Research Engineer: Personalization AI & Agent Orchestration

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

Job summary

Google DeepMind is seeking a research-focused Software Engineer to drive large-scale experiments, prototype architectures, and deploy AI ideas across the organization. You will explore post-training techniques and design evaluation frameworks to measure model quality against user feedback, while building agents that orchestrate tools and APIs for hyper-personalized experiences.

Join a team that partners with universities and publishes research while advancing AI safety and ethics as part of a

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience designing, constructing, and deploying evaluation frameworks that capture programmatic or algorithmic performance.

Responsibilities

• Drive research on post-training techniques (e.g., RL, SFT, and preference optimization) specifically tailored for personalization scenarios.
• Develop novel evaluation frameworks to measure model quality against user behaviors/feedback.
• Design and train agents capable of orchestrating tools and APIs to deliver hyper-personalized experiences.

Skills

Evaluation frameworks design

Education

Bachelor’s degree or equivalent practical experience

Job description

Google DeepMind is seeking a research-focused Software Engineer to drive large-scale experiments, prototype architectures, and deploy AI ideas across the organization. You will explore post-training techniques and design evaluation frameworks to measure model quality against user feedback, while building agents that orchestrate tools and APIs for hyper-personalized experiences.

Join a team that partners with universities and publishes research while advancing AI safety and ethics as part of a