Founding ML Engineer

[Stealth AI Startup] Machine Learning Engineer – Vision AI & Generative Modeling

Location: San Francisco (Onsite, 5+ days/week)

Compensation: $140K–$200K+ Visa Sponsorship Available

The Future of AI is Self-Healing. You In?

What if you could build machine learning systems that don’t degrade over time—systems that learn, adapt, and fix themselves without your intervention?

We’re an early-stage, SF-based team backed by top-tier investors and working with the world’s largest manufacturers. Our tech automates deep learning model creation with 90%+ accuracy in under two days—without massive data pipelines or months of training cycles. Instead, we leverage representation learning, generative modeling, and synthetic data to solve real-world computer vision problems fast.

Our mission is simple but radical:

Improve industrial efficiency by 1000x.

What We’re Building

Our proprietary Vision AI system is built for the messy, changing, unpredictable real world—defect detection, pick-and-place robotics, quality control, and more.

No brittle models. No endless re-training cycles.

Just fast, robust, self-healing ML.

Your Role

As a Machine Learning Engineer (MTS), you won’t just be writing papers or prototyping models in isolation. You’ll:

Own applied research around representation learning, diffusion models, and self-supervised learning

Ship deep learning systems that integrate directly with real industrial customers

Shape the core product architecture and influence our long-term technical roadmap

Collaborate across engineering and product to drive tangible impact in days—not quarters

This is a rare opportunity to join at the inflection point—where deep ML meets practical execution.

Must Haves

2–5 years building deep learning and computer vision models, ideally in high-performance environments like NVIDIA or similar

Proven hands-on experience with representation learning, diffusion modeling, or self-supervised learning

You thrive in low-data environments and lean on intuition and experimentation, not just traditional pipelines

Strong systems thinking—comfortable building scalable ML infrastructure

SF-based or willing to relocate (in-office culture, 5+ days/week)

Why Join?

Autonomy + Impact: Lead initiatives that directly impact product and customer success

Tech-First Culture: No red tape, just building

Mission with Teeth: What we're doing has tangible impact on global industries

Visa Support: We’re immigrant-founded and proudly support workers on OPT, H-1B, EB visas, and more