Staff Software Engineer, ML Infra — Remote-Friendly

Helm; United States; Hybrid; USD 150,000 - 250,000; Full time

Benefits offered by this job

Competitive health insurance options

401K plan management

Remote-friendly and flexible team

Free lunch and fully-stocked kitchen

Monthly wellness stipend

Office set up allowance

Company retreats

Impactful, decade-defining problems

Job summary

Helm.ai is seeking a Staff Software Engineer to join our growing team. You will work closely with research engineers to develop productionized ML workflows and build scalable platform infrastructure for training, validating, and deploying neural networks.

You will deploy cloud infrastructure, create distributed data-processing pipelines, and contribute to a multi-tenant data lake ecosystem supporting the entire ML lifecycle. Join a fast-paced environment shaping autonomous tech.

Qualifications

• Strong programming experience demonstrated via work experience, internships, or programming competition performance.
• Deep knowledge of dev-ops and infrastructure processes such as infra-as-code, microservice deployment, software networking, build tool management.
• Previous experience in a data-heavy role, such as data infrastructure or machine learning engineer.
• Experience using agentic workflows for programming and problem solving.

Responsibilities

• Work closely with research engineers to develop productionized ML workflows.
• Develop and iterate on platform infrastructure for training, validating, and deploying neural networks.
• Deploy cloud infrastructure and build distributed data-processing pipelines.
• Develop on an in-house multi-tenant data lake ecosystem supporting the entire lifecycle of machine learning operations.
• Build internal APIs to serve data, trigger workflows, enforce business logic, etc.
• Build CI/CD process and other internal tools to enhance developer productivity.

Skills

Programming experience

DevOps & infra

Data-heavy background

Agentic workflows

Job description

Helm.ai is seeking a Staff Software Engineer to join our growing team. You will work closely with research engineers to develop productionized ML workflows and build scalable platform infrastructure for training, validating, and deploying neural networks.

You will deploy cloud infrastructure, create distributed data-processing pipelines, and contribute to a multi-tenant data lake ecosystem supporting the entire ML lifecycle. Join a fast-paced environment shaping autonomous tech.