Helm.ai

Helm.ai

Staff Software Engineer

Remote - US · Staff+

Sponsorship not specifiedDetected 48 days ago
Distributed SystemsAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningData ScienceLeadershipCollaborationProblem SolvingMentoring

About the role

  • We help make autonomous technologies more efficient, safer, and accessible.

Responsibilities

  • Take full ownership of the platform's lifecycle, from inception through design and implementation to deployment and monitoring.
  • Demonstrated ability to design and implement cost-effective solutions while balancing performance, security, and scalability.
  • Ability to manage ambiguity and thrive in a fast-paced, evolving environment where priorities
  • Passionate problem solver with a focus on building practical, reliable, and efficient systems that can scale in real-world, production environments.

Requirements

  • Deep experience with building large scale services, and the challenges that come with performance, reliability, and cost at scale.

Skills

  • Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches.
  • Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic.

Compensation

  • The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000.

Benefits

  • The opportunity to work on one of the most interesting, impactful problems of the decade
  • monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
  • All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  • Competitive health insurance options
  • Proven experience in building and scaling cloud-based infrastructure and services, particularly in machine learning or data-heavy environments.
  • Solid background in machine learning concepts, e.g., model training and validation.
  • Remote-friendly and flexible team culture

Company info

  • Architect and design scalable, reliable, and efficient ML infrastructure and services, enabling the company to handle large scale training, massive datasets, and a growing number of customers with diverse needs.
  • Build systems that are convenient, reliable, and easy to use for both internal teams (data scientists, engineers) and external customers.

Equal opportunity

  • equal opportunity employer building a diverse and inclusive workforce.

This listing is sourced directly from Helm.ai's careers page and normalized into a canonical job model.