Senior Research Engineer, Gemini Omni, DeepMind

• 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.

Minimum 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.

Preferred qualifications:

• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

• 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.