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Senior Software Engineer, Machine Learning, Commerce AI

Google
Sunnyvale, USA
Senior · 5+ years experience
Onsite
USD 174000-252000 / year
Discovered 6 days ago
python

Full Job Posting

Responsibilities

  • Build robust self-service tooling and automated evaluation frameworks, utilizing Large Language Model (LLM) simulators and judges to continuously monitor performance, manage quality hill-climbing, and prevent regressions.
  • Architect and refine unified, scalable APIs for critical functions like catalog ingestion (e.g. Universal Commerce Protocol), real-time agent configuration, and "one-line SDK" site integration.
  • Design infrastructure that shrinks the onboarding gap, enabling rapid deployment for a global customer base ranging from large enterprises to Shopify merchants.
  • Drive the feature life-cycle from experimentation to production, ensuring high reliability for complex shopping journeys that combine search, sales, and support.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C++ or Python.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with Large Language Models and evaluation frameworks.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • Experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • Experience building and scaling platform infrastructure for SaaS or e-commerce products.
  • Ability to work in an agile, "0-to-1" environment, driving projects from conception to launch with the ability to take initiative.
  • Excellent product sense with a focus on developer experience (DX) and merchant tooling, ensuring features directly address customer pain points.

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