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Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

Google
California, USA
Mid · 5+ years experience
Onsite
USD 174000-252000 / year
Discovered 5 days ago
pythontensorflow

Full Job Posting

Responsibilities

  • Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack.
  • Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities.
  • Propose and implement targeted quality improvements via fine-tuning or prompting.
  • Develop robust evaluation techniques (both automated and with a human in the loop) to assess and hill-climb on personalization quality.
  • Partner closely with research scientists, engineers, and cross-functional partners (product and program managers) to advance the business goals of the organization.

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.
  • 3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), recommender systems, deep learning, or personalization.
  • 3 years of experience with software development in either of these programming languages: Python or C++.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.
  • Experience in Natural Language Processing (NLP), Large Language Models (LLMs) and Generative AI.

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