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Fay

AI Engineer

Reposted Yesterday
In-Office or Remote
3 Locations
Mid level
In-Office or Remote
3 Locations
Mid level
As an AI Engineer, you'll develop features, curate data, train models, evaluate performance, and lead technical initiatives in AI.
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About Fay

Fay is a 3-sided AI platform redefining preventative care with a b2b2c business in a box. We’re one of the fastest growing companies in tech and the fastest growing company in wellness history. We combine clinical expertise with smart systems. The result? More affordable, effective care for the people who need it most.

Behind the platform is a Marvel team of builders deeply connected to the problem we’re solving. We pride ourselves on attracting superstar talent — the kind that’s driven the best growth-to-burn metrics since early Airbnb, Stripe, and WhatsApp. Those aren’t our words, though. That’s straight from our investors at General Catalyst, Forerunner, 1984, and Goldman Sachs.

If you're excited to build at the intersection of AI, healthcare, and real-world impact — we’d love to meet you.

About this Role
There are so many natural opportunities to infuse Fay’s product with AI, from serving up highly creative and custom meal plans to streamlining the note-taking and appointment preparation that consumes so much of dietitians’ time. Our list of AI-powered features is long and keeps growing, which means the Fay AI Team has its hands full with interesting, high-impact work and would love to have more smart and experienced AI engineers join the effort. We’re looking for AI engineers who possess both a strong understanding of machine learning fundamentals and industry experience shipping AI features to users at scale — with an emphasis on generative AI.

What You'll Be Doing:

  • Zero-to-one feature development: Prove out AI feature ideas, iterate on them and integrate them into the product when they’re ready for prime time
  • Data curation and processing: Design the workflows and processes for gathering and storing data for model training
  • Model training: Fine-tune LLMs to unlock performance for our specific domain applications that’s far beyond what off-the-shelf models can offer
  • Model evaluation: Rigorously evaluate the performance of your work using whatever method is appropriate, from human preferences/labels to synthetic ground truth
  • Technical leadership: In this role you’ll have others looking to you for guidance on AI best practices and, more specifically, how to work with LLMs effectively

The best companies are made of the best people. There’s no shortage of work ahead, but we stay balanced and look forward to celebrating our wins as a team.
See our careers page here to learn more about working on our team.

Fay is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Top Skills

AI
Llms
Machine Learning

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