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Google DeepMind · 7 hours ago

Research Engineer, Post-Training for Code Security Analysis

Mountain View, CA

Full-time

Onsite

Mid, Senior Level

$141K/yr - $291K/yr

Google DeepMind is a team of scientists and engineers dedicated to advancing artificial intelligence for public benefit and scientific discovery. The Research Engineer will work on enhancing Gemini’s capabilities in code security analysis through the design and implementation of advanced post-training strategies and evaluation pipelines.

Artificial Intelligence (AI)Business DevelopmentMachine Learning

Growth Opportunities

Responsibilities

Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices

Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities

Actively monitor and evolve the system's performance through metric design

Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment

Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness

Qualification

Machine LearningDeep Learning FrameworksStatisticsLLM Fine-tuningSystems DesignCommunication SkillsInterpersonal SkillsCollaboration

Required

BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

Deep understanding of statistics is strongly preferred

Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

Strong knowledge of systems design and data structures

Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

A passion for Artificial Intelligence

Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

Benefits

Bonus

Equity

Benefits

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010