Google

Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

Google$174K — $252K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of software development experience in one or more programming languages.
  • 5 years of experience programming in Python or C.
  • 3 years of experience with software testing, maintenance, or launching products and 1 year in software design/architecture.
  • 2 years of experience in Machine Learning, Large Language Models (LLMs), or applied AI.
  • 2 years of work or educational experience in machine learning and deep learning.

Responsibilities

  • Design, prototype, and build robust, scalable user-facing personalization features for the Gemini App.
  • Analyze data from user feedback, logs, and evaluations to identify personalization-related quality issues and improvement opportunities.
  • Propose and implement targeted quality improvements through fine-tuning or prompting.
  • Develop evaluation methods to measure advancements in personalization quality, both automated and manual.
  • Contribute to building a data flywheel for continuous improvement and innovation.

Benefits

  • Equity opportunities and participation in a bonus plan.
  • Access to innovative AI tools and resources.
  • Engagement in groundbreaking AI projects with real-world applications.
Full Job Description
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 5 years of experience programming in Python or C .
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 2 years of experience with Machine Learning, Large Language Models (LLMs), or applied AI.
  • 2 years of work or educational experience in machine learning and deep learning.

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.


About the job

We are the Gemini App team in DeepMind, building the next-generation AI assistant from Google. Be at the forefront of AI innovation with Gemini, featuring native multimodality, an expansive context window (up to 2 million tokens), and performance. Our mission is to empower billions of people by providing deeply personalised and helpful products. In this role, you will be a part of a team building a personal AI assistant that is tailored to the unique interests, passions, and curiosities of individuals.

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 evaluation techniques (both automated and with a human in the loop) to assess a hill-climb on personalization quality.
  • Contribute to the development of a data flywheel, driving continuous improvement and innovation.


Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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