DAT-023 Natural Language Processing/Understanding Applied Scientist

Vancouver, Canada (Remote)

The practice of law is evolving; our client is bringing legal technology up to speed. This is an opportunity to join one of the fastest-growing companies in the legal technology sector. We are looking to hire a highly motivated NLP/NLU Applied Scientist to help us conceptualize, prototype, and implement AI-based solutions leveraging the latest trends in the field.

Our client aims to produce repeatable legal-tech solutions that improve their customers' day-to-day lives. As a result, their product engineering team is key to their success as an organization. Collaborating with product managers and engineering managers, the NLP/NLU Applied Scientist plays a significant leadership role in leveraging technologies to enable our client's future-state technological capabilities and enable new technologies and engineering practices to achieve the company's targeted business outcomes.

This position provides a great opportunity to make an impact at an early-stage startup. You will have a diverse array of responsibilities. You will receive on-the-job training and mentorship from senior team members who have worked at New York law firms and other technology startups and have taught at elite American universities. This position reports directly to the Lead of Document Intelligence.

Responsibilities

• Research and propose appropriate models/techniques to enhance Document Intelligence capabilities by training and implementing models, leveraging classical machine learning methods and deep learning when appropriate.
• Work with product owners, engineers, and domain experts to understand detailed requirements and own your code from design to implementation, testing and delivery.
• Engage daily in team meetings and discussions with a team of like-minded developers, linguists, domain experts, product managers and quality engineers to produce quality AI-driven solutions.
• Assist in assessing and analyzing business strategy & requirements, working on breaking down, scoping and estimating tasks.

About You

• 5 years of experience with classical machine learning and deep learning algorithms, with a focus on encoder-decoder and transformer-based architectures.
• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Engineering or related discipline.
• Hands-on experience coding with Python or other established scripting languages and tools for machine learning, deep learning, and NLP.
• Experience with topics such as data preparation & cleaning, feature engineering, interactive machine learning, and other classical machine learning techniques for classification and NLP/NLU.
• Experience with AI models/product life cycle and their different stages.
• Understanding of service-oriented architectures, microservices concepts and design patterns, cloud-native solutions and best practices.
• Experience with version control systems like Git.
• Enthusiastic about staying up to date with AI literature and state-of-the-art techniques in your field.
• Experience working in a fast-paced environment using Agile methodologies for developing software