Job Description

[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

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