ML Infra Engineer

If you have a personal GitHub project with over 500 stars and strongly adhere to TDD, please reach out to directly to have your application fast tracked.

Founded by a team of Cambridge ex quant-traders and researchers, with over 5 trillion tokens served per month to 5 million users, Chai has quickly established itself as one of the fastest-growing AI startups in Palo Alto.

Who we are looking for:

We need a Staff ML Infra Engineer with 3+ years of experience in building scalable ML infrastructure from the ground up, and who can manage and grow our Engineering team from 12 to 50 people within the next 18 months.

Requirements:

1. Bachelor's degree from a leading academic institution
2. 3+ years of experience in backend engineering
3. Familiar with Kubernetes and Python
4. Familiar with Apache Kafka and Spark

Here is our tech stack:

1. Front end: Python, Flutter, Dart
2. Back end: Python, GCP, Redis, Kubernetes

Process:

Exceptionally fast, application to offer within 7 days.

Expectations

We look for people with a track record of building. If you shipped a product with 100k+ downloads, created an open source project with 10k+ stars/downloads, or made $100k+, you get fast-tracked.

1. Initial chat

Instead of a recruiter, one of the engineers on the team will have a chat with you. We prefer to grab a coffee in Palo Alto.

2. Personality assessment

We'll send you a personality assessment to understand you better. This is the one we use .

3. Take home challenge

We'll send you a short take home challenge that typically takes 60-90 minutes to complete.

4. Onsite interview

You'll be invited onsite to meet the team and complete the second half of the take home.

5. Offer

We pay top of market. Salary range for technical roles are $200 - $600k+ and equity.
We'll give you an offer you'll be happy with.