Stealth AI Startup Machine Learning Engineer - Vision AI & Generative Modeling Location: San Francisco (Onsite, 5+ days/week)
Compensation: $140K-$200K+ Visa Sponsorship Available
Join Us in Shaping the Future of AI. Imagine being part of a cutting-edge team creating machine learning systems that learn, adapt, and heal themselves without needing constant supervision. Our early-stage, San Francisco-based startup is backed by top-tier investors and collaborates with the world's leading manufacturers. We specialize in automating deep learning model creation with exceptional accuracy-achieving over
90% accuracy in under two days-without the need for massive data pipelines or lengthy training cycles. We harness
representation learning, generative modeling, and synthetic data to tackle pressing real-world computer vision challenges quickly.
Our ambitious mission is straightforward yet transformative:
Enhance industrial efficiency by 1000x. What We Are Creating
Our innovative Vision AI system is designed to handle the chaos, evolution, and unpredictability of real-world applications such as defect detection, pick-and-place robotics, and quality control.
No fragile models. No prolonged re-training cycles. Just rapid, resilient, self-healing ML.
Your Opportunity
As a
Machine Learning Engineer (MTS), you won't be confined to writing papers or prototyping models alone. You will:
- Drive applied research in representation learning, diffusion models, and self-supervised learning
- Deliver deep learning systems that integrate seamlessly with industrial clients
- Influence the core product architecture and shape our technical future
- Collaborate across engineering and product teams to achieve impactful results in days, not quarters
This is a unique chance to join at a pivotal moment where advanced machine learning converges with real-world application.
Essential Qualifications
- 2-5 years of experience in developing deep learning and computer vision models, preferably in high-performance settings like NVIDIA or similar environments
- Demonstrated hands-on expertise with representation learning, diffusion modeling, or self-supervised learning
- Adept at navigating low-data environments and leveraging intuition and experimentation over traditional practices
- Strong systems thinking skills-comfort with building scalable ML infrastructure
- Residing in San Francisco or prepared to relocate (in-office culture, 5+ days/week)
Why Join Us?
- Autonomy + Impact: Take the lead on initiatives that significantly affect product performance and customer satisfaction
- Tech-First Culture: Enjoy a dynamic environment free of bureaucratic obstacles, focusing on innovation
- Mission-Driven: Contribute to efforts that make a measurable difference in global industries
- Visa Support: We're proud to be immigrant-founded and actively support workers on OPT, H-1B, EB visas, and more