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Senior ML Backend Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years building large-scale production systems, In-depth Python knowledge, orchestration & databases experience, Technical Bachelor's degree or equivalent.

Key responsabilities:

  • Design highly reliable backend systems
  • Translate business goals into technical specs
  • Write Python & JS/TS to meet objectives
  • Collaborate with backend devs for integration
  • Stay updated on relevant technologies
Intuition Machines logo
Intuition Machines Research SME https://www.imachines.com/
51 - 200 Employees
See more Intuition Machines offers

Job description

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. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.


What you will do:
  • Design, build, and maintain highly reliable backend systems that scale to millions of requests per second (RPS).
  • Translate business goals into technical specifications and iterative development plans. We ship early and often, and our first customer of a new product or feature may involve deploying it to 500 million users.
  • Work with queue-driven and event-driven designs, REST APIs, serverless and microservice architectures, and multi-cloud/multi-CDN environments using Kubernetes and other orchestrators.
  • Write Python and JavaScript/TypeScript (JS/TS) as necessary to meet business objectives.
  • Focus on producing clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
  • Collaborate with other backend developers to integrate your work with our infrastructure, including automating observability, deployment, quality, and security.
  • Participate in code reviews and architecture & design sessions. Stay up-to-date with recent developments in relevant technologies and assess their applicability.
  • Take ownership of tasks that are not fully defined, proactively helping the team to shape and implement them.

What we are looking for:
  • Thoughtful, conscientious, and self-directed individuals.
  • 5+ years of professional experience building and maintaining large-scale production systems, with a focus on performance, scalability, and reliability.
  • In-depth knowledge of Python.
  • Experience with orchestration platforms (e.g., Argo, Kubernetes), containerization, and microservice design.
  • Experience with database systems (SQL, NoSQL), distributed systems and architectures, stream processing, test-driven development (TDD), and CI/CD.
  • Bachelor's degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience.
  • Excellent communication, listening, and presentation skills, with experience interacting with diverse audiences and mentoring peers.
  • Experience leading technical discussions with a team and driving decisions by balancing trade-offs.

Nice to Have:
  • College-level knowledge of mathematics (e.g., linear algebra, probability theory, statistics, matrix calculus).
  • Experience with Rust, Go, or other programming languages.
  • Ability to understand and write code in JavaScript/TypeScript (JS/TS).
  • Practical experience applying machine learning (ML) concepts, such as optimization, classification, regression, and generalization.

What we offer:
  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues spread all over the world.
  • Pleasant, modern development and deployment workflows: ship early, ship often.
  • High impact: lots of users, happy customers, high growth, and cutting edge R&D.
  • Flat organization, direct interaction with customer teams.

We celebrate diversity and are committed to creating an inclusive environment for all members of our team.

Join us as we transform cyber security, user privacy, and machine learning online!

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Research
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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