Intuition Machines

www.imachines.com

1 Job

91 Employees

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/

Listed Jobs

Company Name: Intuition Machines
Job Title: Senior ML Data Engineer
Job Description: **Job Title**: Senior ML Data Engineer **Role Summary**: Design, maintain, and optimize high-performance data and ML pipelines to support enterprise security products and research. Collaborate cross-functionally to ensure scalable, reliable data infrastructure for global user needs. **Expectations**: - Maintain and expand existing ML/data workflows; implement new systems for high-velocity data. - Develop interfaces for on-demand dataset creation by ML engineers and researchers. - Drive data storage and processing strategy decisions. - Reduce deployment time for dashboards and models. - Establish best practices for scalable pipeline development. - Manage large datasets under high-performance constraints. - Prioritize rapid iteration and frequent deployment. **Key Responsibilities**: - Build, monitor, and improve end-to-end ML data pipelines. - Partner with ML, frontend, and backend teams to enhance the data platform. - Ensure data accessibility, reliability, and scalability for stakeholders. - Document and standardize pipeline workflows. **Required Skills**: - Python proficiency; Kafka and distributed systems experience. - Expertise in SQL/NoSQL (e.g., ClickHouse). - Public cloud (AWS/Azure) and CI/CD tools (Kubernetes, containerization, microservices). - 3+ years designing/building data pipelines and data stores. - 2+ years professional software development (non-data roles). - Strong decision-making in data architecture strategy. **Required Education & Certifications**: - Bachelor’s degree in computer science, engineering, or related field. - 3+ years professional experience in data engineering, feature engineering, or similar roles. - Proven track record in high-load data pipeline development. - Third-party verification of work history and education.