Machine Learning Engineer at YC-backed AI startup for clean energy discovery
Jack & Jill
📍 San Francisco, California, US0💼 Full-time🕐 6/3/2026
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Role overview
Jack & Jill is hiring for the Machine Learning Engineer at YC-backed AI startup for clean energy discovery role in San Francisco, California, US. It is full-time, Senior level, in the Tech sector. It was posted 6/3/2026.
On TalentyGo you can review this job and apply more effectively: Charlie prepares an ATS-optimized resume and a cover letter tailored to "Machine Learning Engineer at YC-backed AI startup for clean energy discovery" at Jack & Jill in about a minute. Before you apply, you can also check how well your profile fits, with a match score based on skills, experience, location and seniority.
- Role
- Machine Learning Engineer at YC-backed AI startup for clean energy discovery
- Company
- Jack & Jill
- Location
- San Francisco, California, US
- Work mode
- On-site
- Employment
- Full-time
- Seniority
- Senior
- Sector
- Tech
- Posted
- 6/3/2026
Description
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network.
The next step is to speak to Jack.
Job Title
Machine Learning Engineer
Salary
Not Disclosed
Company Description
YC and General Catalyst-backed startup using AI for uranium discovery to power the clean energy transition
Job Description
As the first dedicated ML hire, you will build the core systems that drive nuclear fuel discovery. You'll train custom computer vision models on complex, sparse geological data and deploy them into production. This is a high-impact role solving novel problems without an off-the-shelf playbook to address the global energy crisis.
Location
San Francisco, USA
Why this role is remarkable
Join as the first dedicated ML engineer at an early-stage company backed by premier investors including General Catalyst, 776 Ventures, and Y Combinator.
Tackle a unique, high-stakes problem: using AI to solve the structural uranium shortage and enable scalable, clean baseload energy for the planet.
Lead the development of a build-from-zero ML stack where you have full ownership over model architecture and production pipelines for multi-modal data.
What You Will Do
Design and train computer vision models from scratch using messy, sparsely-labeled geospatial and geological data sets.
Build and maintain the end-to-end ML production pipeline that translates model outputs into real-world discovery decisions.
Synthesize recent ML research into practical, shipped systems that address ambiguous problems in the nuclear energy sector.
The ideal candidate
Has 5+ years of professional ML experience with a proven track record of taking complex systems from concept to production.
Possesses deep expertise in computer vision and the ability to work comfortably with non-standard or sparse-label regimes.
Thrives in early-stage environments, demonstrating the ability to frame and solve ambiguous problems independently in a fast-paced San Francisco office.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
The market for this role in San Francisco
TalentyGo lists 5318 similar roles (505 in San Francisco), 22% remote. Charlie ranks them against your CV, each with a clear score.
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