Tyle · 5 hours ago
Applied AI Engineer, Computer Vision & Machine Learning
San Francisco Bay Area
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $200K/yrTyle is building the visual biomarker layer for human health, utilizing computer vision and multimodal AI to extract biological signals from visual data. They are seeking a Founding Engineer to take ownership of their core technology stack, improve model performance, and scale their computer vision system.
Retail
Responsibilities
Own and evolve the end-to-end computer vision system, from signal capture and data curation through model training, evaluation, and deployment
Improve real-world model performance by refining data pipelines, feedback loops, and evaluation methodology
Architect and scale the infrastructure that supports reliable inference, monitoring, and iteration in production
Contribute across the stack where needed, including capture systems, backend services, and user-facing product surfaces
Set technical direction and engineering standards as the company grows
Qualification
Required
Deep experience in computer vision
Built, trained, and deployed models that perform in real-world conditions
Understanding of data quality, labeling strategy, evaluation methodology, and constraints affecting model performance in production
Comfortable reading research papers, reproducing results, and adapting state-of-the-art techniques to practical constraints
Ability to distinguish between promising ideas and production-ready approaches
Ability to turn experiments into reliable systems
Operate comfortably as an AI generalist, moving between model development, experimentation infrastructure, and production deployment
Design clear systems, write maintainable code, and make sound architectural decisions under ambiguity
Effectively leverage modern AI-assisted tools and workflows to accelerate development, automate repetitive tasks, and improve system design
Maintain a strong bar for correctness, performance, and reliability
Hands-on role with majority of time spent building, experimenting, and shipping
Value clear thinking, written design, measurable progress, and fast iteration grounded in data
Preferred
Experience with proprietary imaging hardware
Experience with capture software
Experience with data infrastructure
Experience with proprietary multimodal models
Experience with live product interfaces
Experience in setting technical direction and engineering standards
Benefits
Meaningful equity participation
Company
Tyle
Tyle is reimagining preventative health, starting with your skin — your body's largest and most visible organ.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase