As the Founding AI Engineer at Tyle, you will architect and scale the core computer vision system from day zero. You’ll own the end-to-end pipeline, from signal capture and data curation to training multimodal models that interpret biological signals. Working alongside elite founders, you will define the technical foundation of a new category of preventative health infrastructure.
Founding AI Engineer at Tyle
Tyle is building the visual biomarker layer for human health—proprietary imaging hardware paired with multimodal AI that reads biological signals from the body surface. Founded by leaders from Google and Meta and backed by a16z, Tyle is creating a new category of longitudinal health intelligence. As a Founding AI Engineer, you'll own the end-to-end CV system, translating research into real-world impact. With a $170k-$225k salary and up to 5% equity, this is a rare chance to define health infrastructure from first principles and work on technical problems that change what medicine can see.
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Location
San Francisco and Los Angeles, United States
Compensation
$170k-$225k + Equity
Company
Tyle
Role overview
Tyle is building the visual biomarker layer for human health.
Computer vision and multimodal AI now make it possible to extract meaningful biological signals from visual data at scale. Skin and other observable traits contain far more information about systemic health than is currently captured or utilized. We are building the models and infrastructure to capture, interpret, and continuously learn from those signals.
Founded by engineers and product leaders from Meta and Google.
What you will do
- Architect and evolve the complete computer vision stack, optimizing the journey from raw sensor data to production-ready biological insights.
- Translate emerging research and state-of-the-art multimodal techniques into reliable, high-performance models capable of operating in real-world clinical conditions.
- Build the foundational data infrastructure and training loops required to scale longitudinal health intelligence and improve model performance continuously.
Who this is a fit for
- Possesses deep expertise in training and deploying computer vision or multimodal AI models that have been proven in production environments.
- Demonstrates a rapid ability to move from research papers to functional prototypes, balancing scientific rigor with the speed of a stealth-stage startup.
- Thrives in a hands-on, generalist role, comfortably navigating between model development, hardware integration, and high-level technical strategy.
Why this role is remarkable
- Join a high-pedigree founding team consisting of a 12-year Meta engineering leader and Google’s former Head of Product for Discovery & Applied AI.
- Work on a zero-to-one challenge at the intersection of custom hardware and cutting-edge multimodal AI, backed by the a16z Explorer Fund.
- Exercise true founding-level ownership with a significant equity stake of up to 5% and the autonomy to design technical systems without legacy constraints.
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