What are the responsibilities and job description for the Member of Technical Staff (Extraction) position at Contextual AI?
About the role
As a Member of Technical Staff specializing in Applied Research (Extraction and Document Understanding), you will work on state-of-the-art research and apply it to production systems for RAG 2.0 (Contextual Language Models Fine Tuning Alignment). Your focus will include advanced document understanding, efficient chunking strategies, and multimodal extraction techniques.
What you'll do
- Work on and conduct research in state-of-the-art retrieval augmented language models, fine-tuning, preference alignment, and document understanding algorithms.
- Develop and implement advanced chunking strategies for efficient document processing and information retrieval.
- Design and implement multimodal extraction techniques to process and analyze text, images, and other data types within documents.
- Collaborate closely with ML researchers, product managers, and designers to understand requirements and translate them into technical solutions.
- Integrate this research into the product through Software Development.
- Architect and build scalable and efficient backend services, APIs, and databases to support the platform's functionality and performance requirements, with a focus on document processing and multimodal data handling.
- Ensure seamless integration with machine learning models and pipelines, enabling efficient model deployment and management for document understanding tasks.
- Collaborate with cross-functional teams to continuously improve the platform's functionality, usability, and user experience, particularly in areas related to document processing and information extraction.
- Mentor and provide technical guidance to junior team members, promoting knowledge sharing and professional growth in areas of document understanding and multimodal extraction.
What we're seeking
Location : Mountain View, CA
Salary Range for California Based Applicants : $150,000 - $400,000 equity benefits (actual compensation will be determined based on experience, location, and other factors permitted by law).
Equal Employment
Contextual AI provides equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification. Equal employment opportunity includes but is not limited to, hiring, training, promotion, demotion, transfer, leaves of absence, and termination. Contextual AI takes allegations of discrimination, harassment, and retaliation seriously, and will promptly investigate when such behavior is reported.
