Job Specifications
Intuition Machines uses AI/ML to build enterprise security products. 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.
As a Senior ML Data Engineer, you will help shape and expand the pipelines that power our products and research efforts. You'll work across teams to design, maintain, and improve high-performance data pipelines, ensuring that data is accessible, reliable, and scalable to meet the needs of our users and internal stakeholders.
What will you do:
Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data
Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand
Influence data storage and processing strategies
Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform
Reduce time-to-deployment for dashboards and ML models
Establish best practices and develop pipelines and software that enable ML engineers and researchers to efficiently build and use datasets
Work with large datasets under performance constraints comparable to those at the largest companies
Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users
What we are looking for:
Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines that handle high loads
At least 2 years of professional software development experience in a role other than data engineering
Proficiency in Python and experience working with Kafka infrastructure and distributed data systems
Deep understanding of SQL and NoSQL databases (preferably Clickhouse)
Familiarity with public cloud providers (AWS or Azure)
Experience with CI/CD and orchestration platforms: Kubernetes, containerization, and microservice design
Proven ability to make independent decisions regarding data processing strategy and architecture
Thoughtful, self-directed individual who is able to operate effectively in a fast-paced environment
Nice to Have:
Experience collaborating across ML, backend, and frontend teams
Understanding of machine learning fundamentals, including model training, inference, and frameworks such as PyTorch or TensorFlow
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 equality of opportunity and are committed to creating an inclusive environment for all team members.
Join us as we transform cybersecurity, user privacy, and machine learning online!
Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.
About the Company
Machine intelligence at scale. Products include the hCaptcha platform, used by many of the world's largest online services to protect hundreds of millions of people. Sound interesting? We're hiring ML scientists, senior engineers, and many other roles worldwide. https://apply.workable.com/imachines/
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