Helm.ai
Staff Software Engineer
$150K–$250K
Remote - US · Staff · Full-time · Posted Jun 3, 2026
About the job
Architect, build, and operate scalable machine-learning infrastructure and services for large-scale data processing, model development, and customer use.
What you'll do
- Lead the design, implementation, deployment, and monitoring of the ML platform, optimizing scalability, reliability, flexibility, and cost.
- Collaborate with data science, product, and operations teams to integrate ML capabilities into business-critical services.
- Mentor engineers and address infrastructure, data processing, storage, and access challenges at scale.
What they ask for
- Proven experience building and scaling cloud-based infrastructure and services, particularly in machine-learning or data-heavy environments.
- Expert knowledge of distributed systems, cloud platforms, Kubernetes, Docker, and microservices architecture.
- Deep experience building large-scale services, with demonstrated ability to balance performance, reliability, cost, security, and scalability.
- Solid background in machine-learning concepts, such as model training and validation; leadership, collaboration, and mentoring experience.
Pay
Approximately $150,000–$250,000 USD base salary
Tools
AWS, GCP, Azure, Kubernetes, Docker
AI focus
Build and scale ML infrastructure and services that support large-scale model training, development, and data processing.
Model-written summary · the original posting is authoritative