Software Engineer, ML Development
Job Summary
To support the ML Infrastructure: Dev Enablement Team, the full-time Software Engineer, ML Development will design and enhance Agentic AI tools, scale core infrastructure using Kubernetes, and optimize system-level ML processes while collaborating cross-functionally in a hybrid or fully remote environment.
Key responsibilities
- Design, develop, and enhance Agentic AI tools to automate workflows and streamline the ML lifecycle
- Drive the continuous development of the core ML infrastructure and Cloud Development Environment platform
- Optimize distributed training jobs and data pipelines in collaboration with ML Researchers to maximize GPU utilization
Required qualifications
- BS or MS in Computer Science or a related field
- Strong knowledge of software engineering principles and distributed systems
- Proficiency in Python, Go, or C++
- Experience with AWS services or other Cloud platforms and Kubernetes for container orchestration
- Familiarity with various stages of the ML development lifecycle
Complete Job Description
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