Lead ML Engineer
Intuition Machines
LeadAbout the position
Lead large-scale machine learning projects from inception to production, ensuring solutions are scalable and efficient.
Tech stack
- machine-learning
- kubernetes
- containerization
Requirements
Required:
- 7+ years of experience building and maintaining large-scale production ML systems, with a focus on performance, scalability, and reliability
- Proven experience as the owner or significant contributor to products used by tens of thousands of customers
- Expertise in machine learning algorithms, productionizing ML models, and scaling systems to handle large data volumes
- Strong problem-solving skills with creative approaches to overcoming technical challenges
Nice to have:
- Experience leading technical discussions, driving decisions, and setting technical standards for a team
- Excellent written and verbal communication skills, with the ability to articulate complex technical topics
- Familiarity with modern orchestration platforms and distributed systems
Responsibilities
- Lead large-scale ML projects and products from inception to production
- Make key architectural decisions to ensure solutions are scalable, efficient, and maintainable
- Drive collaboration across ML and engineering teams to ensure product success
- Design and implement state-of-the-art machine learning pipelines and models
Benefits
- Fully remote position with flexible working hours
- An inspiring team of colleagues spread all over the world
- Pleasant, modern development and deployment workflows
- High impact: lots of users, happy customers, high growth, and cutting edge R&D
Recruitment Process
Application Review
Final Interview
Final in-person interview and identity verification step
Application Review
Final Interview
Final in-person interview and identity verification step