Backend Engineer (AI)

TL;DR

Backend Engineer (AI): Build, deploy, and support robust high-load machine learning-based real-time systems for search and browse experiences with an accent on developing and updating ranking functionalities. Focus on optimizing current ranking service performance to process requests faster and optimizing signals delivery and retrieval for machine learning model inference.

Location: Fully remote team - choose where you live.

Salary: $80k–$120K USD

Company

hirify.global is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.

What you will do

• Collaborate with technical and non-technical business partners to develop and update ranking functionalities.
• Develop Ranking Platform for internal users (DS and MLE mostly).
• Optimize current ranking service performance to process requests faster.
• Optimize signals delivery and retrieval (aka Feature Store) for machine learning model inference.
• Communicate with stakeholders within and outside the team.

Requirements

• Experience in designing, developing & maintaining high-load distributed real-time services (in cloud).
• Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources.
• Experience with MLOps is a huge plus (delivering, loading, and serving ML models and related infrastructure).
• Proficiency with Python and, as a plus, compiled languages like C, Rust, or Go.
• Experience in server-side coding for web services, and a good understanding of API design principles.
• Excellent English communication skills.

Culture & Benefits

• Work with smart and empathetic people who will help you grow and make a meaningful impact.
• Regular team offsite events to connect and collaborate.
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• Work from home stipend.
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.