Cybersecurity ML Research Engineer – Gemini

Google DeepMind; New York (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind in the United States is seeking a research-focused Software Engineer to bridge research and engineering for Gemini and CodeMender. You will design experiments, prototype architectures, and deploy scalable infrastructure that advances AI security and performance.

You will collaborate with cross‑functional teams and partner universities, contribute to datasets, training recipes, evaluation platforms, and novel ML techniques to push state‑of‑the‑art cyber defense.

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent practical experience.
• 5 years of experience with large language models (LLM), including pre-training or fine-tuning.

Responsibilities

• Contribute to Gemini Cyber, collaborating across organizations to build high‑quality training recipes, cybersecurity datasets, benchmarks, and evaluation platforms for vulnerability finding and fixing.
• Build datasets (RL environments, SFT data) and iterate on post-training recipes.
• Integrate novel ML and agentic techniques into research prototypes.
• Build evaluation pipelines, benchmarks, and leaderboards to rigorously measure agent performance.
• Optimize system performance, latency, and resource utilization for serving large models.

Skills

Large language models

Education

Bachelor's degree in Computer Science or related field

Job description

Google DeepMind in the United States is seeking a research-focused Software Engineer to bridge research and engineering for Gemini and CodeMender. You will design experiments, prototype architectures, and deploy scalable infrastructure that advances AI security and performance.

You will collaborate with cross‑functional teams and partner universities, contribute to datasets, training recipes, evaluation platforms, and novel ML techniques to push state‑of‑the‑art cyber defense.