If you have a personal GitHub project with over 500 stars and strongly adhere TDD, please reach out to tom@chai-research.com directly to have your application fast tracked.
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.
Here's why we might not be the right fit for you:
• We work hard and have a high-velocity environment with lots of growth opportunities.
• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.
• You will be responsible and accountable for making high-impact decisions that determine Chai's future
Here are the top 2 reasons why you should join us:
• Exponential growth. 1 Million DAU. Join the team that gets us to 100 million DAU.
• Craftsmanship. Build something beautiful.
Requirements:
• Bachelor's degree from a leading academic institution
• 3+ years of experience in backend engineering
• Familiar with Kubernetes and Python
• Familiar with Apache Kafka and Spark
Here is our tech stack:
• Front end: Python, Flutter, Dart
• Back end: Python, GCP, Redis, Kubernetes
Exceptionally fast, application to offer within 7 days.
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.
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.
We'll send you a personality assessment to understand you better. This is the one we use.
We'll send you a short take home challenge that typically takes 60-90 minutes to complete.
You'll be invited onsite to meet the team and complete the second half of the take home.
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.
Yearly based
Palo Alto, CA (Onsite)