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