Staff ML Infra Architect: Scale, Own, Lead Platform

Helm.ai; United States; Remote; USD 150,000 - 250,000; Full time

Benefits offered by this job

Health insurance

401K plan

Remote-friendly culture

Free lunch and fully-stocked kitchen

Wellness stipend

Office setup allowance

Company retreats

Job summary

Helm.ai is seeking a senior leader to architect and build scalable ML infrastructure and services in a cloud-native environment. You will lead end-to-end platform ownership, ensure reliability, performance, and cost efficiency, and enable rapid experimentation for data scientists and engineers.

You will collaborate with product and ops, mentor engineers, and stay ahead of industry trends. The role offers remote-friendly culture, competitive compensation, and opportunities to work on high-impact,

Qualifications

• Proven experience in building and scaling cloud-based ML infrastructure.
• Expert knowledge of distributed systems and cloud platforms (AWS, GCP, Azure).
• Strong leadership, mentoring, and collaboration in agile teams.
• Deep experience with large-scale services and balancing cost and performance.

Responsibilities

• Lead and architect scalable ML infrastructure and services.
• Scale systems for global data processing and model development.
• Optimize platform for cost efficiency while maintaining agility.
• Design user-friendly systems for internal teams and external customers.
• Own the platform lifecycle from inception to monitoring.
• Collaborate with data science, product, and operations to integrate ML capabilities.

Skills

Cloud infrastructure leadership

Distributed systems

Leadership & mentoring

Agile development

Ambiguity management

Problem solving

Tools

Kubernetes

Docker

Microservices

AWS

GCP

Azure

Job description

Helm.ai is seeking a senior leader to architect and build scalable ML infrastructure and services in a cloud-native environment. You will lead end-to-end platform ownership, ensure reliability, performance, and cost efficiency, and enable rapid experimentation for data scientists and engineers.

You will collaborate with product and ops, mentor engineers, and stay ahead of industry trends. The role offers remote-friendly culture, competitive compensation, and opportunities to work on high-impact,