Senior ML Personalization Engineer for AI Assistant

Socket.dev; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target 15%

Job summary

DeepMind's Gemini App team seeks a senior engineer to design and build personalization features across the Gemini App stack. You will analyze user feedback and logs to identify issues and drive improvements through fine-tuning or prompting.

US-based role offers a competitive pay band ($174,000–$252,000) with a 15% bonus target, equity, and comprehensive benefits, while advancing AI for billions of users with safety and ethics as priorities.

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

Responsibilities

• Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack.
• Perform 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 to assess improvements in personalization quality.
• Contribute to development of a data flywheel driving continuous improvement and innovation.

Skills

Machine Learning experience

Software development

Education

Bachelor’s degree or equivalent practical experience

5 years software development

5 years Python or C++

3 years testing/launching software

1 year design/architecture

2 years ML/LLMs or applied AI

2 years ML/deep learning

Job description

DeepMind's Gemini App team seeks a senior engineer to design and build personalization features across the Gemini App stack. You will analyze user feedback and logs to identify issues and drive improvements through fine-tuning or prompting.

US-based role offers a competitive pay band ($174,000–$252,000) with a 15% bonus target, equity, and comprehensive benefits, while advancing AI for billions of users with safety and ethics as priorities.