Founding AI Engineer ($170k – $225k + Equity) at Tyle
Job Description
- Architect and scale the core computer vision system from day zero.
- Own the end-to-end pipeline, from signal capture and data curation to training multimodal models that interpret biological signals.
- Define the technical foundation of a new category of preventative health infrastructure.
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.
About the Role
The Founding AI Engineer at Tyle will be responsible for architecting and scaling the core computer vision system, translating emerging research and state-of-the-art multimodal techniques into reliable, high-performance models, and building the foundational data infrastructure and training loops required to scale longitudinal health intelligence and improve model performance continuously.
Responsibilities
- Architect and scale the core computer vision system from day zero.
- Own the end-to-end pipeline, from signal capture and data curation to training multimodal models that interpret biological signals.
- Define the technical foundation of a new category of preventative health infrastructure.
Requirements
- 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.
Qualifications
- PhD in Computer Science, Electrical Engineering, or related field.
- At least 5 years of relevant industry experience.
- Experience with computer vision, multimodal AI, and machine learning.
- Strong understanding of signal processing, image analysis, and data curation techniques.
- Ability to work independently and collaboratively with a diverse team.
Skills
- Deep expertise in training and deploying computer vision or multimodal AI models.
- Rapid ability to translate research into functional prototypes.
- Hands-on experience with hardware integration and technical strategy.
Benefits
- Competitive salary range of $170k - $225k plus equity.
- Opportunity to join a high-pedigree founding team.
- Autonomy to design technical systems without legacy constraints.
Schedule
Full-time remote position with flexibility to work from San Francisco and Los Angeles, USA.
Pay
Competitive salary range of $170k - $225k plus equity.
Skills
- Deep expertise in training and deploying computer vision or multimodal AI models.
- Rapid ability to translate research into functional prototypes.
- Hands-on experience with hardware integration and technical strategy.
Benefits
- Competitive salary range of $170k - $225k plus equity.
- Opportunity to join a high-pedigree founding team.
- Autonomy to design technical systems without legacy constraints.
Schedule
Full-time remote position with flexibility to work from San Francisco and Los Angeles, USA.
Pay
Competitive salary range of $170k - $225k plus equity.
Qualifications
- PhD in Computer Science, Electrical Engineering, or related field.
- At least 5 years of relevant industry experience.
- Experience with computer vision, multimodal AI, and machine learning.
- Strong understanding of signal processing, image analysis, and data curation techniques.
- Ability to work independently and collaboratively with a diverse team.
Skills
- Deep expertise in training and deploying computer vision or multimodal AI models.
- Rapid ability to translate research into functional prototypes.
- Hands-on experience with hardware integration and technical strategy.
Benefits
- Competitive salary range of $170k - $225k plus equity.
- Opportunity to join a high-pedigree founding team.
- Autonomy to design technical systems without legacy constraints.
Schedule
Full-time remote position with flexibility to work from San Francisco and Los Angeles, USA.
Pay
Competitive salary range of $170k - $225k plus equity.
Qualifications
- PhD in Computer Science, Electrical Engineering, or related field.
- At least 5 years of relevant industry experience.
- Experience with computer vision, multimodal AI, and machine learning.
- Strong understanding of signal processing, image analysis, and data curation techniques.
- Ability to work independently and collaboratively with a diverse team.
Skills
- Deep expertise in training and deploying computer vision or multimodal AI models.
- Rapid ability to translate research into functional prototypes.
- Hands-on experience with hardware integration and technical strategy.
Benefits
- Competitive salary range of $170k - $225k plus equity.
- Opportunity to join a high-pedigree founding team.
- Autonomy to design technical systems without legacy constraints.
Schedule
Full-time remote position with flexibility to work from San Francisco and Los Angeles, USA.
Pay
Competitive salary range of $170k - $225k plus equity.
Qualifications
- PhD in Computer Science, Electrical Engineering, or related field.
- At least 5 years of relevant industry experience.
- Experience with computer vision, multimodal AI, and machine learning.
- Strong understanding of signal processing, image analysis, and data curation techniques.
- Ability to work independently and collaboratively with a diverse team.
Skills
- Deep expertise in training and deploying computer vision or multimodal AI models.
- Rapid ability to translate research into functional prototypes.
- Hands-on experience with hardware integration and technical strategy.
Benefits
- Competitive salary range of $170k - $225k plus equity.
- Opportunity to join a high-pedigree founding team.
- Autonomy to design technical systems without legacy constraints.
Schedule
Full-time remote position with flexibility to work from San Francisco and Los Angeles, USA.
Pay
Competitive salary range of $170k - $225k plus equity.
Qualifications
- PhD in Computer Science, Electrical Engineering, or related field.
- At least 5 years of relevant industry experience.
- Experience with computer vision, multimodal AI, and machine learning.
- Strong understanding of signal processing, image analysis, and data curation techniques.
- Ability to work independently and collaboratively with a diverse team.
Skills
- Deep expertise in training and deploying computer vision or multimodal AI models.
- Rapid ability to translate research into functional prototypes.
- Hands-on experience with hardware integration and technical strategy.
Benefits
- Competitive salary range of $170k - $225k plus equity.
- Opportunity to join a high-pedigree founding team.
- Autonomy to design technical systems without legacy constraints.
Schedule
Full-time remote position with flexibility to work from San Francisco and Los Angeles, USA.
Pay
Competitive salary range of $170k - $225k plus equity.
Qualifications
- PhD in Computer Science, Electrical Engineering, or related field.
- At least 5 years of relevant industry experience.
- Experience with computer vision, multimodal AI, and machine learning.
- Strong understanding of signal processing, image analysis, and data curation techniques.
- Ability to work independently and collaboratively with a diverse team.
Skills
- Deep expertise in training and deploying computer vision or multimodal AI models.
- Rapid ability to translate research into functional prototypes.
- Hands-on experience with hardware integration and technical strategy.
Benefits
- Competitive salary range of $170k - $225k plus equity.
- Opportunity to join a high-pedigree founding team.
- Autonomy to design technical systems without legacy constraints.
Schedule
Full-time remote position with flexibility to work from San Francisco and Los Angeles, USA.
Pay
Competitive salary range of $170k - $225k plus equity.
Qualifications
- PhD in Computer Science, Electrical Engineering, or related field.
- At least 5 years of relevant industry experience.
- Experience with computer vision, multimodal AI, and machine learning.
- Strong understanding of signal processing, image analysis, and data curation techniques.
- Ability to work independently and collaboratively with a diverse team.