ML Infra Engineer, Recommender Systems

Brix; Central Ontario; On-site; CAD 411,000 - 617,000; Full time

Job summary

A fast-growing AI startup in Ontario is looking for a Staff ML Infra Engineer. The successful candidate will have at least 3 years of backend engineering experience and will be responsible for building scalable ML infrastructure while managing an expanding engineering team. Candidates should be familiar with Kubernetes and Python, along with Apache Kafka and Spark. This role offers a competitive compensation package of $300-450K plus equity.

Qualifications

• 3+ years of experience in backend engineering.
• Familiar with Kubernetes and Python.
• Familiar with Apache Kafka and Spark.

Responsibilities

• Build scalable ML infrastructure from the ground up.
• Manage and grow the Engineering team from 12 to 50 people within the next 18 months.

Skills

Backend engineering

Kubernetes

Python

Apache Kafka

Spark

Education

Bachelor's degree from a leading academic institution

Job description

Overview

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.

Why you might not be a fit

• 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.

Why you should join us

• Exponential growth. 1 Million MAU. Join the team that gets us to 100 million MAU.
• Craftsmanship. Build something beautiful.

About The Company

Chai – 1-50 employees, Seed Round, Software services, US, 1 million MAU.

Description

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

• 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.

Tech Stack

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

Compensation

$300-450K + Equity | PALO ALTO, CA.

Interview Process

• AI interview
• Code assessment
• Technical assessment
• On-site interview
• Offer negotiation