About The Role

At Autopoiesis Sciences, we're building the foundation for scientific superintelligence, AI that can autonomously advance knowledge across every scientific discipline. We're first developing an AI co-scientist that applies the same systematic doubt and verification that drives human scientific breakthroughs, establishing the reasoning capabilities necessary for true scientific autonomy. This represents the critical first stage toward systems that can eventually operate laboratories autonomously, design their own research programs, and pursue discoveries beyond human imagination. Backed by leading venture capital firms and with thousands of scientists from top universities already requesting early access, we're currently preparing to release our AI co-scientist to the scientific community.

Research Areas of Interest

RL methods for scientific reasoning and discovery
Epistemological frameworks for AI systems
Autonomous experimental design and hypothesis generation
Scientific literature analysis and knowledge synthesis
Verification systems for scientific claims and reproducibility
Multi-agent collaboration for research tasks
LLM training for domain-specific scientific reasoning

Autopoiesis Sciences is seeking exceptional Research Engineers to help build the foundation for scientific superintelligence. As a Research Engineer, you will drive the development of novel AI systems that tackle complex scientific challenges and push the boundaries of autonomous research capabilities. Our team operates with fluid boundaries between research and engineering, where you'll lead both theoretical breakthroughs and their implementation into production systems. This role offers the rare opportunity to work on AI systems that could fundamentally transform how scientific discovery is conducted across all disciplines. We're looking for researchers who combine deep algorithmic innovation with strong engineering execution and a passion for advancing the frontiers of AI.

Responsibilities

Lead the design and implementation of massive-scale distributed training systems that enable autonomous agents to perform scientific reasoning, literature review, hypothesis generation, and experimental design
Pioneer novel algorithms and training methodologies that incentivize rigorous scientific methodology, including systematic doubt, peer review, and reproducible research practices
Collaborate with domain scientists and philosophers of science to encode epistemological principles into AI systems that can distinguish valid scientific reasoning from speculation
Architect comprehensive evaluation frameworks that measure scientific reasoning capabilities, discovery potential, and adherence to proper epistemic standards across multiple domains
Drive state-of-the-art advances in autonomous research systems through innovative approaches to training, architecture, and inference optimization
Lead research initiatives from conception through production deployment, balancing theoretical rigor with practical implementation
Shape technical strategy and engage with researchers from top universities to gather feedback and drive adoption of our AI co-scientist

Qualifications

Strong experience with modern ML systems and ability to design and implement distributed machine learning at scale
Excellent engineering skills including writing production-quality ML code and system optimization
Experience with autonomous agents, multi-step reasoning, and decision-making systems
Ability to develop novel training approaches, evaluation methods, and reward structures for complex reasoning
Deep understanding of modern ML research and scientific computing
5+ years of ML research or industry experience
PhD preferred, Master's minimum in Computer Science, Machine Learning, Mathematics, Physics, or related quantitative field

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. If your expectations fall outside our stated range, we encourage you to apply regardless. The cash compensation range for this role is $120,000 USD - $280,000 USD, plus equity

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), Chief Scientist Dr. Larry Callahan (University of Chicago PhD, former FDA, former NIH), and our newly announced President and Head of Scientific Superintelligence Kavita Kulkarni (former Global Head of Strategy and Partnerships for Biomedical Superintelligence at Google, core team member for Google's AI Co-Scientist).

Application Process: 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.

Job Type: Full-time

Pay: $120,000.00 - $280,000.00 per year

Benefits:

401(k) matching
Health insurance

Work Location: In person

Autopoiesis Sciences

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