Morio
## **About the Company**
We are a stealth-stage AI venture emerging from a global leader in energy and industrial innovation. Backed by a committed corporate anchor investor and operating at the intersection of AI, chemistry, and decarbonization, the company is building a category-defining platform to accelerate compound discovery and optimization - starting with critical challenges in energy and emissions.
This is not an idea-stage startup. The venture has a validated technical foundation and a paid commercial pilot with a Fortune 500 energy partner
## **About the Role**
As CTO, you’ll own the end-to-end technical vision for Morio: from AI architecture to lab automation. You’ll take the helm of a platform already showing breakthrough results in CO₂ capture—now ready to scale. You’ll guide the convergence of ML, computational chemistry, and robotic workflows, leading a world-class team to build the industry’s first closed-loop discovery engine for advanced materials.
You’ll work closely with the CEO and Chief Scientist to translate research breakthroughs into scalable, defensible products—and set the technical culture for a high-performance team operating at the intersection of science and engineering.
This is a founder-track role with significant equity and the opportunity to define the category of autonomous science platforms.
## **What You’ll Do**
- **Architect the Platform:** Own the design and buildout of our AI–powered discovery engine and robotic lab infrastructure. - **Lead Engineering & ML:** Direct teams across data engineering, ML, simulation, and lab automation to integrate physical and digital discovery loops. - **Productize Science:** Translate cutting-edge research into scalable APIs, pipelines, and tools. - **Own IP & Infrastructure:** Ensure defensibility via software, models, data, and system architecture. - **Build the Team:** Recruit and mentor top-tier technical talent across ML, software, automation, and data science. - **Partner Closely with Science:** Collaborate with the Chief Scientist and domain experts to bridge chemistry and compute. - **Scale Systems:** Design for reproducibility, experiment tracking, and high-throughput discovery workflows.
## **What We’re Looking For**
- Track record of leading 0–1 product development in AI/ML, scientific computing, or robotics - Experience deploying cloud infrastructure for scientific workflows (e.g., AWS, Azure, GCP, on-prem/hybrid) - Technical fluency across ML, generative models, computational chemistry, or lab systems - Strong instincts for building scalable architecture, balancing rigor with speed - Familiarity with GNNs, diffusion models, active learning, or reinforcement learning in physical contexts - IP experience (software patents, defensible system architecture, etc.)
## **What Sets You Apart**
- Systems Thinker: Sees end-to-end—from lab hardware to ML ops to customer value - Builder’s Mindset: You’re hands-on, yet capable of setting technical strategy and scaling teams - Deep–Tech Operator: Knows what it takes to move from research prototype to product deployment - Customer-Oriented Technologist: Understands how technology enables real-world industrial impact - Collaborative Leader: Thrives at the intersection of science, engineering, and commercial execution
## **Why This Role Matters**
We’re building a system to compress 10–20 year R&D cycles into 1–2 years. The technical architecture you build will define not just the success of this venture—but the blueprint for how industrial science gets done in the AI era.
## Compensation
- Base: $230-260k - Bonus: 10-15% - + Significant Equity
We are a stealth-stage AI venture emerging from a global leader in energy and industrial innovation. Backed by a committed corporate anchor investor and operating at the intersection of AI, chemistry, and decarbonization, the company is building a category-defining platform to accelerate compound discovery and optimization - starting with critical challenges in energy and emissions.
This is not an idea-stage startup. The venture has a validated technical foundation and a paid commercial pilot with a Fortune 500 energy partner
## **About the Role**
As CTO, you’ll own the end-to-end technical vision for Morio: from AI architecture to lab automation. You’ll take the helm of a platform already showing breakthrough results in CO₂ capture—now ready to scale. You’ll guide the convergence of ML, computational chemistry, and robotic workflows, leading a world-class team to build the industry’s first closed-loop discovery engine for advanced materials.
You’ll work closely with the CEO and Chief Scientist to translate research breakthroughs into scalable, defensible products—and set the technical culture for a high-performance team operating at the intersection of science and engineering.
This is a founder-track role with significant equity and the opportunity to define the category of autonomous science platforms.
## **What You’ll Do**
- **Architect the Platform:** Own the design and buildout of our AI–powered discovery engine and robotic lab infrastructure. - **Lead Engineering & ML:** Direct teams across data engineering, ML, simulation, and lab automation to integrate physical and digital discovery loops. - **Productize Science:** Translate cutting-edge research into scalable APIs, pipelines, and tools. - **Own IP & Infrastructure:** Ensure defensibility via software, models, data, and system architecture. - **Build the Team:** Recruit and mentor top-tier technical talent across ML, software, automation, and data science. - **Partner Closely with Science:** Collaborate with the Chief Scientist and domain experts to bridge chemistry and compute. - **Scale Systems:** Design for reproducibility, experiment tracking, and high-throughput discovery workflows.
## **What We’re Looking For**
- Track record of leading 0–1 product development in AI/ML, scientific computing, or robotics - Experience deploying cloud infrastructure for scientific workflows (e.g., AWS, Azure, GCP, on-prem/hybrid) - Technical fluency across ML, generative models, computational chemistry, or lab systems - Strong instincts for building scalable architecture, balancing rigor with speed - Familiarity with GNNs, diffusion models, active learning, or reinforcement learning in physical contexts - IP experience (software patents, defensible system architecture, etc.)
## **What Sets You Apart**
- Systems Thinker: Sees end-to-end—from lab hardware to ML ops to customer value - Builder’s Mindset: You’re hands-on, yet capable of setting technical strategy and scaling teams - Deep–Tech Operator: Knows what it takes to move from research prototype to product deployment - Customer-Oriented Technologist: Understands how technology enables real-world industrial impact - Collaborative Leader: Thrives at the intersection of science, engineering, and commercial execution
## **Why This Role Matters**
We’re building a system to compress 10–20 year R&D cycles into 1–2 years. The technical architecture you build will define not just the success of this venture—but the blueprint for how industrial science gets done in the AI era.
## Compensation
- Base: $230-260k - Bonus: 10-15% - + Significant Equity