Position: Founding ML Engineer
Company: Arrakis Technologies Corp.
Category: Data Engineer
Experience required: no_exp

Build a knowledge graph of the US Healthcare system at a Venture Capital backed startup. Work with the latest technologies on challenging problems, iterate the product quickly based on customer feedback, and work with talented teammates.

**TL;DR:** build a Knowledge Graph of the US Healthcare System as a founding engineer at an early stage startup.

**Our Mission:** Arrakis 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 founder’s backgrounds:** 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.

**The Company:** We’ve raised $1.7M in Pre-Seed Funding, built an initial data product, and have significant commercial traction.

**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.
* **Entity Classification / Ontology Building.** You’ll define classes and classify entities using Machine Learning.
* **Data Extraction.** You’ll build and maintain data pipelines to feed the knowledge graph.

**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.
* **Well above market equity.**  We’ll give you a lot of equity.
* **Slightly below market salary.** We’ll pay you a base salary as competitive with your location as we can given our early stage.
* **Actually work with AI.** An opportunity to actually work with state of the art tools like GPT-3.

**What we're looking for:**
* **A data engineering animal.** Your output on anything data / ML related is outrageously high.
* **Solid statistical fundamentals.** You apply statistical essentials to your day to day work.
* **A love of data.** You enjoy digging into individual records and understanding the data you’re working with.
* **A rapid learner.** You’re curious and enjoy rapidly learning new skills. 
* **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.