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Intuition MachinesIM

Engineering Manager, Dashboard

Intuition Machines specializes in deep learning and visual domain ML at scale, providing privacy-preserving AI/ML platforms and services like the hCaptcha security suite to protect hundreds of millions of users globally.

Intuition Machines

Employee count: 51-200

Brazil only

Intuition Machines builds enterprise security products using AI/ML. 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: high agency, small teams, and rapid iteration.

The Dashboard team builds tools, infrastructure, and features that are core to the product and its machine learning capabilities. As an Engineering Manager, you will be responsible for leading solutions that directly impact user risk analysis and mitigation. Working with team members, you will continuously iterate and develop cutting-edge features that improve customer insight and usability of the hCaptcha product platform.


What will you do:

  • Manage, grow, and support a team of product experienced engineers responsible for applications, tools, and infrastructure that drive our security products.
  • Work closely with engineers, scientists, stakeholders, and other domain experts to come up with and execute on unique solutions that contribute to the detection and mitigation of fraud and automation.
  • Mentor and guide engineers to grow in skill and knowledge, allowing them to make the best decisions given the right tools and context.
  • Participate in code and architecture design, contribute to feature development, and maintain high-quality standards via peer reviews and mentorship.


What you will learn:

  • Gain knowledge and experience working with a system that impacts hundreds of millions of users per day, along with some of our biggest customers.
  • Learn about security, labeling, and machine learning through product features and knowledge sharing amongst the company.
  • Utilize the latest technologies to design and develop scalable solutions along with monitoring tools that provide unique insight into both our users and customers.


What we are looking for:

  • 8+ years of professional experience in software engineering with a focus on product development.
  • 2+ years of leading or managing engineering teams.
  • Extensive experience with JavaScript, TypeScript, React and Python
  • Hands on experience developing applications that leverage the latest in web technologies including Canvas, WebGL, and WebWorkers.
  • Demonstrated leadership skills in building a high-performing and highly engaged engineering team, preferably in geo-distributed organizations.


Nice to have:

  • Experience working with edge workers (Cloudflare Workers, Fastly Edge Compute, or Akamai Serverless Compute).
  • Familiarity with languages like Rust, Go, or C++
  • Understanding of distributed systems and scaled operations.
  • Familiarity with Kubernetes and Docker.


What we offer:

  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues spread all over the world.
  • Serious impact: very few organizations run at our scale.
  • Pleasant, modern continuous development and deployment workflows: ship early, ship often.
  • High impact: lots of users, happy customers, high growth, and cutting-edge RD.
  • Flat organization, direct interaction with customer teams, and high product influence.

We celebrate diversity and are committed to creating an inclusive environment for all members of our team. Join us as we transform cybersecurity, user privacy, and machine learning online!

About the job

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Job type

Contractor

Experience level

Manager

Location requirements

Hiring timezones

Brazil +/- 0 hours

About Intuition Machines

Learn more about Intuition Machines and their company culture.

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At Intuition Machines, we're dedicated to pushing the boundaries of artificial intelligence and machine learning to solve complex real-world problems. Since our inception in 2017, we've grown into a global team, with colleagues in over 38 countries, all focused on a singular mission: making AI accessible, private, and secure. Our journey began with foundational AI/ML research, and this spirit of innovation continues to drive us. We believe in the power of open science and regularly contribute to the academic community, publishing our work and supporting other research groups by providing access to our advanced AI/ML platforms.

Our core focus is on developing privacy-preserving AI/ML platforms that don't compromise on accuracy or usability. We're proud that our systems, including our flagship product hCaptcha, serve and protect hundreds of millions of people across the globe every day. hCaptcha is a testament to our commitment to security and user privacy, offering a robust alternative that safeguards online services from sophisticated threats while respecting user data. We work with some of the largest companies in the world, providing them with machine learning products and services at scale, with a particular emphasis on meta-learning and the visual domain. We operate in a fast-paced, collaborative environment, embracing rapid iteration and a strong commercial focus to ensure our scientific breakthroughs translate into real-world impact. We're always looking for passionate and talented individuals to join our mission as we continue to transform cybersecurity, user privacy, and machine learning online.

Employee benefits

Learn about the employee benefits and perks provided at Intuition Machines.

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Flexible working hours

Provides flexible working hours.

Paid vacation

Offers paid time off for employees.

Flat organization

Flat organizational structure with direct interaction with customer teams.

Learning and development

Mentoring and support in learning advanced ML, computer vision, and cybersecurity methods.

View Intuition Machines's employee benefits
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Intuition Machines

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Intuition Machines hiring Engineering Manager, Dashboard • Remote (Work from Home) | Himalayas