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 services. Now 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.