Applied AI Engineer, Multimodal

# Applied AI Engineer, Multimodal Google Deep Mind##

Job Description ### About Google Deep Mind Google  Deep Mind brings together talented people from all over the world to solve hard problems in computer science and advance artificial intelligence. We are seeking an Applied AI Engineer to focus on multimodal systems.### Responsibilities
- Design and implement state-of-the-art multimodal machine learning models combining vision, audio, and text.

- Collaborate with product and cross-functional engineering teams to deploy advanced AI capabilities into Google's core products.

- Conduct rigorous experimentation to optimize model accuracy, latency, and resource footprint.

- Maintain high standards of software engineering, including automated testing, CI/CD pipelines, and clean codebases.### Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.

- 3+ years of professional software engineering experience with a strong focus on applied machine learning.

- Demonstrated experience working with multimodal models, computer vision, or audio processing.

- Expert-level programming skills in Python and familiarity with JAX or Tensor Flow.

- Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative research environment.### Benefits
- Competitive compensation, bonus, and equity programs.

- Comprehensive healthcare benefits and wellness programs.

- On-site fitness centers, gourmet cafeterias, and commuter benefits.

- Continuous learning allowances and conference sponsorship.## Skills & Tagspythonjaxtensorflowmultimodalcomputer vision applied ml## Job Details Full-time Mountain View, CA $210k – $310k USDPosted September 10, 2026

Expires November 9, 2026