Senior Multimodal AI Systems Engineer

Google; Town of Montana (WI); On-site; USD 174,000 - 252,000; Full time

Job summary

Google DeepMind seeks a Senior Research Engineer for Gemini Omni, located in Mountain View, CA. You will translate research into production-ready systems, scale multimodal foundation models, and collaborate with ML scientists and engineers to push state-of-the-art capabilities.

The role requires strong software engineering, experience with ML algorithms, and a track record in research methodologies. You will work on next-generation AI agents powering billions of users and contribute to safe,

Qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience in development with JAX, PyTorch, or TensorFlow.
• 3 years of experience with Machine Learning algorithms, research methodologies, and Language Modeling.

Responsibilities

• Translate research into production-ready systems, driving the full lifecycle from rapid prototyping and large-scale dataset curation to model training, evaluation, and real-world deployment.
• Architect and advance multimodal foundation models spanning generative media (text, image, audio, and video) and rich cross-modal understanding to power next-generation Gemini Omni capabilities.
• Design, train, and scale advanced architectures leveraging techniques such as reinforcement learning (RL/RLHF/RLAIF) to enhance reasoning, steerability, and multimodal generation quality.
• Optimize model architectures and inference pipelines using quantization, distillation, pruning, and kernel optimization to achieve low-latency, cost-effective serving at scale.
• Partner cross-functionally with research scientists, product managers, and infrastructure teams to identify emerging technical opportunities and bring novel AI features to millions of users.

Skills

Software testing

Software design

Machine Learning

Research methods

Education

Bachelor's degree or equivalent

Tools

JAX

PyTorch

TensorFlow

Job description

Google DeepMind seeks a Senior Research Engineer for Gemini Omni, located in Mountain View, CA. You will translate research into production-ready systems, scale multimodal foundation models, and collaborate with ML scientists and engineers to push state-of-the-art capabilities.

The role requires strong software engineering, experience with ML algorithms, and a track record in research methodologies. You will work on next-generation AI agents powering billions of users and contribute to safe,