AI Engineer (SWE) at Studdy (S23)
$150K - $250K  •  1.00% - 5.00%
An AI math tutor for every student
San Francisco, CA, US
Full-time
3+ years
About Studdy

At Studdy, our mission is to unlock the full potential of the next generation by providing a personalized AI tutor for every student.

Studdy Buddy is a multilingual tutor that uses AI, as well as advanced speech, text, and image recognition technology to supercharge students' ability to learn new subjects.

We believe that making self-learning as easy as possible for as many students as possible (no matter their cultural, social, or educational background) is the key to unlocking the full potential of students around the world.

We're a passionate team of AI experts, educators, and builders - if you also have a passion for transforming education we'd love to hear from you.

About the role
Skills: Machine learning, JavaScript, Python

About The Role

This is a unique role that requires a strong software engineering skillset combined with raw creativity and an interest in learning to leverage LLMs as a programming language.

See Andrei Karpathy on "AI Engineers": https://twitter.com/karpathy/status/1674873002314563584?s=20

As an AI Engineer, your core responsibility will be to help improve the accuracy and efficacy of our educational products through a mix of front-end and back-end coding, prompt engineering, data engineering, systems design, and machine learning.

The ideal background for this role is somebody with extensive Software Engineering and/or ML experience who has a strong interest in learning how to incorporate LLMs into modern day products.

You will often be using bleeding edge LLM technologies (e.g. GPT4, LLama2, Claude Opus) that will have little information on the internet about best practices, so you will need to become a pioneer of best practices yourself by thinking from first principles.

If this unique role sounds like something you'd be interested to learn more about, please reach out!

Culture

We are a tight knit team and we bring our full selves to work. We try to make that possible by fostering a culture of openness, transparency, and collaboration. We like working on problems with social impact. The average person spends 90,000 hours at work over their lifetime and we think it's important to spend that time working on problems you enjoy solving, with people you enjoy solving them with.

Location/Remote Work

We're based in San Francisco and prefer candidates who are based in the bay area but are open to remote candidates from other regions as well.

Technology
  • React Native
  • Node.js
  • AWS Lambda
  • GraphQL
  • Postgres
  • GPT4
Interview Process
  1. Chat with CEO
  2. Chat with engineer
  3. Take home assignment
  4. Technical Interview w/ engineer
  5. Technical Interview w/ engineer
  6. Chat with co-founder
  7. Offer

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