Jobs at hud

Research Engineer focused on privacy and anonymization at HUD. This role involves building systems to detect and remove sensitive information like PII and secrets from data to ensure its safety for AI training. Responsibilities include developing detection methods, creating production anonymization pipelines, and designing evaluation frameworks for privacy risk and data utility.

Growth Lead at HUD, focused on connecting the company with the right people, including candidates, AI engineers, and researchers. This role involves evangelizing HUD's vision, defining culture, and managing the end-to-end recruiting process.

HUD is hiring a Marketing & Events Lead to tell their story about building infrastructure for RL training data and a marketplace for frontier AI agents. This role will own marketing strategy, content, social media, and event planning to highlight HUD's unique marketplace model and open RL training vision.

Product Manager for HUD's data marketplace. This role involves owning the marketplace product lifecycle, improving vendor onboarding and submission processes, and enhancing how research teams discover and access data. The Product Manager will collaborate with engineering, research, and GTM teams to translate needs into product decisions and track marketplace health.

HUD is hiring a Head of Talent to recruit engineers and GTM leaders for their AI training data and marketplace company. The role involves end-to-end recruiting, building recruiting operations, partnering with founders, and defining performance review processes.

HUD is seeking a Senior Software Engineer, Infrastructure to own the reliability, scale, performance, and developer experience of their core infrastructure and backend systems. This role involves working across AWS, Kubernetes, and CI/CD to improve system performance, cost-efficiency, and developer productivity.

Research Engineer for the Robotics team at HUD, focusing on developing datasets and evaluations for training and evaluating embodied AI systems. Responsibilities include researching data needs, defining data specifications, building validation tools, and running experiments to improve model performance.

HUD is seeking a GTM Lead, Commercial Partnerships to drive outbound sales for their RL training data and evaluation marketplace. This role involves technical conversations, closing deals with ML engineers and AI researchers, and building scalable GTM workflows.

HUD is seeking a Forward Deployed Research Engineer to implement solutions for their RL training data and marketplace platform. This role involves diagnosing and resolving ambiguous technical problems, building tools, and coordinating with research and GTM teams to support customer and partner requests.

HUD is seeking a Full-Stack Software Engineer, Reinforcement Learning to build product surfaces, backend systems, and internal tools for their RL data engine. The role involves owning product surfaces end-to-end, including backend services, APIs, databases, dashboards, and tools, and translating research needs into polished products.

HUD is seeking talent across Research, Engineering, GTM, and Operations. Candidates are encouraged to pitch their contributions and demonstrate extraordinary evidence of their skills and relevance to HUD's work in building RL training data and evaluation infrastructure for frontier AI agents.

HUD is seeking a Business Development Lead to manage their outbound sales pipeline end-to-end. This role involves identifying and engaging technical buyers like ML engineers and AI researchers, building GTM workflows, and using AI tools to scale outreach and sales efforts.

Research Engineers at HUD will design, implement, and ensure the quality of internal agent benchmarks for evaluating frontier AI agents. Responsibilities include defining tasks with subject-matter experts, building infrastructure for model execution, developing metrics, and validating benchmark performance against real-world needs.

Recruiter at HUD, a company building infrastructure for RL training data and evaluations. This role focuses on hiring strong engineers and GTM leaders to support rapid growth, with an emphasis on identifying exceptional talent for a lean team.

Research Engineers at HUD will automate Quality Control (QC) for training data generated by companies using HUD's infrastructure. Responsibilities include building QC systems based on human judgment, defining quality standards, designing experiments to grade agent outputs, and collaborating with data vendors to resolve quality issues.

Technical Program Manager at HUD responsible for owning complex data and evaluation programs for frontier AI labs. This role involves translating ambiguous technical requests into executable programs, coordinating resources, ensuring data quality for LLM evaluation, and managing vendor relationships and delivery pipelines.

HUD is seeking a Design Engineer to design and build user interfaces for their platform, which creates RL training data and evaluations for AI agents. The role involves making complex workflows understandable and actionable, working closely with research and engineering teams, and gathering user feedback to improve the product.

Research Engineers at HUD will build the company's synthetic data pipeline. Responsibilities include creating synthetic training tasks for AI agents, designing task generation methods, building tooling for task mutation and validation, and analyzing agent performance on synthetic data.

HUD is seeking a Business Operations generalist to manage the company's operating systems. This role involves supporting hiring, finance, marketing, and special projects, with a focus on building scalable systems and drafting public-facing content.

Lead Research Engineer, Data Quality at HUD responsible for measuring, improving, and scaling the quality of training data for frontier AI agents. This role involves leading a team to build systems for evaluating tasks across RL environments, synthetic data, and benchmarks, and developing methods for validating synthetic data at scale.

GTM Engineer at HUD, a company building infrastructure for RL training data and evals for AI agents. This role focuses on finding and selling to technical buyers like ML engineers and AI researchers at scale, requiring both technical conversation skills and closing ability.

HUD is seeking a Research Manager to lead research efforts focused on improving the usefulness of their RL training data and evals for frontier AI agents. This role involves guiding research engineers through ambiguous projects, developing scalable methods, and staying close to the technical work to ensure rigorous experimentation and impactful results.

Research Engineers at HUD build the technical foundation for training and evaluating frontier AI agents. Responsibilities include building systems for creating and improving agent training environments, designing experiments to understand model behavior, and developing tools for creating higher-quality tasks and trajectories.

Product Manager for HUD's data marketplace. This role involves owning the product lifecycle for the marketplace, improving vendor onboarding and buyer discovery of RL environments and training data, and translating user needs into product decisions. The Product Manager will work closely with engineering, research, and go-to-market teams.