Senior ML Engineer: Computer Vision & Vision-Language

Uber; Seattle (WA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity awards

401(k) plan

Job summary

Uber is seeking a Senior Machine Learning Engineer – Computer Vision to develop and deploy advanced vision and multimodal models for document understanding across the platform. The role combines research innovation with production engineering, supporting applications like identity verification and receipt transcription.

You will work with cross-functional teams to design data requirements, label strategies, and evaluation metrics, and you will own the end-to-end lifecycle from model development

Qualifications

• 5+ years of hands-on experience in machine learning, with a strong focus on computer vision or multimodal systems.

Responsibilities

• Develop and train state-of-the-art computer vision and multimodal models to transcribe and understand diverse document types including identity documents, receipts, invoices, and restaurant menus.
• Design and implement scalable vision systems balancing latency, accuracy, privacy, and cost.
• Collaborate with ML Infrastructure and Earner/Product teams to define data requirements, labeling strategies, and evaluation metrics.
• Own the full system lifecycle from model development to production deployment, monitoring, and scaling.
• Build robust evaluation frameworks to measure transcription accuracy and document understanding across geographies and formats.
• Optimize models for performance and edge deployment when required.
• Analyze production data and failure cases to improve model quality and system reliability.

Skills

Python

Deep learning

Computer vision

Multimodal systems

Production deployment

Cross-functional collaboration

Tools

PyTorch

JAX

TensorFlow Lite

ONNX

Job description

Uber is seeking a Senior Machine Learning Engineer – Computer Vision to develop and deploy advanced vision and multimodal models for document understanding across the platform. The role combines research innovation with production engineering, supporting applications like identity verification and receipt transcription.

You will work with cross-functional teams to design data requirements, label strategies, and evaluation metrics, and you will own the end-to-end lifecycle from model development