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Senior ML Backend Engineer - Remote

Posted 18 weeks ago
Software Development
Full Time
Brazil

Overview

Intuition Machines builds enterprise security products with an AI/ML focus. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world.

In Short

  • Design, build, and maintain highly reliable backend systems.
  • Translate business goals into technical specifications.
  • Work with queue-driven and event-driven designs.
  • Write Python and JavaScript/TypeScript as necessary.
  • Focus on producing maintainable and well-documented code.
  • Collaborate with other backend developers.
  • Participate in code reviews and architecture sessions.
  • Take ownership of tasks that are not fully defined.

Requirements

  • 5+ years of experience with large-scale production systems.
  • In-depth knowledge of Python.
  • Experience with orchestration platforms and microservice design.
  • Experience with database systems and distributed architectures.
  • Bachelor's degree or equivalent experience.
  • Excellent communication and presentation skills.
  • Experience leading technical discussions.

Benefits

  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues worldwide.
  • Pleasant development and deployment workflows.
  • High impact with lots of users and happy customers.
  • Flat organization with direct interaction with customer teams.
Intuition Machines logo

Intuition Machines

Intuition Machines, Inc. is a forward-thinking company that leverages artificial intelligence and machine learning to develop enterprise security products, notably the hCaptcha security suite. With a global team dedicated to innovation, the company focuses on creating systems that serve hundreds of millions of users. Intuition Machines emphasizes a streamlined approach characterized by low overhead, small teams, and rapid iteration, fostering an environment where creativity and efficiency thrive. The company is committed to transforming cybersecurity, user privacy, and machine learning, while promoting diversity and inclusivity within its workforce.

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