AI / Machine Learning Lead (fast track to CTO)
- Salary not listed
- Posted last week · via email
Lead AI and ML layer across three energy-specific SaaS products
Lead the AI and machine learning layer across three energy-specific products, working directly with the CEO and existing development team. You will take software from prototype to deployed, maintain it in production, and ensure AI systems are auditable, accurate, and defensible in a regulated environment. This is a fast-track-to-CTO role with equity compensation during the pre-investment phase.
Why This Role?
Fast track to CTO with direct founder access and real impact from day one
Key Responsibilities
- Lead AI and ML development across three energy-specific SaaS products
- Translate business requirements into technical specifications for the CEO
- Deploy and maintain production AI/ML systems used by real customers
- Work within an existing codebase to improve and extend legacy software
- Ensure AI systems are auditable, accurate, and defensible in regulated environments
- Collaborate with the development team on architecture through deployment
Requirements
- Built and deployed at least one production AI or ML system used by real customers
- Experience working in an existing codebase, not just greenfield development
- Led or been a senior contributor on a SaaS product from architecture through deployment
- Comfortable translating business needs into technical specs without detailed direction
- Understand the difference between model performance in testing and reliability in production
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from HN Who is HiringShow more
Original description from HN Who is Hiring
8X Energy | AI / Machine Learning Lead (fast track to CTO) | Frederick MD or Remote | Equity We are building the AI-powered energy decision infrastructure SaaS for the commercial energy transition. USPTO non-provisional patent pending on the core methodology. Live pilot project underway at a Maryland nonprofit technology incubator. The company is pre-investment. We are in active seed raise discussions and have enterprise pilot confirmations from Pharmaceutical, Electric Companies, National Energy trading platforms, and federal agencies. What we need: An AI and machine learning lead who has shipped production SaaS before. Not a researcher. Not a consultant. Someone who has taken software from prototype to deployed, maintained it in production, and knows what breaks when real users engage. You should be comfortable with the full stack from model development through deployment and understand what it means to build AI systems that need to be auditable, accurate, and defensible in a regulated environment. Energy domain experience is a plus but not required. The ability to learn a domain fast is required. Specific experience we are looking for: You have built and deployed at least one production AI or ML system that real customers use today. You have legacy software development capability meaning you can work in an existing codebase, not just greenfield. You understand the difference between a model that performs well in testing and a system that works reliably in production. You have led or been a senior contributor on a SaaS product from architecture through deployment. You are comfortable working with a non-technical founder CEO and translating business requirements into technical specifications without waiting for someone to tell you exactly what to build. The role: You would be leading the AI and machine learning layer across three energy specific products, working directly with the CEO and the existing development team. The fast track to CTO is real. We need a technical leader, who may be an individual contributor today, and the equity structure reflects that. Compensation: Pre-investment: equity only, 3.5% to 7.5% depending on experience and contribution level, with vesting on a standard 4-year schedule with a 1-year cliff. Post-investment: market-rate salary plus retained equity. We are not asking you to work for free indefinitely. We are asking you to believe in the upside long enough to get to the raise, which is actively in process. Location: Frederick, Maryland preferred. Remote for the right person. T o apply or learn more: Email john.dukes@8xenergy.com with a brief description of the production AI system you are most proud of shipping and why. No recruiters.
Salary Context
Similar AI roles on LokerDollar pay around $224.4k/yr (range $115.7k–402k/yr, n=30 active listings).
Market context
- ESTIMATEEstimated pay is 2% above the role median of $224,375/year (n=30 pay-disclosing listings).
- VERIFIED8X Energy: 1 postings in the last 3 months, 1 all-time on LokerDollar.
- VERIFIEDCompany first seen Oct 5, 2026.
- VERIFIEDThis listing first seen Oct 5, 2026.
- VERIFIEDLast verified live Oct 5, 2026.
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Frequently asked questions
- Is AI / Machine Learning Lead (fast track to CTO) at 8X Energy a remote job?
- Yes, AI / Machine Learning Lead (fast track to CTO) at 8X Energy is remote, but the employer did not state which countries can apply. Check the listing before applying.
- What type of employment is AI / Machine Learning Lead (fast track to CTO) at 8X Energy?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at 8X Energy.
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