Machine Learning Engineer, Multimodal AI

AI Breaking Wire; Mountain View (CA); Hybrid; USD 220,000 - 360,000; Full time

Benefits offered by this job

Competitive compensation & equity

Health & wellness coverage

Hybrid work environment

On-site fitness centers & cafeterias

Job summary

Google DeepMind is seeking a Machine Learning Engineer specialized in multimodal models to build and deploy advanced AI systems in production environments.

You will train and fine-tune foundation models, optimize latency and efficiency, and collaborate with product and research teams to transform breakthroughs into scalable, real-world applications.

Qualifications

• 3+ years of experience designing and deploying deep learning models in production.
• Strong background in computer vision, natural language processing, or multimodal architectures.
• Proficiency in JAX or PyTorch and experience with large-scale data pipelines.
• MS or PhD in Computer Science, Machine Learning, or a related quantitative field.

Responsibilities

• Build advanced multimodal machine learning models capable of understanding vision, audio, text, and video.
• Train, fine-tune, and optimize state-of-the-art foundation models for real-world product integration.
• Drive architectural improvements to enhance model efficiency, latency, and accuracy.
• Partner with product and research teams to translate theoretical breakthroughs into scalable applications.

Skills

JAX

PyTorch

Multimodal

Computer Vision

NLP

Education

MS or PhD in CS/ML or related field

Job description

# Machine Learning Engineer, Multimodal AIGoogle DeepMind## Job Description### About Google DeepMindGoogle DeepMind brings together brilliant minds from all disciplines to solve some of the world's most complex scientific and technological challenges through AI.### Responsibilities- Build advanced multimodal machine learning models capable of understanding vision, audio, text, and video.- Train, fine-tune, and optimize state-of-the-art foundation models for real-world product integration.- Drive architectural improvements to enhance model efficiency, latency, and accuracy.- Partner with product and research teams to translate theoretical breakthroughs into scalable applications.### Requirements- 3+ years of experience designing and deploying deep learning models in production.- Strong background in computer vision, natural language processing, or multimodal architectures.- Proficiency in JAX or PyTorch and experience with large-scale data pipelines.- M.S. or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.### Benefits- Highly competitive salary, bonus, and equity programs.- Comprehensive health and wellness coverage.- Flexible hybrid work environment.- On-site fitness centers and gourmet cafeterias.## Skills & Tagsjaxpytorchmultimodalcomputer-visionnlp## Job DetailsFull-timeMountain View, CA$220k – $360k USDPosted August 3, 2026Expires October 2, 2026