Machine Learning Infrastructure Engineer
Job Summary
Leading the technical vision for machine learning platforms, the full-time Staff Machine Learning Infrastructure Engineer will architect scalable infrastructure, design next-generation ML platforms, and drive technical excellence in a hybrid work environment.
Key responsibilities
- Architect end-to-end ML infrastructure for data processing, feature management, and model serving
- Design and implement scalable ML platforms that support diverse workloads and ensure operational excellence
- Lead cross-functional initiatives and mentor platform engineers to enhance ML capabilities
Required qualifications
- 10+ years of software engineering experience, with at least 5 years focused on ML infrastructure
- Deep expertise in distributed systems and large-scale data processing
- Strong background in ML platform development and MLOps practices
- Proven experience building production ML infrastructure for critical business applications
- Expert-level knowledge in ML serving platforms and container orchestration
Complete Job Description
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