Software Engineer (ML Data Infrastructure)

TL;DR

Software Engineer (ML Data Infrastructure): Building and optimizing robust data infrastructure for foundation models at petabyte scale with an accent on distributed systems, TPU infrastructure, and large-scale storage solutions. Focus on partnering with research scientists to translate data requirements into production-grade systems that accelerate model development cycles.

Location: On-site in Toronto or New York

Company

hirify.global is an AI startup building proprietary generative media models and creative workflows to make world-class design accessible to everyone.

What you will do

• Build and maintain robust data infrastructure powering foundation models at petabyte scale.
• Optimize data processing workflows for massive throughput using distributed systems and TPU infrastructure.
• Collaborate with research scientists to translate data requirements into production-grade systems.
• Manage complexity through thoughtful abstractions and scalable design in distributed environments.
• Drive projects from scoping through execution and iteration.

Requirements

• 2-5 years of experience developing and shipping large-scale distributed systems.
• Strong fundamentals in data structures, algorithms, and distributed systems.
• Solid understanding of databases and data storage architectures.
• Hands-on experience with large-scale data processing systems.
• Ability to thrive in fast-moving, ambiguous environments with a bias toward action.

Culture & Benefits

• Competitive compensation and equity package.
• 4 weeks of vacation per year.
• Comprehensive health, vision, and dental coverage from day one.
• RRSP/401(k) with employer match up to 4%.
• Toronto HQ perks include daily in-office lunches and dinners.
• Culture of learning, growth, and mentorship.