Multimodal AI Engineer: Vision, Audio & Text

AI Breaking Wire; Mountain View (CA); Hybrid; USD 210,000 - 310,000; Full time

Benefits offered by this job

Equity program

Healthcare

On-site gym

Cafeterias

Commuter benefits

Conference sponsorship

Job summary

Google DeepMind is seeking an Applied AI Engineer focused on multimodal systems in Mountain View, CA. You will design and implement state-of-the-art multimodal ML models, collaborating with product and cross-functional teams to deploy AI capabilities into Google's core products.

Responsibilities include rigorous experimentation to optimize model accuracy, latency, and resource footprint, while maintaining high standards of software engineering with automated testing and CI/CD pipelines.

Qualifications

• 3+ years of professional software engineering with applied ML focus.
• Experience with multimodal models, vision, or audio processing.
• Strong Python programming skills, familiarity with JAX or TensorFlow.

Responsibilities

• Design and implement state-of-the-art multimodal ML models (vision, audio, text).
• Collaborate with product and cross-functional teams to deploy AI capabilities.
• Conduct rigorous experiments to optimize accuracy, latency, and footprint.

Skills

Multimodal ML

Computer vision

Audio processing

Python programming

Research & experimentation

Education

Bachelor's or Master's degree in CS/AI

Tools

Python

JAX

TensorFlow

Job description

Google DeepMind is seeking an Applied AI Engineer focused on multimodal systems in Mountain View, CA. You will design and implement state-of-the-art multimodal ML models, collaborating with product and cross-functional teams to deploy AI capabilities into Google's core products.

Responsibilities include rigorous experimentation to optimize model accuracy, latency, and resource footprint, while maintaining high standards of software engineering with automated testing and CI/CD pipelines.