--- title: "Member of Technical Staff, Safety" company: "Abundant" company_url: "https://www.remjobs.works/companies/abundant" url: "https://www.remjobs.works/job/abundant-member-of-technical-staff-safety-59c3e1cf-db9f-457f-83f4-ff612611ed65" apply_url: "https://jobs.ashbyhq.com/abundant/0d11f5c1-036f-4ef9-872f-f9407fb79d57" workplace: onsite location: "San Francisco" employment_type: full-time seniority: staff role: software-engineering region: united-states skills: ["nlp"] date_posted: 2026-09-16T12:03:55.658Z first_seen_by_remjobs: 2026-09-16T12:19:20.453Z --- # Member of Technical Staff, Safety **Abundant** · San Francisco Apply: https://jobs.ashbyhq.com/abundant/0d11f5c1-036f-4ef9-872f-f9407fb79d57 ## About Abundant Hello! 👋 We are a team of former ML engineers, founders, roboticists and ops leads who obsess about data and its impact on safe, reliable AI. We specialize in creating environments and datasets for RL by leveraging our experience in simulation and model training. By the numbers: • Powering 3 of the top 6 global AI labs and multiple Fortune 500 enterprises • Billions of training tokens generated each month, 2x month over month • Exclusive, global network of over 500 domain experts We believe humans are inherently creative, and thrive by pushing the frontier. We are working towards an abundant future--one where everyone has access to infinite intelligence, services and goods. Based in San Francisco, CA. We enjoy good food and good company. -- more info below -- Abundant is building the NVIDIA of training data. AI models rely on two fundamental ingredients: compute and data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience. Our founding team consists of second-time founders, ML engineers and data leads from Waymo, Google, Meta and AWS. Our team has previously collaborated with DeepMind to classify hate speech in YouTube videos, trained SOTA models for self-driving, and scaled data pipelines with thousands of human annotators. Our pioneering work in human computation, synthetic data, imitation learning and RL give us a solid advantage in delivering results to our customers. Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require new, diverse, and high-quality datasets, making training data more important and scarce than ever before. What happens if we succeed? Abundant will be the core enabler for AGI and beyond. Most of the challenges in model training are already solved. What’s missing is the data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from digital intelligence to physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, i.e. “abundant data”. Abundant works with the most advanced AI labs and startups, as well as F500 enterprises. ## About the role ### BOUT ABUNDANT [Abundant](https://abundant.ai) is a research lab focused on identifying approaches to solve the longest-horizon tasks. We pride ourselves on having an extremely talent-dense team united behind our long-term approach to building businesses. ### THE ROLE As a Member of Technical Staff with a focus on Safety, you will work directly with Abundant's founding team to ensure that the research we are producing is conducted in a responsible manner and will benefit society as a whole. You will embed AI safety principles in to all of our company's workflows and products. ### WHAT YOU’LL DO - Foundational Capability Research & Execution: Architect and execute research nested within Abundant's focus areas (long-horizon and simulation) - Drive the conversation: Establish Abundant as a leader in AI post-training safety. - Build novel tooling: Identify opportunities to build tooling that can help Abundant further our safety goals. ### WHO YOU ARE - Exceptional Research Depth & Strategic Vision: A PhD in a related field (e.g., CS, ML, NLP) with a world-class publication record (NeurIPS, ICML, ICLR) is preferred. You must possess the velocity to master complex fields and a proven track record in the productization of research, encompassing high-stakes evaluation, large-scale benchmarking, and product feature development.Proven experience shipping research directly to production and live systems, specifically focusing on advanced post-training, distillation, and high-stakes evaluation methodologies. - Large-scale agent systems: orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure. - Strategic & Ethical Leadership: You possess a thoughtful, strategic perspective on the societal and safety impacts of deploying general-purpose AI systems. Experience advising on or shaping governmental policy related to AI safety and governance is preferred. ### COMPENSATION **Base Salary** $250,000 - $450,000 **Cash Bonus** Sizable performance bonus tied to project and company milestones **Equity** Generous early-stage grant **Benefits** Health, dental, vision + flexible PTO --- Source: Abundant's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/abundant-member-of-technical-staff-safety-59c3e1cf-db9f-457f-83f4-ff612611ed65