
Autopoiesis Sciences builds AI models that help researchers generate and validate scientific discoveries across complex domains. The company develops foundational reasoning capabilities and advanced AI architectures to enable autonomous discovery where traditional methods struggle. It provides a B2B AI platform and model-based tools for research teams, integrating with research workflows and data analysis pipelines. Core technologies include next-generation reasoning models, inference engines, and scalable model deployment for technical users.

Autopoiesis Sciences builds AI models that help researchers generate and validate scientific discoveries across complex domains. The company develops foundational reasoning capabilities and advanced AI architectures to enable autonomous discovery where traditional methods struggle. It provides a B2B AI platform and model-based tools for research teams, integrating with research workflows and data analysis pipelines. Core technologies include next-generation reasoning models, inference engines, and scalable model deployment for technical users.
What they do: Build AI models and platform to accelerate scientific discovery, focused on advanced reasoning for life sciences
Stage: Early-stage (Pre-seed/Seed)
Headquarters: San Francisco, California, United States
Founders: Joseph Reth; Eike Gerhardt; Larry Callahan
Notable investors: Informed Ventures; angel and seed investors including Ally Warson, Alpaca VC, Cross Atlantic Angels, Hiro Mizushima
Scientific discovery in biotechnology and medicine; complex-domain reasoning and hypothesis generation/validation.
2025
Biotechnology
Crunchbase lists one disclosed funding round with multiple angel and seed investors; amount obfuscated/undisclosed.
“Syndicate of angel and seed investors including Informed Ventures as lead”
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About The Role
Autopoiesis Sciences is an applied AI lab based in San Francisco, California on a mission to accelerate scientific discovery across every discipline. We're building AI systems from first principles, developing novel architectures that combine calibrated confidence estimation with reinforcement learning from experimental outcomes. Our approach learns optimal research strategies directly from real-world scientific practice, training on experimental results, publication impact, and validated discoveries rather than static knowledge alone. By closing the loop between AI hypothesis generation and experimental validation, we're creating systems that know what they don't know and improve through ground truth from nature itself. Backed by Informed Ventures, Alpaca VC, Cross Atlantic Angels, Adam Grosser, Ally Warson, Mike Mahlkow, Hiro Mizushima, and others, we're preparing to release our systems to the research community. We invite you to join us in building the future of scientific intelligence.
Autopoiesis Sciences is headquartered in San Francisco, with a growing engineering team in Toronto. This is a fully remote position for candidates based in the Greater Toronto Area.
Who We're Looking For
The breakthroughs that actually change the world come from people who refuse to accept "impossible" as an answer. We want individuals who approach their work with intellectual humility. People who know that despite all the progress in frontend engineering, we're still scratching the surface of what's possible. You should be comfortable admitting what you don't know, but absolutely relentless about figuring it out. The kind of person who, when faced with a problem everyone says can't be solved, treats that as the starting point rather than the conclusion.
This isn't a role for people who need their hands held or who expect clear answers to ambiguous problems. Scientific superintelligence won't be built by following established playbooks. It requires questioning assumptions, rebuilding from first principles when necessary, and maintaining conviction even when the path forward is unclear. We need people who derive energy from hard problems and won't settle for "good enough" when breakthrough solutions are possible.
If you're someone who sees the current state of user interfaces for AI systems and thinks "we can do better," who believes the most important work is still ahead of us, and who's willing to put in whatever it takes to get there, we want to hear from you.
Areas of Focus
About the Role
Autopoiesis Sciences is seeking exceptional Frontend Engineers to help build the interfaces through which researchers will interact with our AI systems. As a Frontend Engineer, you will craft the experiences that translate complex scientific AI capabilities into intuitive, powerful tools for the research community. You'll build interfaces that surface AI-generated hypotheses, visualize experimental results, and enable researchers to collaborate with our systems in ways that amplify human scientific intuition.
While our AI systems do the heavy lifting of scientific reasoning, the interface is where discovery becomes tangible. You'll work on products that need to communicate uncertainty, present multi-dimensional data, and support workflows that don't yet exist in any established playbook. This role offers the opportunity to define what human-AI collaboration looks like in scientific research, building experiences that will be used by researchers pushing the boundaries of their fields.
Responsibilities
Qualifications
Compensation and Benefits
Competitive compensation, equity, and benefits
Collaborate in building a thoughtful, mission-driven team culture focused on scientific discovery
Frequent team events, dinners, off-sites, and gatherings
Compensation packages are highly variable based on experience, expertise, and contribution potential
Get To Know Us
We're a dedicated team of scientists, researchers, and engineers who believe deeply in the transformative potential of our work. You'll work closely with our leadership team including Chief Executive Officer Joseph Reth (Attended University for CS at 14, former DARPA), Chief Business Officer Dr. Eike Gerhardt (University of Tübingen PhD, University of Tübingen staff), and Chief Scientist Dr. Larry Callahan (University of Chicago PhD, former FDA, former NIH).
Application Process: Due to the high volume of automated applications, we only accept applications through LinkedIn as it helps us connect with genuine candidates. We have systems in place to detect automated submissions and strongly advise against using bots or automated tools in your application process. Please be human in your approach.
Equal Opportunity: Autopoiesis Sciences, Inc. is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or any other legally protected characteristics.