Why this grade
This listing scored 70/100, which is a B. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
hn-hiring
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 [email protected] with a brief description of the production AI system you are most proud of shipping and why. No recruiters.
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Keep looking
Similar remote roles, still open
-
B
8h ago
Program Manager, Tooling and Integrations
Waymo United States $190k - $234k/yr
-
B
16h ago
Logistics Management Institute United States $135k - $230k/yr
-
B
1d ago
3D & LiDAR Data Annotation Analyst
Appen Anywhere
-
C
1d ago
Jumio Anywhere in the World
See every "AI Machine Learning" role →
Get new “AI Machine Learning” roles by email
One email a day with what is new in "AI Machine Learning". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 05 Oct 2026 Hacker News first sighting
Seen on 1 board over 0 days.