Machine Learning Infrastructure Engineer

TL;DR

Machine Learning Infrastructure Engineer (AI): Design and build state-of-the-art machine learning models and infrastructure with an accent on distributed training systems, low-latency model deployment, and performance optimization. Focus on building and optimizing GPU workloads, ensuring great user experiences, and iterating rapidly in a music-focused AI environment.

Location: Boston or New York City, USA

Salary: $170,000 - $240,000

Company

hirify.global is a music company leveraging advanced AI to empower a global community to create and discover music through innovative generative audio technology.

What you will do

• Design and build machine learning models and infrastructure for hirify.global.
• Build and deploy systems with multiple low-latency machine learning models.
• Develop and optimize distributed training systems.
• Optimize performance, user experience, and product feel.

Requirements

• Must be eligible to work in the US.
• 5+ years experience building production ML systems.
• Proficiency in Python, PyTorch, and distributed systems.
• Experience optimizing latency and throughput of ML systems and GPU workloads.
• Strong focus on user experience and rapid iteration.

Nice to have

• Passion for music (listening, exploring, making).

Culture & Benefits

• Company equity package.
• 401(k) with employer match and Roth options.
• Medical, dental, and vision insurance with flexible spending accounts.
• 11 paid holidays plus unlimited PTO and sick time.
• 16 weeks paid parental leave.
• Creative education stipend and commuter allowance.
• In-office lunch provided 5 days per week.