Mindbeam AI is building the next-generation AI infrastructure for open source and enterprise. They are seeking a Machine Learning Engineer to develop user-facing APIs and tools, partner with research teams, and optimize interfaces for scalability and performance.
Responsibilities:
- Develop user-facing APIs, SDKs, and tools that streamline access to Mindbeam’s AI infrastructure
- Partner with research and product teams to translate complex ML workflows into clear, usable abstractions
- Optimize interfaces for scalability, security, and performance
- Advocate for the developer experience by gathering feedback and iterating rapidly
- Collaborate cross-functionally to ensure interfaces integrate seamlessly with enterprise environments
Requirements:
- Bachelor's or advanced degree in Computer Science, Engineering, or related field—or equivalent experience
- 2+ years of experience building developer tools, APIs, or ML/AI applications
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)
- Familiarity with distributed systems, containers, and orchestration (Docker/Kubernetes)
- Understanding of security, compliance, and enterprise integration best practices