Member of Technical Staff, Safety

abundant

$250K — $450K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in a related field (e.g., CS, ML, NLP) preferred
  • World-class publication record in top-tier conferences (NeurIPS, ICML, ICLR)
  • Proven experience in productizing research with high-stakes evaluation
  • Strong understanding of large-scale agent systems and orchestration frameworks
  • Experience in shaping AI safety and governance policies

Responsibilities

  • Architect and execute foundational capability research within Abundant's focus areas
  • Establish Abundant as a leader in AI post-training safety
  • Identify and build novel tooling to advance safety goals
  • Drive the safety conversation within the AI community
  • Collaborate closely with the founding team to ensure responsible research

Benefits

  • Health, dental, and vision insurance
  • Flexible paid time off (PTO)
  • Performance bonuses tied to project milestones
  • Generous equity grants for early-stage employees
Full Job Description
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

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