Job Description

This is a remote position.

What is allUP?  Morio AI has partnered with allUP to help streamline their hiring process. allUP is a new professional network and recruiting firm built around casual videos that will make it easier for Morio AI to get to know you beyond just a resume.

About our client:  Morio AI is stealth-stage AI venture is 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, this person will own the end-to-end technical vision for Morio: from AI architecture to lab automation. They will take the helm of a platform already showing breakthrough results in CO₂ capture—now ready to scale. They will 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.

They will 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 build out of the 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.
  

Requirements

What They’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:   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

Benefits

Why This Role Matters:  They are building a system to compress 10–20 year R&D cycles into 1–2 years. The technical architecture this person builds will define not just the success of the venture—but the blueprint for how industrial science gets done in the AI era.

Compensation

Base:  $230–260k

+ Bonus:  10–15%
+ Significant Equity

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