AI Senior Scientist at Vivodyne | San Francisco, CA

Vivodyne: Pioneering Human Data Generation Pre-Clinical TrialsAt Vivodyne, we revolutionize the discovery, design, and development of human therapeutics by utilizing large-scale, lab-grown human organ tissues. Our innovative approach integrates cutting-edge biology, robotics, and artificial intelligence, allowing us to identify and validate novel therapeutic targets while minimizing risks associated with new therapeutic assets. By generating clinically translatable multi-omic data from our proprietary human organ tissues, we produce more human data than all U.S. clinical trials combined. Backed by elite venture funds, we collaborate with leading multinational pharmaceutical companies to enhance drug discovery and significantly reduce animal testing burdens.www.vivodyne.comRole OverviewThe AI Team at Vivodyne faces some of the most compelling challenges in science and engineering. With access to extensive and rich human tissue imagery, we are pushing the boundaries of artificial intelligence in biological applications. We are developing a suite of AI technologies aimed at automating the discovery, development, and de-risking of novel therapies through our unique technology platform, including single-cell 3D phenomics/machine vision, multimodal (multi-omic) translation, and reinforcement learning for robotic planning and study design.As an AI Senior Scientist, you will apply your expertise in large-scale model development (including Transformer, Diffusion, and hybrid architectures) and Generative AI solutions to transform our advanced imaging and multi-omics datasets into groundbreaking scientific insights. You will work closely with biologists, engineers, and AI specialists to create robust, production-ready algorithms and models that facilitate Vivodyne's impactful discoveries.This position requires on-site work at our Brisbane, California office.

Join the Center for AI Safety (CAIS), a premier research and advocacy organization dedicated to addressing the complex societal challenges posed by artificial intelligence (AI). Our mission focuses on mitigating large-scale risks associated with AI through groundbreaking technical research, strategic initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund. As a Senior Research Scientist at CAIS, you will spearhead and execute transformative research aimed at enhancing the safety and reliability of advanced AI systems. You will take ownership of significant open challenges, driving them to successful publication. We seek individuals who set a high standard for research excellence and contribute innovative ideas to elevate our collective understanding. Your role will involve designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and translating findings into publishable research. Close collaboration with CAIS researchers and external academic and industry partners will be essential, utilizing our compute cluster for extensive training and evaluation projects. Research areas include AI honesty, robustness, transparency, and mitigating trojan/backdoor behaviors, all geared towards reducing real-world risks from sophisticated AI systems.

At Sciforium, we are at the forefront of AI infrastructure, creating next-generation multimodal AI models and a proprietary high-efficiency serving platform. With substantial backing from AMD, our team is rapidly expanding to develop the complete stack necessary for cutting-edge AI models and real-time applications.About the RoleWe are on the lookout for a talented Senior Research Scientist with expertise in advanced AI and machine learning. This role entails spearheading innovative research projects focusing on large language models, generative media, model architecture, optimization, and scalable training systems. You will engage directly with contemporary ML frameworks, publish original research, and collaborate closely with engineering teams to transition impactful models into production. This position is perfect for a driven researcher excited about pioneering breakthroughs in AI.What You'll DoLead research initiatives in advanced machine learning topics such as LLMs, generative AI, foundational modeling, optimization strategies, diffusion models, and novel Transformer architectures.Design, implement, and assess new ML algorithms using frameworks like PyTorch and JAX.Conduct large-scale distributed training experiments utilizing multi-GPU/TPU systems and cutting-edge compute infrastructure.Enhance performance through debugging frameworks, optimizing speed, and refining training pipelines.Generate high-quality research outputs including academic papers, internal reports, patents, and reproducible code.Work collaboratively with engineering and product teams to convert research prototypes into robust production systems.Stay updated with the latest research advancements to incorporate state-of-the-art techniques into Sciforium's AI roadmap.Mentor junior researchers and actively contribute to fostering a world-class AI research culture.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

Our MissionAt Altos Labs, we are dedicated to revitalizing cell health and resilience through innovative cell rejuvenation techniques to reverse disease, injury, and the disabilities that arise throughout life.Discover more about our vision at altoslabs.com.Our ValuesOur core value is simple yet powerful: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe understand that diverse perspectives are crucial for scientific breakthroughs and exploration. At Altos, exceptional scientists and industry leaders collaborate from around the globe to drive our shared mission forward. We prioritize a culture of belonging, ensuring that every employee feels valued for their unique contributions. We are all responsible for maintaining a diverse and inclusive workplace.Your Contributions to AltosJoin Altos Labs in creating a premier AI ecosystem aimed at addressing the most intricate challenges in human biology. You will be instrumental in designing and developing high-performance, scalable solutions that integrate high-dimensional biomedical imaging with molecular and linguistic data.Your role will involve implementing large-scale multimodal data fusion, advancing beyond basic image analysis to develop predictive models that span various biological domains. You will engage directly with data and coding, partnering with our engineering team to ensure these models are scalable, efficiently trainable in distributed cloud environments, and accessible to our global research network.Key ResponsibilitiesModel Development: Create, implement, and train large-scale foundational models (e.g., Vision Transformers, Multimodal LLMs) capable of embedding spatial data and integrating diverse modalities.Innovative Data Fusion: Apply cutting-edge cross-domain mapping and fusion techniques to align heterogeneous biological datasets.Scaling & Training: Develop and oversee high-performance ML pipelines designed to handle petabyte-scale image collections and multi-omics data streams in a cloud infrastructure.Technical Collaboration: Work closely with experimental scientists and software engineers to convert biological complexity into high-performance code and reliable distributed systems.Who You AreWe seek a technical expert who excels at unraveling "unsolvable" challenges through programming and meticulous experimentation. We welcome candidates at the Scientist I, Scientist II, or Senior Scientist levels.

About FaireFaire is a revolutionary online wholesale marketplace that champions the belief that the future of retail is local. Independent retailers worldwide generate more revenue collectively than giants like Walmart and Amazon, yet they often lack the resources to compete. At Faire, we leverage cutting-edge technology, data analytics, and machine learning to empower this vibrant community of entrepreneurs globally. Imagine your favorite local boutique — we facilitate their access to exceptional products from around the globe. By providing the right tools and insights, we aim to level the playing field, enabling small businesses everywhere to thrive against e-commerce giants.By nurturing the growth of independent businesses, Faire is making a significant economic impact in local communities, worldwide. We seek intelligent, resourceful, and passionate individuals to join us in driving the shop local movement. If you believe in the power of community, we invite you to become a part of ours.About this RoleAs a Senior Applied AI/ML Scientist within the Search group, you will play a pivotal role in shaping the technical vision and machine-learning strategy that drives one of our core growth areas: Search. You will enhance real-time Search and Recommendation systems that deliver next-generation shopping experiences.You'll be at the forefront of algorithm development, integrating large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized product suggestions for every user query.This is a unique opportunity to influence end-to-end personalization in a high-scale, multi-modal environment while collaborating closely with a talented team of scientists and engineers.

About DecagonDecagon stands at the forefront of conversational AI, enabling brands to create unparalleled concierge customer experiences.Our innovative technology empowers leading enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to harness AI agents that facilitate personalized and highly engaging interactions across various channels, including voice, chat, email, and SMS.We envision a future where customer experience transcends traditional support methods, offering quicker solutions, enriched dialogues, and more profound connections. Backed by elite investors like a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we are committed to this vision.At Decagon, we thrive in an office environment that champions collaboration, excellence, and rapid progress. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our team dynamics and growth.About the RoleIn your role as a Senior Data Scientist at Decagon, you will apply rigorous technical expertise to analyze, test, and leverage data across our business operations. You will design experiments, utilize advanced statistical techniques, and construct scalable analytical frameworks to directly influence product strategy and enhance corporate performance.You will collaborate with Engineering and Product teams to implement robust measurement practices, promote data-driven decision-making, and derive insights that will guide Decagon’s future direction. This position requires a blend of analytical excellence and product insight, with the capacity to impact decisions at the highest organizational levels.In this role, you willDevelop and manage foundational datasets and metrics that reflect usage, performance, and efficiency across Decagon's AI platform.Enhance and expand Decagon’s data models, metrics, and dashboards to ensure coherent and scalable reporting across various teams.Collaborate closely with Engineering to inform strategy using data—identifying potential bottlenecks and scaling challenges before they escalate.Partner with Product and Engineering teams to integrate experimentation and measurement best practices into product development processes.Continuously refine Decagon’s data stack, ensuring efficient models, pipelines, and tools that enable self-service analytics across the organization.

Company OverviewAt Echo Neurotechnologies, we are a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to spearheading advancements through state-of-the-art hardware engineering and AI innovations. Our vision is to create transformative technologies that empower individuals living with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome part of a passionate and dedicated team where your expertise is valued. In our dynamic early-stage environment, you will have the chance to influence key decisions that lead to significant, long-term impacts. We prioritize continuous learning and development, encouraging cross-functional collaboration where your contributions play a crucial role in our success.Job SummaryWe are on the lookout for a skilled Applied AI Scientist to join our innovative team. The successful candidate will harness machine learning (ML) and artificial intelligence (AI) methodologies to analyze extensive datasets of time-series data and their accompanying metadata, crafting sophisticated encoding and decoding models to decode brain activity. This work will not only propel scientific advancements but also translate into impactful solutions for patients with physical disabilities.Key ResponsibilitiesDevelop models for brain data and metadata to derive insights from both existing and future datasets, establishing high-performance inference and translation pipelines.Design and implement cutting-edge transformers and other ML models to translate brain signals into control commands for digital devices.Stay abreast of the latest AI methodologies, rapidly evaluating their applicability and effectiveness through prototypical assessments with company datasets.Collaborate effectively within a small team to refine models, design the data-science platforms, and integrate ML models into our product applications.Ensure that all code, analysis pipelines, and results are versioned, well-documented, and highly interpretable for maximum reproducibility.Assist in creating documentation for our Quality Management System, specifically related to ML implementations that will be incorporated into medical products.

Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.

Superhuman offers an engaging hybrid working model for this role. This flexible approach provides team members with a balance of focused time and in-person collaboration, fostering trust, innovation, and a vibrant team culture. Team members for this position must reside in the San Francisco Bay Area. About SuperhumanSuperhuman, now part of Grammarly, is an AI productivity platform dedicated to unlocking extraordinary potential in everyone. Our suite of apps and agents seamlessly integrates AI into over 1 million applications and websites, including Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that comprehends context and provides automatic assistance. Founded in 2009, Superhuman empowers more than 40 million individuals, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our values here.The OpportunityTo achieve our ambitious goals, we are seeking skilled Data Scientists to join our Product and Growth Data Science teams. At Superhuman, data teams are regarded as trusted experts who reveal new insights to shape marketing, product, and growth strategies that drive significant outcomes across the organization. We have access to large datasets and are looking for individuals with exceptional technical and analytical abilities who can dissect complex business challenges and offer solutions that deliver high visibility and impactful results for the company.Growth Data Scientists collaborate closely with product, engineering, growth, and/or lifecycle marketing teams. They are tasked with designing and executing product experiments, as well as performing intricate analyses to guide product strategy through advanced analytics and machine learning. The ideal candidate will possess a proven record of delivering significant analytical projects within the Growth domain and working alongside cross-functional colleagues to influence decision-making.Product Data Scientists are responsible for assessing the quality of the Superhuman products, ensuring that our offerings are not only innovative but also user-friendly and effective.

About AbridgeAbridge, established in 2018, is dedicated to enhancing understanding within the healthcare sector. Our innovative AI-driven platform is specifically designed for medical dialogues, streamlining clinical documentation processes while allowing clinicians to prioritize what truly matters—their patients.Our enterprise-level technology converts patient-clinician interactions into structured clinical notes in real-time, seamlessly integrated with electronic medical records (EMRs). With our Linked Evidence and uniquely auditable AI, we are the sole provider that aligns AI-generated summaries with ground truth, enabling healthcare providers to quickly trust and verify the information produced. As trailblazers in generative AI for healthcare, we are setting the benchmark for the ethical use of AI across health systems.We comprise a diverse and expanding team of practicing MDs, AI experts, PhDs, creatives, technologists, and engineers all committed to empowering individuals and simplifying care. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.The RoleOur generative AI-driven products are transforming the medical field, and we are seeking a highly driven Senior Data Scientist to become a vital part of our expanding US-based Data Science & BI team. Your contributions will significantly shape product strategy and directly affect how healthcare practitioners interact with patient data.What You'll DoData Analysis and Insight GenerationExtract valuable insights and recognize trends and patterns pertinent to our business and product by gathering, cleaning, and analyzing both internal and external data.Maintain comprehensive visibility and comprehension of our AI generation pipelines, from internal quality metrics to automated evaluations in production.Investigate and rectify issues identified through data operations monitors, tools, and reports.Advanced Data ModelingUser Behavior Modeling: Analyze user interactions, engagement metrics, and funnel analyses to identify patterns and insights for product enhancement and feature development. Data-driven approaches are crucial for boosting user engagement and retention.A/B Testing: Design and interpret A/B tests to assess the efficacy of product features and design modifications.AI Model Evaluation: Evaluate and enhance AI models to ensure superior performance and accuracy.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and advanced software empowers over 200,000 businesses across the globe, including notable names such as Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions for managing everything from business accounts and payments to spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne with a dynamic workforce of over 2,000 innovative professionals across 26 global offices, Airwallex is valued at $8 billion. We are backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, positioning us at the forefront of creating the future of global payments and financial services. If you are ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek builders with an entrepreneurial spirit who aspire for real impact, accelerated growth, and genuine ownership. You bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in a fast-paced environment, demonstrating curiosity and making decisions based on foundational principles while balancing speed with thoroughness.With a humble and collaborative approach, you transform innovative ideas into tangible products and ensure projects are completed from start to finish. Leveraging AI, you work efficiently and solve problems quickly. Here, you will tackle complex, high-impact challenges alongside exceptional teammates and advance your career as we redefine the future of global banking. If this resonates with you, let's innovate together.Growth Data Science TeamThe Growth Data Science team is at the heart of Airwallex’s growth strategy, leveraging data and AI to create a sustainable competitive edge. We design and implement advanced solutions encompassing predictive modeling, personalization, LLM-powered systems, incentive optimization, and causal inference to drive significant growth throughout the customer journey.Discover more about our data science team in this blog.The RoleWe are on the lookout for a Senior Data Scientist to collaborate closely with our Growth and Marketing teams. Your role will involve designing, deploying, and refining impactful data science initiatives that drive our growth objectives.

Join Crusoe as a Senior Data Scientist, where you'll leverage data to drive impactful decisions and innovations. As a part of our dynamic team, you will play a crucial role in analyzing complex datasets, developing predictive models, and contributing to our mission of transforming data into actionable insights. You will collaborate with cross-functional teams to enhance our products and services, ensuring they align with our strategic goals.

Abridge develops AI-powered technology to make healthcare conversations clearer and clinical documentation faster. Since 2018, the team has focused on turning patient-clinician interactions into structured notes that connect directly with EMR systems. Their platform ties AI-generated summaries to verified data sources, aiming for transparency and trust in clinical workflows. The company also contributes to ethical standards for generative AI in healthcare. The San Francisco office hosts a multidisciplinary team of physicians, AI experts, engineers, and researchers. Abridge maintains offices in San Francisco’s Mission District, New York’s SoHo, and Pittsburgh’s East Liberty. Role overview The Clinician Scientist role blends clinical experience with a working knowledge of artificial intelligence. This position focuses on building and improving AI tools for healthcare professionals, ensuring accuracy and practical value. Clinician Scientists at Abridge define and validate AI solutions, working closely with engineers, product managers, and other clinicians to shape products that support real-world medical practice. What you will do Develop and refine AI-driven clinical tools, such as note-taking systems, risk adjustment (HCC capture), clinical decision support, and prior authorization features. Apply clinical knowledge and prompt engineering to improve product outputs. Set standards for what counts as clinically meaningful results, including error thresholds, quality metrics, and identifying potential failure points. Collaborate with engineers, data scientists, and clinicians to embed medical insights into AI models. Draft, review, and adjust prompts to enhance AI model performance in clinical settings. Location and work model Position based in the San Francisco office (Mission District). Hybrid schedule: at least three days per week onsite. Relocation assistance available for those moving to San Francisco.

RoleAs a Research Scientist at OpenEvidence, you will explore the potential of cutting-edge models, leveraging a strong research foundation to build practical systems rather than merely publishing papers. You will take ownership of projects from conception to execution, valuing evaluation and quantitative validation as integral components of your work.We seek exceptional innovators who are not confined to narrow specializations. Our engineers and scientists collaborate across diverse products and projects, driving impactful work wherever their skills can shine.About UsOpenEvidence is the leading medical AI platform globally, rapidly adopted by over 40% of US clinicians within just one year through organic, product-driven growth. With a valuation of $12B, our engineering team comprises 30 talented individuals from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a select group of exceptional builders who are empowered to take initiative and work swiftly toward focused goals. Join us as we embark on a unique opportunity to establish the standard platform for medical AI.CultureWe hold that work should engage at a world-class level. Building from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, where uncompromising excellence is the standard. We assert that the creation of unprecedented technologies requires complete ownership, and significant achievements arise when individuals commit to them.Who Are You?If your goal is to clock in and out with minimal engagement, this role is not for you. If you prefer to write papers rather than roll up your sleeves and get involved in creating impactful solutions that influence millions, this position may be your calling. The ideal candidate is a remarkable builder—intelligent, ambitious, resourceful, self-driven, meticulous, motivated, diligent, and humble. We recognize this profile is rare, which is why we have only identified 30 such individuals and are eager to find more.LocationAll engineering roles are in-person, requiring attendance five days a week in either San Francisco or Miami.

Join Aircall, the leading integrated customer communications and intelligence platform that empowers growing businesses worldwide. With a trusted network of over 20,000 companies, Aircall seamlessly integrates voice and digital channels into one powerful platform, featuring one-click connections with top CRMs and over 100 essential business tools. Our AI-driven insights and automation capabilities enable sales and support teams to optimize their time, discover new opportunities, and deliver outstanding customer experiences. With a diverse global team of over 600 in cities such as Paris, New York, San Francisco, and more, Aircall is revolutionizing the way businesses engage with their customers, fostering deeper relationships and driving measurable success.Our Work Culture: At Aircall, we prioritize customer satisfaction, continuous learning, and extraordinary results. We encourage open collaboration, ownership, and swift, informed decision-making. If you thrive in a dynamic, team-oriented environment where curiosity, trust, and impact are key, you will fit right in.About Our TeamThe Data team at Aircall is integral to our decision-making process, driving innovation and growth through advanced data solutions, tools, and actionable insights.Role OverviewAs a Senior Data Scientist, you will play a crucial role in providing insights to our product and business teams, collaborating closely with product and engineering leaders. You will support key initiatives such as pricing strategies, packaging, multi-product approaches, and self-service solutions. Additionally, you will work cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data requirements into impactful solutions. Your contributions will also include establishing best practices in analytics and mentoring team members to uphold high standards in data governance and insight generation.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.

Help Build Tools That Detect Wildfires Early About Pano AI Pano AI develops technology to help fire professionals spot and respond to wildfires faster. Headquartered in San Francisco, the team now includes more than 150 people working in a hybrid-remote model. The company’s platform combines advanced hardware, software, and artificial intelligence, all accessible through a web-based interface. Fire authorities use Pano’s network of 360-degree, ultra-high-definition cameras, along with satellite and other data sources, to monitor specific geographic areas and receive real-time intelligence about emerging threats. The Challenge Wildfires are growing more intense and unpredictable as climate change drives drier conditions and stronger winds. Most fires are still detected by bystanders and reported through 911, which can mean hours of delay before first responders are dispatched. Pano AI aims to give fire authorities a faster, more reliable way to detect and confirm new ignitions, so small incidents are stopped before they become disasters. Recognition Named one of the TIME 100 Most Influential Companies of 2025 Selected by MIT Technology Review as a top 15 climate tech company to watch in 2024 Recognized by Fast Company as a Top 10 most innovative company in AI of 2023 Featured in the Wall Street Journal and Bloomberg Pano AI continues to grow as a leader in early wildfire detection and intelligence, supporting first responders with timely information and better coordination.

Join the Center for AI Safety (CAIS), a pioneering research and advocacy organization dedicated to addressing the societal-scale risks posed by artificial intelligence. We tackle the most pressing challenges in AI through rigorous technical research, innovative field-building initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund.As a Research Scientist, you will spearhead and conduct transformative research aimed at enhancing the safety and dependability of cutting-edge AI systems. Your responsibilities will include designing and executing experiments on large language models, developing the necessary tools for training and evaluating models at scale, and converting your findings into publishable research. You will work closely with CAIS researchers and external partners from academia and industry, utilizing our compute cluster for large-scale model training and evaluation. Your research will focus on critical areas such as AI honesty, robustness, transparency, and the detection of trojan/backdoor behaviors, all aimed at mitigating real-world risks associated with advanced AI technologies.