ML Infra Engineer, Recommender Systems

ML Infra Engineer, Recommender Systems

Full-Time On-site
B

At a Glance

  • Tasks: Build and scale ML infrastructure while leading a growing engineering team.
  • Company: Fast-growing AI startup in Palo Alto with a dynamic team.
  • Benefits: Competitive salary, full-time position, and opportunities for career advancement.
  • Other info: Exciting growth potential as we expand our team from 12 to 50.
  • Why this job: Join a cutting-edge company and make a significant impact in AI technology.
  • Qualifications: 3+ years in backend engineering, familiar with Kubernetes, Python, Kafka, and Spark.

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.

We are seeking 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.

Job details

  • Location: Palo Alto, CA (UTC-08:00 Pacific Time)
  • Employment type: Full-time
  • Salary: 300k - 450k USD/year

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

Interview process

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

Seniority level: Mid-Senior level

Job function: Engineering and Information Technology

Industries: Software Development

ML Infra Engineer, Recommender Systems employer: Brix

Chai is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the AI industry. Located in the vibrant tech hub of Palo Alto, employees benefit from competitive salaries, opportunities for rapid career growth, and the chance to work alongside some of the brightest minds in technology. With a commitment to building a diverse and inclusive team, Chai offers a unique environment where creativity and collaboration thrive.

B

Contact Details:

Brix Recruitment Team

We think you need these skills to ace ML Infra Engineer, Recommender Systems

ML Infrastructure Development
Backend Engineering
Kubernetes
Python
Apache Kafka
Apache Spark
GCP (Google Cloud Platform)