Member of Technical Staff, Safety
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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.
What they're looking for
- 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.
Nice to have
- A PhD in a related field (e.g., CS, ML, NLP) with a world-class publication record (NeurIPS, ICML, ICLR) is preferred.
- Experience advising on or shaping governmental policy related to AI safety and governance is preferred.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
BOUT ABUNDANT
Abundant 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
Company
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