Morio
Chief Technology Officer (CTO) - REMOTE (, , United States)
Morio, New York, New York, United States, 27397
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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
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About the Role
As CTO, youll own the end-to-end technical vision for Morio: from AI architecture to lab automation. Youll take the helm of a platform already showing breakthrough results in CO capturenow ready to scale. Youll guide the convergence of ML, computational chemistry, and robotic workflows, leading a world-class team to build the industrys first closed-loop discovery engine for advanced materials.
Youll work closely with the CEO and Chief Scientist to translate research breakthroughs into scalable, defensible productsand 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 Youll Do
Architect the Platform:
Own the design and buildout of our AIpowered 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 Were Looking For
Track record of leading 01 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-endfrom lab hardware to ML ops to customer value Builders Mindset: Youre hands-on, yet capable of setting technical strategy and scaling teams DeepTech 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
Were building a system to compress 1020 year R&D cycles into 12 years. The technical architecture you build will define not just the success of this venturebut the blueprint for how industrial science gets done in the AI era.
## Compensation
Base: $230-260k Bonus: 10-15% + Significant Equity
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, youll own the end-to-end technical vision for Morio: from AI architecture to lab automation. Youll take the helm of a platform already showing breakthrough results in CO capturenow ready to scale. Youll guide the convergence of ML, computational chemistry, and robotic workflows, leading a world-class team to build the industrys first closed-loop discovery engine for advanced materials.
Youll work closely with the CEO and Chief Scientist to translate research breakthroughs into scalable, defensible productsand 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 Youll Do
Architect the Platform:
Own the design and buildout of our AIpowered 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 Were Looking For
Track record of leading 01 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-endfrom lab hardware to ML ops to customer value Builders Mindset: Youre hands-on, yet capable of setting technical strategy and scaling teams DeepTech 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
Were building a system to compress 1020 year R&D cycles into 12 years. The technical architecture you build will define not just the success of this venturebut the blueprint for how industrial science gets done in the AI era.
## Compensation
Base: $230-260k Bonus: 10-15% + Significant Equity