Lead and accelerate the Applied White-Box Methods team's research agenda on AI safety.
Develop and evaluate white-box methods on realistic large-scale agentic coding tasks.
Publish findings and engage with the AI alignment community and external partners.
FAR.AI is a non-profit AI research institute dedicated to ensuring advanced AI is safe and beneficial for everyone. Since its founding in July 2022, it has grown to 50+ staff, published 40+ academic papers, and convened leading AI safety events.
Lead a new team designing and delivering high-impact convenings for the AI safety ecosystem.
Conduct research to identify where events can drive progress, using surveys and data analysis.
Manage relationships with key organizations and hold accountability for portfolio delivery.
Quorum is a new AI safety organization advancing research and public understanding of the societal implications of emerging technologies, with a focus on AI. An ambitious team scaling from a successful flagship event to a portfolio of high-impact convenings across multiple locations.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Design and build automated evaluation pipelines for AI agents.
Develop testing frameworks for reasoning, multi-turn conversations, and adversarial scenarios.
Own the evaluation architecture and integrate observability tools in a fully remote team.
A company building production-grade AI agents and systems. They operate in a fully remote, globally distributed environment with a culture focused on innovation, autonomy, and continuous improvement.
Build evaluation frameworks for AI agents, including datasets and metrics for real-world task performance.
Design experiments to compare models and tools, identifying regressions and trade-offs.
Investigate agent failures and improve performance across models, harnesses, and tooling.
Gauntlet builds the financial systems of the future, operating across the onchain finance stack to offer vault products. They serve over $1.7B in client TVL across fintechs, protocols, exchanges, and capital allocators, combining traditional finance and crypto-native expertise.
Design and build challenging evaluations and executable environments for coding and long-horizon agents.
Develop scoring logic and verifiers to detect reward hacks and trace failures through model outputs and harness code.
Build and scale RL data pipelines for generating and curating challenging coding and agentic tasks.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models and open-source models trained for long-horizon tasks. The company has raised $150M from top investors and is a mission-driven team passionate about accelerating science and AI.
Develop AI methods and algorithms for reliable agents.
Design simulations and evaluations for agent behavior.
Partner with product and engineering to ship research.
The company builds an AI agent platform focused on making agents reliable in production. It is a research-driven environment with a collaborative, startup-oriented culture.
Build the Learning Gym, a sandboxed environment for training and evaluating AI agents on real Niural workflows with ground-truth reward signals.
Engineer verifiers, run reinforcement learning loops, and establish honest baselines to prove agent improvements generalize.
Write first-author research papers and internal technical reports, and represent the work externally through preprints and talks.
Niural is a global payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. It is a relentlessly ambitious team focused on building foundational internet infrastructure for the AI era.
Conduct research on enterprise agentic AI, including agent memory, continuous learning, safety, and privacy.
Leverage unique access to real enterprise deployments to test hypotheses and advance the state of the art.
Publish at top-tier venues and collaborate with cross-disciplinary teams to influence product decisions.
ServiceNow is the AI control tower for business reinvention, bringing together AI, data, and workflows to help 85% of the Fortune 500 work smarter. The company is a global leader with over 8,100 customers, building an AI-native culture where technology and talent are unstoppable together.
Partner with Platform Engineering, Infrastructure, and Developer Productivity to integrate agent capabilities.
Reddit is a community of communities built on shared interests, passion, and trust, with 100,000+ active communities and ~130 million daily active users. We are one of the internet's largest sources of information, fostering open and authentic conversations.
Build and post-train agents for scientific research, including literature search, code execution, and domain tool use.
Develop RL and multi-agent methods for proposing, testing, and critiquing hypotheses, with strong baselines and evaluation.
Design verifiers, reward signals, and reproducible experimental loops for scientific workflows, ensuring evidence-based improvements.
Prime Intellect builds the open superintelligence stack, providing infrastructure for frontier AI labs to train, evaluate, and deploy models at scale. The company has raised $150M from top investors and operators, and is building a culture focused on frontier research, real infrastructure, and go-to-market for a new category.
Develop and implement a comprehensive AI Ethics Framework for People systems and workforce-adjacent AI.
Serve as an independent ethics authority with the mandate to pause, challenge, or escalate AI initiatives posing unacceptable risks.
Design and lead Human Impact Assessments (HIAs) for AI tools and monitor the global regulatory landscape.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company runs the world's largest in-line cloud security platform and fosters an AI-native, collaborative culture.
Develop and improve methods, algorithms, and systems across the lifecycle of reliable AI agents.
Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.
Partner with product and engineering teams to bring AI research into practical applications.
The company builds infrastructure for reliable AI agents in production, targeting enterprise workflows. It is a focused team of researchers and engineers working collaboratively on advancing agentic AI.
Conduct AI research on enterprise agentic systems, focusing on agent memory, continual learning, safety, and privacy.
Work with real enterprise deployments to test hypotheses and advance the state of the art in AI.
Publish findings at top-tier venues and influence technical decisions across product and engineering teams.
ServiceNow is a global cloud platform company that uses AI to connect people, systems, and processes for enterprise business reinvention. The company serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent work together.
Develop and improve AI methods, algorithms, and systems across the lifecycle of reliable agents.
Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.
Turn research ideas into working systems, prototypes, and production-facing capabilities.
The company is a research-focused team developing methods and systems to make AI agents more reliable in production. It operates as a small team with a culture of original research, experimentation, and close collaboration with product and engineering.
Build and own evaluation infrastructure for Circle's AI agents.
Diagnose quality breakdowns across the agent pipeline.
Grow datasets and lead the AI Quality engineering team.
Circle builds an AI-powered all-in-one platform for digital businesses, uniting audiences with discussions, live streams, events, chat, courses, and payments. It's a fully remote team of about 270 people from 30+ countries, with an async culture and annual global offsites.
Architect and scale agentic delivery platforms for application security assessments, threat modeling, and code reviews.
Serve as a security architect and AI strategy lead for client engagements and AI lab partnerships.
Drive secure-by-design AI systems aligned to OWASP, NIST, and MITRE frameworks while mentoring internal teams.
GuidePoint Security provides trusted cybersecurity expertise, solutions, and services that help organizations minimize risk. With over 1,300 employees, it serves more than 6,200 customers and maintains a collaborative culture driven by core values.
Own the roadmap for AI governance solutions and drive them from research prototypes to paid platform capabilities.
Define and monitor product metrics, including assistant activation, completion rate, and AI quality eval pass rates.
Partner with Sales, Marketing, and Customer Success on packaging, pricing, positioning, and launch.
Credo AI builds a governance platform that helps global enterprises manage AI risk and compliance. The company is a fully distributed startup with a culture focused on diversity, equity, and inclusion.
Own the vision for applied AI solutions across Reddit's business and technical functions.
Build AI applications, agents, and automations that solve real business problems.
Mentor engineers and set technical direction for AI-native workflows.
Reddit is a community of communities, hosting open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Train models and evaluate AI systems to deliver world-class AI to the warfighter.
Run experiments in reinforcement learning, pretraining, multimodal training, and related areas.
Work as a self-starter in a fast-paced Series-A startup, interacting with customers and owning projects.
EdgeRunner AI builds secure, edge-deployed AI that helps American warfighters make faster decisions and interact with robotic platforms using natural language. It's a Series-A startup with a remote-first culture and a team of researchers and ML engineers.