Senior Machine Learning Engineer

TL;DR: build an AI Healthcare Salesperson as a Founding Engineer at an early stage startup.

The Mission: We builds data and software tools for sales and marketing teams that sell healthcare products, to ensure the latest in healthcare innovation reaches the right providers and patients faster.

The Product: We've built a database of the US Healthcare System and help our customers identify the people and organizations most likely to need their ---------- w we're also helping them automate highly personalized outreach.

The Team: Previously Sam (CEO) co-founded a clinical testing lab which raised $14M+ in VC led by A16z, out of which spun off a COVID testing lab that did 36 million COVID tests. Sav (CTO) scaled an EdTech start-up to $50M in Revenue as the CTO. Founding Engineer Chris was a data engineer at Stripe, and Rayhnuma (Head of Biz Ops) was early at 2 acquired startups.

The Traction: We’ve raised $2M+, built an product, and have hundreds of thousands of dollars in revenue.

What you’ll do:
- Prompt Engineering. Coax the latest generative AI models to write emails and research summaries for our customers.
- Knowledge Graph Creation. Construct algorithms to represent the US Healthcare System in our Knowledge Graph.
- Data Analysis. You’ll create training datasets, conduct reviews of data quality, and provide suggestions on how to improve our data.
- Build Recommender and Classifier Systems You’ll integrate with customer's data to glean insights which we can use to improve our recommends on who to reach out to.
- Data Extraction, Cleaning and Pipeline Building. You’ll build and maintain real-time data pipelines.

What we offer you:
- Transparency, trust and integrity. We are honest, principled, and treat each other with respect.
- CTO / Founder training. You’ll work closely with the founders and learn the skills necessary to start your own company.
- Actually work with AI. An opportunity to actually work with state of the art tools like GPT-4, LangChain, Pinecone etc.

What we're looking for:
- High output. You build a lot of product quickly.
- Data Engineering Experience. You've built challenging internal or external data products.
- Excited about AI. You've played around with the myriad of ML tooling developments.
- End to end ownership. You want end to end ownership over the data features you build; from data cleaning to finetuning models to web app implementation.
- Easy to work with. You give and receive feedback easily and are trustworthy.
- An interest in Healthcare. You’re interested in becoming an expert in US Healthcare.
- Willing to work from 8 to 11am US Pacific Time.

If you're interested - please start your message to me with 'The Spice' so I know you've taken the time to read the post. The first couple of steps of the interview process will be some written questions to answer and a short coding test.