AI Engineer/Research (initially remote, but will be in-person in 3-6 months)

Soraban; California (MO); Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking startup as an AI Research Engineer, where you'll play a pivotal role in scaling innovative AI products. This exciting position offers the opportunity to work with cutting-edge technologies and methodologies in a dynamic environment. As part of a remote team, you'll collaborate with talented individuals while driving objectives autonomously. Your expertise in LLM, Transformer Architecture, and the modern ML stack will be crucial in shaping the future of AI solutions. If you're passionate about technology and eager to make a significant impact, this role is perfect for you.

Qualifications

• 5+ years of software engineering experience required.
• Experience with LLM tuning and modern ML tools is essential.

Responsibilities

• Help scale AI products by leveraging LLM and modern ML techniques.
• Work autonomously to drive objectives to completion.

Skills

Software Engineering

LLM Experience

Transformer Architecture

Prompt Engineering

Data Scraping

Modern ML Stack

Curiosity and Willingness to Learn

Autonomous Work

Tools

Langchain

Pinecone

TF2

Jax

Job description

We’re a post-PMF B2B startup with ARR growing exponentially every month. With an 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 transition to an 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, OpenAI, or similar.
• Understanding of Transformer Architecture.
• Experience with LLM tuning, including prompt engineering, instruction tuning, RLHF, and 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 incorporating data at scale from public and private sources.

Bonus 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, willing to 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 any material that my team and I can review to quickly determine 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!