Sr. Software Engineer, Machine Learning Infrastructure (AI)

TL;DR

Sr. Software Engineer, Machine Learning Infrastructure (AI): Building the platforms, tooling, and services that power applied machine learning across hirify.global with an accent on large-scale ML systems impacting core experiences. Focus on enabling more efficient and scalable model serving directly unlocks larger models across the domains, which can lead to consistent metric improvements across multiple product surfaces.

Location: This is a hybrid role and requires in-office collaboration three days per week. This position is located in Palo Alto, CA.

Salary: $220,000 - $250,000 a year

Company

hirify.global revolutionized how people meet, growing from 1 match to one billion matches in just two years and serving approximately 50 million users per month in 190 countries.

What you will do

• Build and evolve robust, scalable ML infrastructure that supports ML engineers across all hirify.global business domains.
• Set and drive the long-term technical direction for hirify.global’s ML infrastructure.
• Design, build, and operate production-grade ML serving infrastructure for ML models using Ray Serve and Triton.
• Develop and maintain robust serving infrastructure specialized for serving large language models (LLMs) in-house.
• Build the foundation of hirify.global’s feature store using Databricks and internal tooling.
• Partner closely with ML Engineers, ML Software Engineers, and CloudOps to ensure infrastructure directly enables better models and faster iteration.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Technology, or a related field.
• 5+ years of experience building or operating ML platforms, including training, serving, feature management, or experimentation systems.
• Hands-on experience designing, building, or running feature stores at scale.
• Strong software engineering fundamentals, with proficiency in Python and at least one of Java, Scala, Go, or a similar language.
• Practical experience with ML serving platforms such as Triton, Ray Serve, or Seldon.
• Deep experience in distributed systems, cloud infrastructure, and MLOps, with hands-on exposure to transformers and modern deep learning architectures

Culture & Benefits

• hirify.global is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
• We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds.