Machine Learning Engineer - Inference
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Mindbeam
US
Summary
Develop user-facing APIs, SDKs, and tools to streamline access to AI infrastructure. Collaborate with research and product teams to translate complex ML workflows into scalable and secure abstractions.
Job Description
About Mindbeam
We are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and passionate about developing ground-breaking innovations to take state-of-the-art AI applications to the next level.
Mission
Design and build intuitive interfaces that connect researchers, developers, and enterprise clients to Mindbeam’s cutting-edge ML systems.
Role Expectations
• 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.
Background
• 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.
About You
You care deeply about usability and accessibility in AI. You thrive at simplifying complexity, and you’re energized by building bridges between research and real-world adoption.
