SF-based Staff Engineer for Autonomous Scientific Discovery

Autopoiesis Sciences

San Francisco (CA)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Equity
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Job summary

Autopoiesis Sciences, Inc. in San Francisco is seeking a Member of Technical Staff to advance autonomous scientific discovery through experimental design, training-stack development, and creation of models that push beyond current limits.

You will blend research and engineering, form hypotheses, implement tests, and iteratively improve systems with a focus on scalable, reliable results. The role supports a close collaboration with the founding team.

Qualifications

  • Experience with pretraining, large-scale training, or reinforcement learning.
  • A track record of research contributions, shipped models, or systems others relied on.
  • Familiarity with scientific domains or a genuine curiosity about them.
  • Early-stage startup experience, or the temperament for it.

Responsibilities

  • Drive research on autonomous scientific discovery, from pretraining to the environments and reward signals that teach models to reason like scientists.
  • Design and run experiments end to end, forming hypotheses, building what tests them, and following the evidence.
  • Build and improve the training stack, making runs faster, more reliable, and more ambitious.
  • Turn research into real capability, closing the gap between a promising result and a model that works.
  • Work closely with researchers and the founding team on the hardest parts of the core problem.

Skills

Pretraining
Large-scale training
Reinforcement learning
Research contributions

Job description

Autopoiesis Sciences, Inc. in San Francisco is seeking a Member of Technical Staff to advance autonomous scientific discovery through experimental design, training-stack development, and creation of models that push beyond current limits.

You will blend research and engineering, form hypotheses, implement tests, and iteratively improve systems with a focus on scalable, reliable results. The role supports a close collaboration with the founding team.

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