Principal Applied AI / ML Engineer
Faire · San Francisco, CA · Algorithms & Data
About this role
Faire is hiring a principal-level Machine Learning Engineer based in San Francisco, CA. The posting calls out experience with TensorFlow, PyTorch, LLMs, RAG. Compensation is listed at $308,000–$423,500 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Algorithms & Data
More roles at Faire
Job description
from Faire careersAbout Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role:
We are seeking a Principal AI / ML Engineer to be a company-level technical thought leader and practitioner to help shape the future of Data and AI at Faire. This is a rare opportunity to drive broad technical strategy across data, engineering, and product while remaining deeply hands-on with cutting-edge AI research and applications. This role reports directly to the CTO of Faire.
You will: