Autonomous Infrastructure and Automation Engineer

3 weeks ago


Redwood City, California, United States Helm Full time
Job Description

We are seeking a highly skilled Autonomous Infrastructure and Automation Engineer to join our team at Helm.ai.

About the Job

This role will involve collaborating with research engineers to build infrastructure for research operations, automating the training and optimization of ML models for real-time inference in computer vision applications.

Main Responsibilities

  • Design and implement frameworks with flexible and modular components to quickly prototype trainings and implement new cutting-edge research ideas.
  • Develop robust and fault-tolerant ML pipelines for running inference on large image and video datasets.
  • Leverage knowledge of deep learning frameworks to optimize trainings in terms of GPU utilization, memory, speed, and accuracy.
  • Design and implement APIs to automate the training and validation of a wide range of ML models for specialized use cases.

Requirements

  • 5+ years of experience in a directly related field.
  • Experience with TensorFlow/PyTorch, Jax, or related deep learning framework.
  • Experience building distributed, scalable software as a service.
  • Proficiency in Python.
  • Proven ability to thrive in a fast-paced environment.
  • Ability to communicate complex technical concepts to a variety of audiences.

Benefits

  • $180,000 - $200,000 per year (estimated salary based on location).
  • Competitive health insurance options.
  • Remote-friendly and flexible team culture.
  • Free lunch and fully-stocked kitchen in our South Bay office.
  • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale.
  • The opportunity to work on one of the most interesting, impactful problems of the decade.

About Us

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.



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