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← Google DeepMind

Research Engineer, Machine Learning, GeminiApp Personalization

Google DeepMind · Mountain View, CA, USA

Frontier labClosedonsitesenior$174k–$252k

At a glance

Highlights

  • Build robust, user-facing personalization features for the Gemini App.
  • Analyze user feedback and logs to identify quality opportunities.
  • Develop robust evaluations to hill-climb personalization quality.

What they offer

  • 15% bonus target
  • equity
  • benefits

Ideal candidate

A mission-driven software engineer with ML personalization experience who loves building user-facing AI products and partnering with research and product teams to deliver deeply personalized experiences.

Requirements

  • 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 Python or C++
  • 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

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →

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