Software Engineer, Machine Learning, Cloud AI at Google

Requirements

Experience in building tools to support data-driven experimentation and accelerate product development.
Experience in developing products that handle sensitive PII data.
Familiarity with TensorFlow, TFX, and Google/Cloud tools and systems.
Proficiency with building large-scale ML systems.

Work closely with Quality team members and partners across Google to develop robust ML infrastructure that enables faster training and removes bottlenecks.
Develop state-of-the-art ML experimentation technology that operates within the constrained data access environment of the financial services industry, delivering to Google engineers and customers accurate performance and latency telemetry.
Deliver ML pipeline automation with chaining, queueing, and resource management for Pipeline operations.
Enable the Quality team to manage the complete experimentation life cycle for ML pipeline runs, tracking their status and providing status management and access tools for collected metrics.

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