AI Engineer/Research

We’re a post-PMF B2B startup with ARR growing exponentially every month. With increasing number of customers and usage exploding, we’re looking for a AI Research Engineer to help us scale our AI products.

We’re a remote team that’s looking to build our teams in San Francisco (CA), Austin (TX), and Tempe (AZ) locations. This will be initially a remote role, but will be in-person role in 3-6 months.

Skills & experience we're looking for:

• At least 5 years of full-time experience as a software engineer.
• Strong curiosity and willingness to learn new things.
• Willingness to work hard and drive objectives to completion autonomously
• Experience working with LLM, such as Anthropic, LLAMA, Open AI, or similar.
• Understanding Transformer Architecture.
• Experience with LLM tuning, from prompt engineering, instruction tuning, RLHF, parameter-efficient tuning.
• Experience with embeddings, and tools like langchain, pinecone etc.
• Experience with the modern ML stack (e.g., TF2, Jax, TPUs).
• Experience scraping and incorporate data at scale from public and private sources.

Bonus if:

• If you are great at product.
• You have shipped a product end-to-end (from frontend to backend/API).
• Production experience with Ruby on Rails (web app).
• You are a self-starter who doesn't need to be micromanaged.
• You are persistent and determined. You are the type of person who will go through walls to get the job done.
• You've directly worked with a founder before.

Important Note: Instead of a cover letter, please send over a link or anything that my team and I can review to quickly figure out if we have a fit. Show us that you can do this job well.

Please do not reach out if you are a recruiter, thanks!

We move fast at Soraban so we've designed our interview process to look for candidates who can hit the ground running quickly.

Below is what to expect in our interview process.

1. Quick phone screen
2. Technical screen over Zoom
3. Offer.

The typical interview process should take 14 days from start to finish. That said, we have moved more quickly and look to accommodate candidates who might have a short timeline or competing offers. The more information you can share about your situation and where you are in the process, the more we can either attempt to expedite/match, or save you time if we cannot.