Staff ML Engineer - Build Scalable Multimodal AI Platform

kadence; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

A leading AI infrastructure company in San Francisco is looking for a Machine Learning Engineer with expertise in model development and scalable ML systems. The role involves creating essential components for multimodal data platforms and enhancing the developer experience for AI teams. Ideal candidates should possess strong Python skills and experience with ML frameworks like PyTorch or TensorFlow. This is a full-time position with a focus on advancing AI infrastructure solutions.

Qualifications

• 3+ years of experience building or deploying ML/DL models in production.
• Strong Python skills and experience with frameworks like PyTorch or TensorFlow.
• Demonstrated ability to own projects end-to-end.

Responsibilities

• Act as an in-house expert on modern AI engineering.
• Drive a best-in-class Developer Experience for AI/ML practitioners.
• Lead the design and development of high-performance, large-scale infrastructure.

Skills

Python

Machine Learning

Data Engineering

Experience with PyTorch

Tools

TensorFlow

AWS

Kubernetes

Job description

A leading AI infrastructure company in San Francisco is looking for a Machine Learning Engineer with expertise in model development and scalable ML systems. The role involves creating essential components for multimodal data platforms and enhancing the developer experience for AI teams. Ideal candidates should possess strong Python skills and experience with ML frameworks like PyTorch or TensorFlow. This is a full-time position with a focus on advancing AI infrastructure solutions.