Member of Technical Staff – Safety
abundant · San Francisco
Job description
About the role
Abundant is a research lab focused on long‑horizon AI challenges. As a Member of Technical Staff with a focus on Safety, you will partner with the founding team to embed AI safety principles across all workflows and products, ensuring responsible research that benefits society.
Key responsibilities
- Architect and execute foundational safety research aligned with Abundant’s long‑horizon and simulation focus.
- Position Abundant as a leader in post‑training AI safety through thought leadership and community engagement.
- Identify, design, and build novel tooling to advance the company’s safety objectives.
Required profile
- PhD in Computer Science, Machine Learning, NLP, or a related field with a strong publication record (NeurIPS, ICML, ICLR preferred).
- Proven ability to ship research into production, especially in post‑training, distillation, and high‑stakes evaluation.
- Experience with large‑scale agent systems, orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure.
- Strategic understanding of societal and safety impacts of general‑purpose AI, with experience advising on policy a plus.
Required skills
- Machine Learning research and development
- Large‑scale distributed systems
- Orchestration frameworks and tool APIs
- Observability and logging infrastructure
What we offer
- Base salary $250,000 – $450,000 per year
- Sizable performance bonus tied to project and company milestones
- Generous early‑stage equity grant
- Health, dental, vision benefits and flexible PTO
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Published 2 weeks ago
Expires 1 month from now
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abundant
San Francisco
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