Senior Multimodal Document AI Scientist

LexisNexis; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

A global provider of information-based analytics is seeking a candidate for the design and continuous evolution of a multimodal document understanding platform. The selected candidate will lead the multimodal model strategy, focusing on tasks such as complex layout analysis and data extraction. The role requires a strong foundation in machine learning and data science, with a focus on multimodal representations. A Master’s degree and at least 5 years of experience in relevant fields are essential. This position offers an opportunity to innovate and deliver effective solutions in the legal market.

Qualifications

• 5+ years of hands-on machine learning or data science experience.
• Proven delivery experience in multimodal document understanding.
• Strong foundation in statistical analysis and experimental design.

Responsibilities

• Design and iterate the multimodal document parsing pipeline.
• Build and optimize multi-agent collaboration mechanisms.
• Define model selection and composition strategies.

Skills

Machine learning

Data science

Multimodal representations

Cross-modal alignment

Statistical analysis

Education

Master’s degree in Statistics or related field

Tools

Python

Deep learning frameworks

Job description

A global provider of information-based analytics is seeking a candidate for the design and continuous evolution of a multimodal document understanding platform. The selected candidate will lead the multimodal model strategy, focusing on tasks such as complex layout analysis and data extraction. The role requires a strong foundation in machine learning and data science, with a focus on multimodal representations. A Master’s degree and at least 5 years of experience in relevant fields are essential. This position offers an opportunity to innovate and deliver effective solutions in the legal market.