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Machine Learning Engineer - Remote

Posted Yesterday
Software Development
Full Time
Worldwide

Overview

This role involves designing and developing machine learning systems and infrastructure for a fast-moving startup that supports military intelligence operations.

In Short

  • Design and develop machine learning systems and infrastructure.
  • Maintain and update APIs for rapid iteration.
  • Ship production-grade machine learning features.
  • Integrate new data models and user interfaces.
  • Create reusable functional blocks for machine learning models.
  • Productionize machine learning prototypes and architectures.
  • Improve existing machine learning frameworks and libraries.
  • Develop automation tools for ML components.

Requirements

  • 7+ years of full stack work experience.
  • Proficiency in machine learning and deep learning algorithms.
  • Experience with TensorFlow, PyTorch, and Jax.
  • Strong ethics and integrity.
  • Ability to learn and adapt to new technologies.
  • College degree in Computer Science or related field.
  • Experience in a production software development environment.
  • Positive and solution-oriented mindset.

Benefits

  • Fully remote work environment.
  • Autonomy and trust within the team.
  • Opportunity to work on critical military intelligence projects.
  • Engaging startup culture that embraces change.

TurbineOne

TurbineOne

TurbineOne is an innovative startup dedicated to enhancing situational awareness for individuals serving on the frontlines of the nation, supported by leading DefenseTech venture capitalists. The company has developed the Frontline Perception System, an edge-first software platform that empowers users, regardless of technical expertise, to create and utilize machine learning models in challenging tactical environments. With a focus on building efficient and secure development systems, TurbineOne is committed to delivering mission-critical software solutions that meet the needs of its users.

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