Senior Computer Vision & Multimodal ML Engineer

Uber; United States; On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonuses

Equity

401(k) plan

Benefits

Job summary

Uber’s Applied AI team seeks a Senior Machine Learning Engineer — Computer Vision to develop and deploy state-of-the-art vision and multimodal models for document understanding across the platform. You will design, train, and optimize CV and vision-language models and bring them into production at scale, supporting onboarding verification, receipt transcription, and menu digitization.

You will work with ML Infrastructure and product teams, own full lifecycle from experimentation to deployment,

Qualifications

• 5+ years of hands-on ML experience, with a strong focus on computer vision or multimodal systems.
• Solid foundation in deep learning fundamentals, including training, evaluation, and debugging of neural networks.
• Proficiency in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow (Lite).
• Experience deploying ML models into production systems and working with real-world datasets.
• Strong problem-solving skills and ability to work cross-functionally in product-driven environments.

Responsibilities

• Develop and train state-of-the-art computer vision and multimodal models (e.g., Vision-Language Models such as Gemini or similar foundation models) to transcribe and understand diverse document types including identity documents, receipts, invoices, and restaurant menus.
• Design and implement scalable vision systems, combining on-device and server-side models to balance latency, accuracy, privacy, and cost efficiency.
• Collaborate closely with ML Infrastructure and Earner/Product teams to define data requirements, labeling strategies, evaluation metrics, and integration pathways into the broader ML lifecycle.
• Own the full system lifecycle, from advanced model development and experimentation to production deployment, monitoring, and scaling for high-throughput applications.
• Build and maintain robust evaluation frameworks to measure transcription accuracy, document understanding performance, and model robustness across diverse geographies and document formats.
• Optimize models for performance and efficiency, including model compression, quantization, and hardware-aware optimization for mobile or edge deployment when required.
• Analyze production data and failure cases to continuously improve model quality, generalization, and system reliability.

Skills

5+ years ML experience

Deep learning fundamentals

Python

PyTorch/JAX/TF LITE

Tools

PyTorch

JAX

TensorFlow Lite

Job description

Uber’s Applied AI team seeks a Senior Machine Learning Engineer — Computer Vision to develop and deploy state-of-the-art vision and multimodal models for document understanding across the platform. You will design, train, and optimize CV and vision-language models and bring them into production at scale, supporting onboarding verification, receipt transcription, and menu digitization.

You will work with ML Infrastructure and product teams, own full lifecycle from experimentation to deployment,