power. Our innovative platform enhances data center power infrastructure, enabling maximum AI token generation within existing electrical constraints, all without necessitating new power plants or grid extensions. With over 8 gigawatts of mission-critical power optimized globally, we are tackling a staggering $64 billion annual market opportunity while significantly lowering the environmental impact of AI infrastructure.As part of our team, you will: Engage at the forefront of AI, energy, and computing to shape the next generation of AI infrastructure. Collaborate with industry experts specializing in modern Reinforcement Learning (RL), AI, IoT, and IIoT technologies. Play a vital role in creating a more sustainable future for AI computing. Join a trailblazing company redefining modern data center design and operations. Enjoy competitive compensation, equity, and benefits within a high-growth, mission-driven environment. Gain insights from a seasoned team with a history of building and selling successful startups.
Full-time|Hybrid|Redwood City, CA (Hybrid) or Remote (USA)
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
Hammerhead AI develops orchestration solutions that enhance power efficiency for artificial intelligence. The company’s platform upgrades data center power infrastructure, allowing AI token generation to be optimized within current electrical limits. This method helps avoid building new power plants or expanding the grid. Hammerhead AI has optimized more than 8 gigawatts of mission-critical power across the globe, serving a $64 billion annual market and working to reduce the environmental footprint of AI infrastructure. Role overview The Business Development Lead plays a key part in driving adoption of Hammerhead AI’s compute solutions. This is a hands-on position that shapes commercial strategy, influences how the company is positioned in the market, and supports early revenue growth. The role reports directly to the Head of Go-To-Market (GTM). What you will do Develop and refine Hammerhead AI’s commercial strategy, building a prioritized go-to-market plan. Manage the sales pipeline from initial contact through technical discovery, solution design, proposal, and closing. Monitor trends in AI compute demand, GPU supply, power constraints, and data center deployment models, turning these insights into actionable strategies. Location This position is based in Redwood City.
About the RoleJoin our innovative Safety Engineering team at Character.AI as a talented Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and scaling advanced backend systems while applying machine learning techniques to address critical safety and integrity challenges. You will be at the forefront of developing innovative solutions to navigate the complex safety landscape associated with human-AI interactions, utilizing your technical skills to help establish industry best practices in this rapidly evolving domain. This high-impact position will enable you to provide technical leadership, foster innovation, and enhance the trustworthiness of our platform.What You'll DoArchitect & Build: Design, develop, and maintain highly scalable, resilient, and efficient backend systems that support our integrity and safety functionalities.Lead Complex Solutions: Spearhead the technical design and implementation of sophisticated backend solutions aimed at detecting, preventing, and mitigating various integrity risks, including traditional challenges like content classification and spam, as well as emerging threats associated with Generative AI.Apply Machine Learning: Conceptualize, develop, deploy, and refine machine learning models and algorithms to tackle complex integrity issues, including content classification, anomaly detection, risk scoring, and behavior analysis, while ensuring robust safeguards for Generative AI systems.Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, particularly for Generative AI products.Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, focusing on addressing Generative AI safety concerns in alignment with company objectives.Mentorship & Leadership: Provide technical guidance and mentorship to fellow engineers within the team and across the organization, fostering a culture of engineering excellence.
About the RoleJoin Character as a Staff Software Engineer on our AI Platform, where you will engage in a dynamic array of projects at the intersection of software engineering and AI data. Your role will initially focus on three pivotal areas:Assist our research team by creating the essential tools and datasets to train cutting-edge models.Activate our "data flywheel" by developing data pipelines and collaborating closely with ML researchers to ensure our AI models are continually refined and aligned with human feedback.Enhance our data infrastructure, utilizing technologies such as Spark, Beam, and GCP.
Full-time|On-site|Redwood City, California, United States
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.
