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Software Engineer, Applied AI, Model Quality

Google
New York City, USA
Mid · 5+ years experience
Onsite
USD 174000-252000 / year
Discovered 5 days ago

Full Job Posting

Responsibilities

  • Build both human-powered and Large Language Model (LLM)-powered automated evaluation systems to assess model performance.
  • Establish clear metrics to measure aspects like grounding, coherence, safety, and helpfulness.
  • Utilize platforms and tools to efficiently run evaluations across different models and datasets.
  • Provide actionable insights from evaluations to improve model quality, often in collaboration with research, and cross-functional teams.
  • Create tools and systems that make the evaluation process more efficient and effective.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of 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.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

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