Nlp Data Scientist Jobs

This is a call for all NLP scientists at various levels not limited to junior candidates. The title will be determined based on the candidate's experience.

About Arteria AI

Arteria AI is made up of a passionate, rapidly growing team of data scientists, developers, lawyers and designers, with a vision to build transformative, AI-enabled solutions for the business world. Our mission is to help companies transform how they interact with their most important documents—contracts.

With our award-winning technology in intelligent contracting, we’re looking for enthusiastic individuals who want to grow and win with us!

About the Position

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.

This is a great role for anybody interested in making an impact and joining a friendly team that’s driven by innovation and growth.

Our ideal candidate is a curious data scientist, with strong problem-solving skills, and a deep understanding of modern NLP, deep learning, and modeling techniques. We are working as a team, and we are looking for great team players who enjoy solving challenging problems.

In This Role You Will:

• 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 including:

1. Multimodal Document Understanding
2. Large Language Models and their applications
3. Information Retrieval
4. Reasoning and comprehension
5. Question Answering
6. Recommendation systems
7. Multilingual, Extreme Multilabel Classifications
8. Novel self/semi-supervised and low-shot/zero-shot methods
9. Continual and meta learning
10. Knowledge Graph based methods for retrieval, search and discovery.

• Own all aspects of accessing and using the data, including data cleaning, data normalization, and data preparation to be used for training, testing, or inference,
• Work on different data sets and solve real-world problems using various components of data science such as deep learning, natural language processing, data modeling, etc.

About You:

You are a good fit if you are a curious and motivated data scientist with:

• Proficiency in Machine Learning and related tools (SKLearn, XGBoost, etc)
• Working knowledge of vector databases or NoSQL databases (preferably Elasticsearch) will be a plus.
• Knowledge of modern NLP with a 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.
• Exposure to LLMs and relevant libraries such as LangChain and Llama-Index 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
• Experience with relevant NLP tools and libraries (SpaCy or Stanza) is a plus.
• Solid programming experience and proficiency in Python
• An in-depth knowledge of Deep Learning, with deep expertise in PyTorch.
• Experience in solving complex problems with a high degree of uncertainty with minimal supervision.
• Minimum of Masters degree in a quantitative program including Computer Science, Physics, Applied Mathematics, Statistics, Engineering, or related fields with a practical knowledge of the below subject matters. Candidates with higher graduate experience (PhD / Postdoc) are highly encouraged to apply.

If this position sounds like something that fits your experience and interests, please apply! We'd love to hear from you.

Compensation and Benefits

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