Data Scientist - Multimodal Language Models

June 3

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Arteria AI

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Discover the power of data-driven contracts

Contract Lifecycle Management • Legal Tech • Artificial Intelligence • NLP • SaaS

51 - 200

🔥 Funding within the last year

💰 $30M Series B on 2023-10

Description

• As a data scientist at Arteria AI, you’ll play an active role in developing products that are powered by machine learning and natural language processing as part of our enterprise SaaS platform for AI-powered documentation • Ideal candidate is a curious data scientist, with strong problem-solving skills, and a deep understanding of modern NLP, deep learning, and modeling techniques • Work alongside other data scientists, MLOps, engineers, and product teams to build optimal solutions to real-world problems. You will be an integral part of the end-to-end creation of the product lifecycle from ideation to launch in production • Work on some of the interesting aspects of the modern AI applications

Requirements

• Minimum of Masters degree in a quantitative program including Computer Science, Physics, Applied Mathematics, Statistics, Engineering, or related fields with practical knowledge • Solid programming experience and proficiency in Python • Proficiency in Machine Learning and related tools (SKLearn, XGBoost, etc) • An in-depth knowledge of Deep Learning, with deep expertise in PyTorch • Proficiency in modern NLP with deep knowledge in at least one of the major areas of NLP • Hands-on experience with deep-NLP and Transformers, and experience with using the Huggingface library for training and fine-tuning transformer-based models • Experience in solving complex problems with a high degree of uncertainty with minimal supervision • Experience with relevant NLP tools and libraries (SpaCy or Stanza) is a plus • Working knowledge of vector databases or NoSQL databases (preferably Elasticsearch) will be a plus • Demonstrated experience working with large amounts of data with significant ambiguity, developing creative approaches to analytical problems, and interpreting data and results from a business/industry perspective • Exposure to LLMs and relevant libraries such as LangChain and Llama-Index will be a plus

Benefits

• Competitive compensation packages, commensurate with relevant experience • Comprehensive benefits package • Support for further growth and development in an inclusive environment