We are looking for senior data engineers interested in building a document intelligence service for professional workers with our worldwide RD, PM, and growth teams. The service applies AI to assist professional workers in automating document processing. For example, it can automatically review professional documents, such as contracts and financial documents, and make revision suggestions. It also detects sensitive information in digital documents and redacts them automatically.

This is a leadership role. You have to lead data engineers and collaborate with other teams. This role requests creation, innovation, and originality.

Responsibilities

1. Research and evaluate pioneering machine learning and statistical models
2. Use machine learning and analytical techniques to build prediction models for document intelligence solutions.
3. Design, develop, and test advanced models for predictive user behaviors
4. Design efficient, scalable, automated processes for large scale data analyses, model development, model validation, and model implementation
5. Cooperate with engineering teams to provide solutions with machine learning techniques
6. Cooperate with project managers to create new features with the benefits of machine learning techniques

Minimum qualifications

1. Master degree in Computer Science, related technical field, or equivalent practical experience
2. At least six years of relevant experience in CV (computer vision)
3. Experience with one general-purpose programming language (e.g., Python, Java, C/C++)
4. Experience in algorithms and libraries of CV
5. Excellent documentation, communication, organizational, and analytical skills
6. Experience in data processing of textual and numerical data
7. Experience with Linux/Unix environments and containers
8. Self-motivated and responsive to multiple challenges in a fast-moving team environment

Preferred qualifications

1. Advanced degree in engineering or technical/scientific field of study
2. Familiar with object detection and layout analysis CV models and algorithms
3. Experience in building and operating large scale distributed systems or applications
4. Excellent documentation, communication, organizational, and analytical skills
5. Experience in MLOps