Applied AI Engineer, Multimodal

AI Breaking Wire; Mountain View (CA); Híbrido; USD 210 000 - 310 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity program

Healthcare

On-site gym

Cafeterias

Commuter benefits

Conference sponsorship

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Multimodal ML

Computer vision

Audio processing

Python programming

Research & experimentation

Formação académica

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

Ferramentas

Python

JAX

TensorFlow

Descrição da oferta de emprego

# Applied AI Engineer, MultimodalGoogle DeepMind## Job Description### About Google DeepMindGoogle DeepMind 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 TensorFlow.- 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\\_visionapplied\\_ml## Job DetailsFull-timeMountain View, CA$210k – $310k USDPosted September 10, 2026Expires November 9, 2026