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.

About DepthFirst AIAt DepthFirst, we are committed to reinforcing the backbone of modern civilization: software. However, vulnerabilities pose significant risks to its integrity, security, and resilience. Our mission is to innovate solutions to enhance software security.We are pioneering intelligence technologies designed to detect and remediate critical software vulnerabilities. Our focus is on training and scaling security AI agents capable of identifying zero-day vulnerabilities across extensive customer codebases and widely-used open source software.With a founding team comprising experts from leading organizations like DeepMind, Databricks, Square, and Faire, we seek talented individuals eager to work at the confluence of AI, Security, and Infrastructure.About This Role:We are in search of an accomplished Security Researcher to contribute to the development and training of AI agents specialized in vulnerability discovery and exploitation.Your role will involve creating technology that can uncover vulnerabilities at scale, akin to discovering the next Log4J, and facilitating the identification and remediation of vulnerabilities in both customer and open source codebases.We are seeking dynamic security researchers with a keen intuition for identifying, analyzing, and investigating application vulnerabilities. Collaborating with AI researchers and engineers, you will explore novel attack vectors and assist in the advancement of sophisticated detection and defense mechanisms. Your contributions will be vital in reshaping security practices for organizations worldwide.You Will Be Excited About This Role Because You Will:Develop technologies capable of identifying novel vulnerabilities at scale in both proprietary and open source codebases.Design techniques aimed at minimizing false positives through automated exploitation, proof of concept generation, and context inference.Engage closely with engineers to comprehend limitations and innovate methodologies to enhance our systems.Publish internal technical reports and contribute to security advisories as necessary.Work on a product that addresses critical security issues, already proving valuable to customers by helping them rectify significant vulnerabilities within days of implementation.

About DepthFirst AIAt DepthFirst, we recognize that software serves as the backbone of modern civilization, yet its vulnerabilities pose significant risks to integrity, security, and resilience. Our mission is to address these security challenges head-on.We are pioneering the development of intelligent systems that autonomously identify and remediate critical software vulnerabilities. Our focus lies in training and scaling AI agents to uncover zero-day vulnerabilities across extensive customer codebases and widely-used open-source software.Our esteemed founding team brings a wealth of experience in security and large language models, featuring technical leaders from industry giants such as DeepMind, Databricks, Square, and Faire. We are in search of talented individuals eager to explore the intersection of AI, security, and infrastructure.About the Role:We are on the lookout for a seasoned Backend Engineer who will spearhead the creation of the world's first AI-native platform dedicated to autonomously identifying and resolving software vulnerabilities in code. You will be integral to developing the infrastructure that drives our security AI agents, tackling challenges related to large-scale code execution, complex agent orchestration, evaluation benchmarks, and training pipelines. We prioritize engineering excellence and secure designs capable of scaling for thousands of enterprise-level users. Your contributions will be pivotal in redefining how businesses approach security.What Excites You About This Role:Technical Leadership: Mentor team members, establish technical direction, and set best practices for backend engineering at DepthFirst.Architect and Scale: Develop complex coding agent pipelines that efficiently scan and execute large codebases to identify intricate vulnerabilities.Benchmark Development: Build, maintain, and refine evaluation benchmarks for AI agents that mirror real-world user challenges.Ownership: Take charge of our product, influencing its architecture, performance, and long-term success.Impactful Work: Participate in a project that addresses critical security issues. Our initial customers have already seen significant value in resolving vulnerabilities shortly after adopting our solution.

About depthfirst depthfirst builds software to strengthen the foundations of modern technology. The team focuses on protecting software from vulnerabilities that threaten its reliability and security. The mission: make software safer everywhere it runs. depthfirst develops intelligent tools that find and fix critical software vulnerabilities. The company trains and scales security AI agents to uncover zero-day issues in large customer codebases and widely used open source projects. The founding team brings experience from DeepMind, Databricks, Square, and Faire, with deep backgrounds in data, infrastructure, security, and large language models. depthfirst welcomes technical professionals interested in working where AI, Security, and Infrastructure meet. Role Overview: Security Product Engineer This San Francisco-based role centers on working directly with enterprise customers to implement depthfirst's security AI agents in their environments. The Security Product Engineer acts as the technical point of contact, ensuring the AI tools detect vulnerabilities at scale within real-world systems. The position blends hands-on engineering with regular customer interaction. Security Product Engineers learn about each customer's security landscape, design custom integrations using depthfirst's platform, and partner with the product team to turn successful solutions into product features. The work shapes both how customers use depthfirst and how the product evolves. What You Will Do Work with enterprise customers to deploy depthfirst's security AI agents in production. Build strong relationships with security teams, acting as a trusted advisor who understands their needs. Translate customer challenges into practical solutions, including custom integrations, data pipelines, and workflows connecting depthfirst with existing security tools. Identify common patterns across deployments and collaborate with the product team to develop platform-wide capabilities. Communicate effectively with stakeholders at all levels, from security engineers to CISOs. Own the technical delivery process, from initial scoping through implementation and ongoing optimization. Travel to customer sites when needed to support successful deployments.

About depthfirst depthfirst builds software security solutions to protect the integrity and resilience of critical systems. The team focuses on tackling vulnerabilities that threaten modern software, aiming to safeguard codebases across industries. Using AI-driven security agents, depthfirst uncovers zero-day vulnerabilities in both customer applications and widely used open-source projects. The company’s founders bring experience from DeepMind, Databricks, Square, and Faire, blending backgrounds in data, infrastructure, security, and AI. depthfirst welcomes thoughtful, driven people interested in working where AI, security, and infrastructure intersect. Role Overview: Channel Partnerships Lead This in-office position is based in San Francisco. The Channel Partnerships Lead will report directly to the CRO and work closely with Sales, Revenue Operations, and Marketing. The role centers on building and expanding a strong partner network as depthfirst grows. depthfirst has already gained traction with key cybersecurity value-added resellers (VARs). The next step is to strengthen these relationships and grow a partner ecosystem that drives meaningful business pipeline. The Channel Partnerships Lead will evaluate new channel opportunities, including managed security service providers (MSSPs), hyperscaler marketplaces, global systems integrators (GSIs), and potential product integration partners. This position suits someone entrepreneurial who enjoys building relationships, driving revenue through partnerships, and shaping a partner program from the ground up. Compensation rewards partner-driven pipeline and closed-won deals. What You Will Do Identify, recruit, and onboard strategic partners such as VARs, MSSPs, hyperscaler marketplace partners, and GSIs. Build and nurture strong partner relationships, enabling partners to position and sell the depthfirst platform. Drive pipeline and revenue through partnerships, collaborating with account executives on co-selling and deal execution. Develop partner enablement programs, including training, certifications, and go-to-market strategies.

About depthfirstAt depthfirst, we are passionate about harnessing the power of software as the backbone of modern civilization. However, inherent vulnerabilities pose significant risks to its integrity and security. Our mission is to fortify software systems worldwide.We are pioneering intelligence-driven solutions to identify and mitigate critical software vulnerabilities. Our focus is on developing and scaling AI security agents capable of discovering zero-day vulnerabilities within extensive customer codebases and widely-used open-source software.Our leadership team comprises seasoned experts in data, infrastructure, security, and AI, featuring talent from renowned organizations such as DeepMind, Databricks, Square, and Faire. We invite motivated and thoughtful individuals to join us at the exciting crossroads of AI, security, and infrastructure.About This RoleAs a Business Operations Lead, your role will be pivotal in our strategic scaling during this exhilarating growth phase at depthfirst. This position is ideal for someone eager to learn, who thrives in a fast-paced environment, and enjoys juggling diverse tasks ranging from data analysis to operational execution and cross-functional collaboration.You will engage with various workstreams within Finance and Operations, taking ownership of initiatives that are vital for maintaining our efficiency in a rapidly evolving company. No task is too big or small, and this role offers substantial opportunities for professional growth as we expand.Your enthusiasm for this role stems from the fact that you will...Assist in analyzing key business drivers by extracting data, constructing models, and identifying successes and areas for improvement.Lead cross-functional projects encompassing GTM, product development, engineering, and more, ensuring progress and preventing any oversights.Steer operational initiatives that require a structured and accountable leadership approach, including vendor management, compliance workstreams, and process documentation.Serve as a crucial connector among teams, facilitating follow-ups, coordination, and resolution of obstacles.Take a hands-on approach to meet business needs, demonstrating comfort in both data analysis and practical operational tasks.

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 Handshake Handshake connects over 20 million knowledge workers with 1,600 educational institutions and 1 million employers, including every Fortune 50 company. The platform supports career growth and upskilling by bridging students, educators, and employers. Handshake has seen rapid expansion, tripling its Annual Recurring Revenue (ARR) by 2025. Why Work at Handshake? Shape the future of careers in the AI economy at a global level. Collaborate with top AI labs, Fortune 500 companies, and leading educational institutions. Work alongside experienced professionals from organizations such as Scale AI, Meta, xAI, Notion, Coinbase, and Palantir. Contribute to a company with significant growth and revenue potential. Role Overview: AI Research Engineer Design and build advanced post-training systems in partnership with research scientists and domain experts. Develop and maintain infrastructure for large-scale model training and specialized data processing. Create frameworks to verify the quality and integrity of domain-specific datasets. Develop benchmarks for large language models to improve evaluation and capability assessments. Optimize software and hardware performance to accelerate post-training experiments and deployment. Work across teams to ensure thorough validation of model improvements. Location San Francisco, CA

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.

Role Overview Writer Inc. is hiring a Security Engineer focused on Detection and Response in San Francisco, CA. This position centers on building and maintaining security controls that safeguard the company’s digital assets. What You Will Do Develop and implement security measures to protect systems and data. Collaborate with teams across the company to strengthen security practices. Respond to security incidents and help improve incident response processes. Location This role is based in San Francisco, CA.

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.

Join Us in Combating the Escalating Wildfire Crisis with Cutting-Edge AI and IoT SolutionsAbout UsThe Challenge: In the face of climate change, wildfires are becoming more frequent and severe. Traditional methods of fire detection, reliant on bystanders and emergency calls, lead to critical delays in response times. Fire authorities require innovative solutions for faster detection, verification, and response to avert catastrophic fire outbreaks.Who We Are: Pano AI is a dynamic growth-stage startup based in San Francisco, comprising over 150 passionate professionals. We stand at the forefront of wildfire detection and intelligence, equipping fire services with timely information and advanced technology to enhance their response capabilities. Our platform integrates cutting-edge hardware, software, and AI, utilizing ultra-high-definition 360-degree cameras positioned strategically to provide real-time threat assessments. Our technology empowers fire professionals with actionable insights, enabling them to prevent minor flare-ups from escalating into significant disasters.Recognized by TIME as one of the 100 Most Influential Companies of 2025, and featured in MIT Technology Review's top 15 climate tech companies to watch, Pano AI is paving the way for innovative solutions in fire response. Our contributions have been recognized in major publications such as the Wall Street Journal and Bloomberg.

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 groundbreaking contributions to AI applications in biology. They have co-invented protein language modeling, developed cutting-edge folding algorithms, and created AI solutions adopted by top pharmaceutical firms. We are proud to be backed by prominent investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, and Amplify.About the RoleWe are looking for an AI Research Engineer to collaborate closely with our research scientists in designing, training, evaluating, and optimizing the core models and infrastructure at Chai. Our models are evolving from mere protein structure predictions into real-world therapeutic engineering applications. This is a unique opportunity to advance the field of AI-driven drug design while being part of a passionate team that balances cautious optimism with bold vision.Develop and enhance the infrastructure and tools that support our AI research initiatives.Work alongside AI researchers to explore, implement, and refine emerging research directions.Integrate AI models into production environments, ensuring they are scalable and reliable.About YouThe ideal candidate will have a background in high-performance computing, GPU programming, and AI/ML with large-scale data systems.A Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.Proficiency in programming languages such as Python, along with deep learning frameworks like PyTorch.A solid understanding of operating system internals.Familiarity with HPC infrastructure, including Slurm and Kubernetes.Experience in performance engineering and profiling for both CPU and GPU workloads.Proven ability in developing, building, and maintaining extensive ETL pipelines.We OfferInnovative Technology: Engage with cutting-edge technologies that have the potential to redefine therapeutic creation.Exceptional Team: Collaborate with renowned experts at the intersection of AI and biology.

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.