Senior ML Personalization Engineer — Equity

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

DeepMind Technologies Limited in Mountain View is seeking a software engineer to design and build robust, scalable personalization features across the Gemini App, leveraging user feedback, logs, and evaluation data to detect and resolve quality issues.

You will enhance personalization through fine-tuning or prompting, and develop automated as well as human-in-the-loop evaluations while collaborating with research, engineering, product, and program teams.

Qualifications

• Bachelor’s degree or equivalent; 5+ years software development; testing or launches experience; design/architecture; ML/personalization.

Responsibilities

• Design and build robust, scalable personalization features across the Gemini App using user feedback, logs, and evaluation data to identify and address quality issues.
• Improve personalization through fine-tuning or prompting.
• Develop automated and human-in-the-loop evaluations.
• Collaborate with research, engineering, product, and program teams.

Skills

Software Development

Machine Learning

Personalization

Recommender Systems

Deep Learning

Python

C++

TensorFlow

Software Design

Software Architecture

Data Analysis

Large Language Models

Generative AI

Natural Language Processing

Evaluation Techniques

Prompting

Education

Bachelor's degree or equivalent

Master's degree or PhD preferred

Tools

Python

C++

TensorFlow

Job description

DeepMind Technologies Limited in Mountain View is seeking a software engineer to design and build robust, scalable personalization features across the Gemini App, leveraging user feedback, logs, and evaluation data to detect and resolve quality issues.

You will enhance personalization through fine-tuning or prompting, and develop automated as well as human-in-the-loop evaluations while collaborating with research, engineering, product, and program teams.