AI Research Engineer at Chai Discovery | San Francisco

About Chai DiscoveryAt Chai Discovery, we are pioneering advanced AI models that revolutionize molecular design and the drug discovery process. Our dedicated team is committed to reshaping the landscape of therapeutic development, with the ultimate goal of saving lives.Our founders consist of elite researchers and industry leaders who have made groundbreakin…

Join Chai Discovery as an AI Research ScientistAt Chai Discovery, we are pioneering the development of advanced AI models aimed at revolutionizing molecule design and transforming drug discovery processes. Our dedicated team is passionate about reimagining how new cures are developed, ultimately aiming to save lives.Founded by a collective of leading researchers and seasoned Silicon Valley operators, our team has achieved groundbreaking milestones in AI applications for biology. Our founders have made significant contributions to protein language modeling and cutting-edge folding algorithms, and have successfully partnered with top pharmaceutical companies to implement AI solutions. We are proud to be supported by prestigious investors such as OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and more.Role OverviewAs an AI Research Scientist, you will engage in innovative research focused on computational modeling for biological applications. Our projects extend beyond protein structure prediction into actual therapeutic engineering, offering you the opportunity to advance the field of AI-driven drug design, alongside a team that embodies a balance of critical thinking and optimistic vision.Your ProfileWe are looking for a driven AI Leader with extensive research experience and a commitment to pushing boundaries in therapeutic design. The ideal candidate should possess:Research Expertise:A Ph.D. or equivalent research experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or a related discipline.A robust publication record in leading ML or life-science journals (e.g., NeurIPS, ICML, Nature Methods, PLoS Computational Biology, J. Chem. Inf. Model., etc.).Technical Proficiency:Fluency in Python and familiarity with deep learning frameworks.Experience in training and evaluating large models using protein, antibody, or small-molecule datasets, or demonstrable transferable ML skills.Experimental Design & Analysis:Ability to convert scientific inquiries into manageable modeling experiments.Competence in managing extensive biological or chemical datasets, deriving significant metrics, and presenting findings to varied audiences.Collaboration & Communication:A collaborative spirit, eager to work with cross-functional teams including wet-lab scientists, software engineers, and product leaders.

Join Us at Chai DiscoveryAt Chai Discovery, we are pioneering applied research in artificial intelligence to revolutionize biology. Our advanced AI models are engineered to create innovative molecules for groundbreaking medicines. Our software platform is increasingly being utilized by scientists across various industries to develop drugs with unparalleled precision. Our ambition is to craft a comprehensive design suite for biology, impacting life sciences, agriculture, materials science, and beyond.Founded by leaders at the forefront of the field, we have secured $230 million in funding from prestigious investors including Thrive, General Catalyst, OpenAI, and Dimension. Collaborating with global life sciences giants like Eli Lilly, we are reshaping the landscape of our industry.Renowned for our exceptional talent, rigorous research, and rapid execution, we invite you to be a part of our dynamic team.Are You Ready to Make an Impact?We are in search of a remarkable individual to lead our talent acquisition efforts. This role requires someone who is endlessly curious, results-driven, empathetic, self-aware, and attuned to market dynamics. Your responsibilities will include:#1 Communicate Effectively.You will articulate our story and cultivate authentic relationships. Engaging in insightful discussions with various stakeholders will be second nature to you. You will immerse yourself in our mission and domain, representing our values and objectives with sincerity. Building trust through genuine interactions is crucial.#2 Innovate and Act Differently.We believe in challenging the status quo, and you do too. Your track record demonstrates a knack for thinking outside the box and executing unconventional strategies to achieve extraordinary results. You transform insights into actions, prioritize iteration over perfection, and balance urgency with creativity.#3 Create Something Remarkable.You will play a pivotal role in shaping our organization and ensuring the right talent fills each position. Your ability to identify polymaths, extraordinary talent, and exceptional visionaries will be invaluable. You are eager to deepen your expertise in every facet of our work and culture.What We OfferAn opportunity to operate at the cutting edge of AI, alongside world-class professionals, on meaningful projects. We champion a culture of speed and accountability while providing competitive compensation.

About Chai DiscoveryChai Discovery is an innovative applied research laboratory dedicated to revolutionizing the future of medicine. Our flagship product is a cutting-edge design suite for molecular development, powered by our advanced models. We empower scientists to engineer drugs with remarkable precision, unlocking the potential for superior medicines that benefit humanity.Founded by pioneers in the field, we have successfully raised $230 million from esteemed investors including Thrive, General Catalyst, OpenAI, and Dimension. We collaborate with leading life sciences companies such as Eli Lilly, which have committed to multi-year, eight-figure annual revenue partnerships with our platform.Chai Discovery is recognized for its exceptional talent, rigorous research culture, and rapid execution.About the RoleAs a Forward-Deployed Scientist at Chai, you will serve as a key user and exploratory pilot, harnessing the full potential of our platform. You will develop a deep understanding of its capabilities and limitations, utilizing your intuition and creativity to address complex challenges and targets. You will join a distinguished team of biologists, computational scientists, and AI researchers.Your primary responsibility will be to ensure that our collaborations with global life sciences partners surpass their expectations. Acting as our eyes and ears on the ground, you will relay your insights back to the team, aiding in the refinement of our products, models, and methodologies. You will become a trusted expert on our partners’ scientific and therapeutic needs, representing the best of what they could hope for.This role presents a unique opportunity to challenge the frontiers of science and artificial intelligence, providing exposure far beyond what is typical in a single drug program or traditional life sciences company.About YouOur ideal candidate possesses a blend of antibody engineering and computational protein design knowledge and is highly adaptable. You operate with a sense of urgency and an inherent curiosity about science and technology. You have strong organizational abilities and are driven by a desire for progress.PhD or equivalent experience in Antibody Engineering, Computational Biology, or Protein Sciences.Hands-on experience in the design and characterization of antibody-based biologics, with proficiency in molecular biology workflows, binding assays, and structural inspection using tools like PyMOL.Demonstrated ability in communication, collaboration, and execution.Ability to thrive under pressure.We OfferAn opportunity to engage at the frontier of AI alongside world-class professionals, contributing to a mission that is both impactful and transformative.

About Chai DiscoveryChai Discovery is at the forefront of innovation, crafting advanced AI models aimed at revolutionizing molecular design and transforming the landscape of drug discovery. Our dedicated team is passionate about reimagining how new cures are developed, with a vision to save lives.The founding team of Chai comprises distinguished researchers and leading Silicon Valley professionals. Our founders have achieved remarkable milestones in AI for biology, co-inventing protein language modeling, developing cutting-edge folding algorithms, and delivering AI solutions that are now utilized by top-tier pharmaceutical companies. We are proud to be supported by industry-leading investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, and Amplify, among others.About the RoleAs the inaugural Product Designer at Chai, you will integrate pioneering AI models into user-friendly tools that are essential for scientific research. You will oversee the complete design process, encompassing user research, wireframes, high-fidelity mockups, design systems, and dashboards that scientists utilize to interact with models, visualize molecular structures, and analyze data with our AI integrated. Your expertise will drive product clarity, consistency, and user satisfaction in a complex and technical domain.With years of foundational research and development, Chai's models are advancing from protein structure prediction to practical therapeutic applications. This is your opportunity to launch the most sophisticated AI drug design models into the market, collaborating with a team that combines meticulous craftsmanship with a broad vision.

About Chai DiscoveryChai Discovery is at the forefront of innovation, developing cutting-edge AI models that are revolutionizing the process of drug discovery. Our dedicated team is passionate about reimagining the future of medicine, aiming to save lives through advanced technology.Our founding team comprises distinguished researchers and top-tier professionals from Silicon Valley, who have achieved remarkable milestones in AI for biology. With a history of co-inventing protein language models and creating state-of-the-art algorithms, we are proud to be backed by prestigious investors such as OpenAI, Thrive Capital, and many others.About the RoleAs a Product Engineer, you will play a key role in developing the Chai software platform. This includes creating tools for scientists to query models, visualize molecular structures, and analyze data, all while integrating AI into the workflow. You will collaborate closely with designers, machine learning researchers, and laboratory teams to transform complex scientific processes into repeatable solutions. Your focus will be on delivering reliable, elegant, and practical products, both at the surface level and behind the scenes.With Chai's models evolving from foundational research to real-world therapeutic applications, you have the opportunity to help bring groundbreaking AI-driven drug design solutions to market, working with a team that embraces both meticulousness and visionary optimism.

About Resolve AIAt Resolve AI, we are redefining the role of software maintenance and production troubleshooting by creating a revolutionary, fully autonomous AI Production Engineer. Our technology is designed to diagnose and resolve intricate system issues from start to finish.Founded by industry leaders Spiros Xanthos and Mayank Agarwal, who are the masterminds behind OpenTelemetry and have previously spearheaded initiatives at Splunk Observability, our team boasts two successful exits to Splunk and VMware.Having successfully secured over $150M in funding from prestigious investors like Lightspeed, Greylock, and Unusual Ventures, alongside notable individuals such as Jeff Dean (Chief Scientist, Google DeepMind) and Fei-Fei Li (Professor, Stanford), we are well-positioned for growth.Joining Resolve AI now presents a unique opportunity to be part of an AI-driven company that is at the forefront of transforming engineering workflows.

About Liquid LabsAt Liquid AI, research has always been at the forefront of our mission. Liquid Labs serves as a dedicated internal research accelerator, facilitating groundbreaking advancements in the development of intelligent, personalized, and adaptive machines.Our roots extend back to MIT CSAIL, where pioneering work on Liquid Neural Networks established a new category of efficient sequence-processing architectures. This research laid the groundwork for our Liquid Foundation Models (LFMs), which are scalable, multimodal models designed for real-world applications in resource-constrained settings.In Liquid Labs, we continue this legacy by advancing the realm of efficient, adaptive intelligence through both fundamental research and practical engineering efforts.We collaborate closely with Liquid’s core foundation model and systems teams to turn theoretical concepts into deployable capabilities, setting the stage for a new era of powerful and efficient intelligent systems.About The Role:As a Research Engineer at Liquid Labs, you will be part of a dynamic, high-impact team pushing the boundaries of adaptive intelligence. You will be responsible for designing and implementing innovative architectures, training methodologies, and inference strategies to expand the potential of efficient AI.Your work will blend research and engineering, as you translate scientific concepts into functional systems, publish findings that advance the field, and deploy solutions that redefine what is achievable.While we prefer candidates from San Francisco and Boston, we welcome applications from other locations within the United States.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

Innovate Boldly. Shape Tomorrow. Our VisionDevelop everyday AGI. Trustworthy, user-friendly agents that transform human–AI collaboration for millions. Software should not merely execute commands; it should collaborate with you, enhancing your daily capabilities.Why Join AGI, Inc.?We are a discreet group of pioneering founders and AI researchers with expertise from Stanford, OpenAI, and DeepMind. Our team is at the forefront of mobile and computer-based agents, scaling these innovations for consumers.With years of agent research underpinning our work, we prioritize trustworthiness and reliability as foundational elements, not mere afterthoughts.Backed by top-tier investors who were instrumental in the rise of the first generation of AI giants, we are positioned to create the next wave: everyday AGI. (Check out the demo)If you envision possibilities where others see constraints, we invite you to read further.Role OverviewAs an AI Researcher, you will pioneer the development of groundbreaking AI algorithms and strategies for intelligent action-taking agents. Your innovative hypotheses will be transformed into production-ready solutions, pushing the limits of existing agent capabilities.What to Expect:Explore New Frontiers. Develop and prototype advanced architectures in reasoning, long-term planning, memory, multi-agent coordination, and alignment.Deliver Results. Conduct live A/B tests on billions of real trajectories, seeing your innovations implemented in production within weeks.Merge Theory with User Delight. Collaborate with product engineers to integrate novel algorithms into enjoyable consumer experiences.Set the Standard. Define our research rigor, safety metrics, and evaluation frameworks for anything labeled as “agentic.”Elevate Others. Mentor interns, residents, and interdisciplinary innovators, amplifying the team's overall impact.Main ResponsibilitiesInnovate Methodologies. Explore RLHF, scalable supervision, tool-use planning, state-space memory, and any other strategies that unlock new agent skills.

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.

About MercorMercor sits at the forefront of labor markets and artificial intelligence research, collaborating with premier AI laboratories and enterprises to harness the human intelligence crucial for AI evolution.Our expansive talent network empowers the training of cutting-edge AI models, akin to how educators impart knowledge to students—sharing insights, experiences, and contexts that transcend mere code. Currently, our network comprises over 30,000 experts, generating collective earnings exceeding $2 million daily.At Mercor, we are pioneering a unique category of work where expertise fuels AI progress. Realizing this vision necessitates a bold, fast-paced, and deeply dedicated team. You will collaborate with researchers, operators, and AI firms that are at the vanguard of transforming systems that redefine society.As a profitable Series C company, Mercor is valued at $10 billion and maintains an in-office presence five days a week at our new headquarters in San Francisco.About the RoleIn your capacity as a Research Engineer at Mercor, you will operate at the intersection of engineering and applied AI research. You will play a pivotal role in post-training and Reinforcement Learning from Human Feedback (RLVR), synthetic data generation, and large-scale evaluation workflows essential for advancing frontier language models.Your contributions will help train large language models to adeptly utilize tools, exhibit agentic behavior, and engage in real-world reasoning within production environments. You will be instrumental in shaping rewards, conducting post-training experiments, and constructing scalable systems to enhance model performance. Your responsibilities will also include designing and evaluating datasets, creating scalable data augmentation pipelines, and developing rubrics and evaluators that expand the learning potential of LLMs.

About the RoleJoin Thorin as an AI Researcher and play a pivotal role in shaping the core research initiatives that drive our AI innovations. In this position, you will operate at the crossroads of machine learning research, practical model development, and product application, enhancing our understanding and automation of enterprise workflows.This position merges theoretical research with hands-on implementation, transitioning ideas from conceptual stages through experimentation into functional components that enrich Thorin’s offerings.Your ResponsibilitiesResearch & InnovationConduct innovative machine learning research aligned with real-world product demands.Investigate new model architectures, training methods, and evaluation techniques specifically designed for understanding and automating organizational workflows.Model Development & EvaluationCreate, implement, and assess ML/AI methodologies that enhance model efficacy for essential tasks.Collaborate closely with cross-functional teams to integrate research outcomes into tangible products that meet user needs.

About DepthFirst AIAt DepthFirst AI, we recognize that software underpins modern civilization, yet its vulnerabilities pose significant risks to integrity and security. Our mission is to enhance software security through innovative solutions.We are developing cutting-edge intelligence to identify and remediate critical software vulnerabilities, leveraging AI agents to discover zero-day vulnerabilities across extensive customer codebases and popular open-source software.Our founding team comprises industry leaders from DeepMind, Databricks, Square, and Faire, bringing unparalleled expertise in security and large language models (LLMs). We seek talented technical professionals eager to explore the intersection of AI, security, and infrastructure.Role Overview:We are looking for a skilled Research Engineer to contribute to the development and training of AI agents focused on vulnerability discovery and exploitation.Your work will be pivotal in creating technology capable of detecting vulnerabilities, akin to Log4J, at scale, ensuring the security of customer and open-source codebases.Ideal candidates will possess a strong engineering intuition, experience in model evaluation and benchmarks, with reinforcement learning experience being an added advantage. Your contributions will be instrumental in shaping a product that aims to revolutionize security practices for companies.Why You Will Love This Role:Develop Cutting-Edge AI pipelines tailored for the detection and exploitation of complex software vulnerabilities.Design and Maintain evaluation benchmarks that genuinely reflect the challenges faced by our users.Craft effective training methodologies and reinforcement learning environments for security coding agents.Be Part of a Solution to critical security challenges, with feedback from our valued customers revealing the immediate impact of our product.

HUD builds infrastructure for generating and evaluating reinforcement learning (RL) training data for advanced AI agents. The team is also developing a marketplace to connect leading labs with high-quality training data. HUD's platform serves frontier labs, Fortune 500 companies, and startups. The company is backed by $15M in funding from top venture capital firms and is part of Y Combinator's W25 cohort. Role overview HUD is seeking Research Engineers in San Francisco to help strengthen quality assurance for training data produced by partner organizations. This position centers on building systems that maintain and improve data quality as demand increases. What you will do Set and uphold quality standards for training datasets. Develop tools and workflows for auditing datasets from suppliers, including sampling methods, validation pipelines (using rules and models), and feedback systems. Assess and refine human-in-the-loop review processes to support quality assurance. Collaborate with data vendors to resolve quality issues, share insights, and encourage better data generation practices. Integrate QA findings into internal tools and the data vendor portal to reduce anomalies, inconsistencies, and edge cases. Requirements Strong skills in Python, Docker, and Linux environments. Experience working with large datasets. Ability to learn quickly and adapt in technical contexts, such as programming competitions. Background in early-stage tech startups and ability to work independently. Familiarity with modern AI tools and large language models (LLMs). Clear communication skills for collaborating remotely across time zones. Preferred qualifications Understanding of common issues in training data. Background in building data validation pipelines or human-in-the-loop review systems. Strong attention to detail, with the ability to identify subtle data inconsistencies or edge cases. Experience designing metrics, experiments, and QA processes, not just executing them.

About UsAt 1mind, we are revolutionizing the way revenue teams engage with clients through our innovative platform that deploys multimodal Superhumans. These advanced digital agents combine human-like appearance and communication skills with extensive technical and product knowledge, allowing them to conduct unlimited conversations around the clock. Our Superhumans are designed to qualify leads, schedule meetings, deliver presentations, provide interactive demos, address objections, identify pain points, construct value models, and facilitate customer onboarding. They seamlessly integrate into existing workflows, enhancing productivity and driving measurable revenue growth while improving the overall buyer experience.Job DescriptionWe are seeking a dynamic AI Research Lead to spearhead our research initiatives at 1mind. This pivotal position will significantly influence our company's direction and success. In this role, you will conduct exploratory research focused on post-training methodologies for sales and go-to-market (GTM) strategies, developing models that elucidate human selling behaviors and relationship-building processes. Collaborating closely with our CTO, you will have the autonomy to shape the research agenda, build a dedicated team, and disseminate your findings. This is an applied research role with immediate impact; our agents are currently operational in customer environments, producing high-quality data from thousands of authentic buyer interactions.If you have a background in cutting-edge research and post-training work at a leading lab, and you are eager to create solutions that will be implemented in production environments utilizing unique datasets, we want to hear from you.

Join the Future of AI at MercorAt Mercor, we find ourselves at the dynamic intersection of labor markets and artificial intelligence research. Our collaborations with top-tier AI laboratories and corporations empower us to deliver the crucial human intelligence that fuels AI advancement.Our expansive network of talent is akin to educators nurturing students; we impart knowledge, experience, and nuances that cannot simply be encoded. Currently, over 30,000 experts within our network generate upwards of $2 million daily.We are pioneering a novel category of employment where expertise drives the evolution of AI. To realize this vision, we require a driven, fast-paced, and exceptionally dedicated team. You will collaborate with researchers, operators, and cutting-edge AI firms that are shaping the future of societal systems.Mercor is a thriving Series C enterprise, currently valued at $10 billion. Our team operates in-person, five days a week, at our state-of-the-art headquarters in San Francisco.About the RoleLeading AI companies in Silicon Valley engage with Mercor to identify domain experts capable of training and assessing their models. As an AI Researcher at Mercor, you will be tasked with pushing the boundaries of model evaluation to enhance model performance across the industry, creating tangible economic value.You will regularly publish influential papers alongside industry leaders, have access to extensive resources for crafting impactful datasets, and engage with cutting-edge evaluation and training data. Collaborating closely with Mercor’s Forward Deployed Research, Applied AI, and Operations teams will provide you with unparalleled opportunities to assess leading models.We seek an accomplished AI researcher. A demonstrated history of publications in LLM evaluations is preferred, but we also value experience with other types of model evaluations or AI-related publications.Key ResponsibilitiesDevelop benchmarks that quantify the real-world impact of AI models.Publish LLM evaluation studies in top-tier conferences with the backing of Mercor’s Applied AI and Operations teams.Advance the understanding of data ROI in model development, encompassing multi-modality, coding, tool usage, and beyond.Design and validate innovative data collection and annotation solutions for leading industry labs and major tech firms.What We’re Looking ForA PhD or M.S. with 2+ years of professional experience in computer science, electrical engineering, econometrics, or a related STEM discipline that provides a robust foundation in machine learning and model evaluation.A strong publication record in AI research, particularly in model evaluation is essential.

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.

Product ResearcherAs a Product Researcher at Firecrawl, you will be pivotal in shaping our future product development. Our engineering team is currently focused on delivering robust infrastructure, while our sales and support teams effectively manage incoming queries. However, we are seeking a dedicated individual to drive our larger product initiatives—those that will elevate our tool into a leading platform. Currently, we possess a cutting-edge commercial research paper search endpoint with limited use. Our features, including answers, reranking, and monitoring, require the dedicated focus of a researcher like you. You will ensure that we prioritize effectively based on genuine customer needs.This role transcends traditional product management; you will immerse yourself in the field, engaging in frequent conversations with customers—conducting 15-25 interactions weekly. These will include discovery calls, user interviews, onboarding sessions, and discussions surrounding churn. Your mission is to uncover insights that reveal our customers' challenges and aspirations, effectively bridging the gap between our developers' efforts and our product roadmap.