Multimodal ML Engineer - Vision, Audio & Text AI

AI Breaking Wire; Mountain View (CA); Hybrid; USD 200,000 - 320,000; Full time

Benefits offered by this job

Comprehensive health programs

Generous vacation & family leave

On-site gourmet cafeterias

Job summary

Google DeepMind is seeking a Machine Learning Engineer focused on multimodal models in Mountain View, CA. You will build and optimize models that fuse vision, audio, text, and video data, targeting low latency and high throughput at scale.

You should have 3+ years of industry experience with Python and deep learning frameworks (TensorFlow or PyTorch), plus a strong grasp of CV, NLP, and multimodal fusion techniques. Excellent collaboration skills are required.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• 3+ years of industry experience building, training, and deploying deep learning models at scale.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of computer vision, natural language processing, and multimodal fusion techniques.
• Excellent problem-solving and collaboration skills.

Responsibilities

• Build and train cutting-edge multimodal AI models that integrate vision, audio, text, and video data.
• Optimize model architectures for low latency and high throughput during large-scale inference.
• Partner with product and research teams to translate foundational research into consumer-facing applications.
• Conduct rigorous evaluations to measure model performance, fairness, and robustness across diverse domains.

Skills

python

pytorch

tensorflow

computer-vision

nlp

multimodal

Education

Bachelor's or Master's in CS/AI

Job description

Google DeepMind is seeking a Machine Learning Engineer focused on multimodal models in Mountain View, CA. You will build and optimize models that fuse vision, audio, text, and video data, targeting low latency and high throughput at scale.

You should have 3+ years of industry experience with Python and deep learning frameworks (TensorFlow or PyTorch), plus a strong grasp of CV, NLP, and multimodal fusion techniques. Excellent collaboration skills are required.