Description:

Join the LlamaParse team to help shape the future of AI by architecting next-generation knowledge systems.
Work at the intersection of document processing, machine learning, and software engineering to enhance document understanding.
Develop and optimize machine learning models for document structure understanding, table extraction, and layout analysis.
Build and maintain robust APIs and infrastructure to support high-volume document processing.
Collaborate with the broader AI team to improve RAG pipeline integration and document preprocessing.
Drive technical decisions while balancing speed, quality, and maintainability.
Contribute to both the open-source framework and enterprise offering.

Requirements:

A minimum of 3 years of experience in a related field.
Deep expertise in Python and at least one ML framework (such as Torch or Keras).
Strong ML engineering background with experience in building and deploying models in production.
Experience in curating and building training sets.
Familiarity with document processing technologies, including PDF parsing, OCR, and layout analysis.
Strong understanding of modern AI/ML techniques, particularly in document understanding and NLP.
Proven track record of executing with high intensity in fast-paced environments.
Preferred qualifications include experience with production API design and implementation, a software engineering background with expertise in Typescript, and experience with building file parsers or OCR.

Competitive base salary and equity compensation.
Comprehensive medical, dental, and vision coverage for you and your family.
Flexible time off policy to promote work-life balance.
Daily catered lunch and snacks provided in the San Francisco office.
Opportunities to work on innovative AI products that redefine knowledge access and utilization.
Join a collaborative team of passionate individuals committed to pushing technological boundaries.
Ample opportunities for personal and professional growth within a scaling organization.