Senior ML Research Engineer, Personalization for GeminiApp

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind invites applications for a Research Engineer specializing in machine learning and personalization for the Gemini App. The role focuses on building scalable, user-facing personalization features within the Gemini App stack and collaborating with research scientists, engineers, and cross-functional partners to advance our mission.

You will work on data-driven evaluation, model fine-tuning, and developing robust testing methodologies to improve personalization quality across diverse

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++.

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.

Skills

Software development

Machine learning

Python

C++

NLP/LLMs/Generative AI

Recommender systems

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in CS or related field

Tools

TensorFlow

Job description

Google DeepMind invites applications for a Research Engineer specializing in machine learning and personalization for the Gemini App. The role focuses on building scalable, user-facing personalization features within the Gemini App stack and collaborating with research scientists, engineers, and cross-functional partners to advance our mission.

You will work on data-driven evaluation, model fine-tuning, and developing robust testing methodologies to improve personalization quality across diverse