We are a small, but mighty team with a mission to optimize tedious audio workflows in healthcare and improve the patient experience. At Birch.ai, we’re applying cutting edge, proprietary NLP techniques to build transformative healthcare solutions, starting with healthcare-related call center automation.
Our founding team is made up of experts in the AI, healthcare and startup software industries and have led efforts at companies like, FAIR, SparkCognition, BCG and McKinsey. As a spin out of the Allen Institute for AI incubator, we truly value and understand the magnitude of applied AI to solve real-world problems. Our co-founder and CTO, Yinhan Liu is a pioneer in the NLP research space and has been the lead author of multiple publications, including the groundbreaking paper, RoBERTa.
In this role, you will:
Leverage state-of-the-art algorithms in NLP
Be at the forefront of deep learning research by staying on top of new literature and
communicating advances in the field with our team
Design and implement new techniques into production
Develop techniques to optimize and improve model performance and inference
Perform error analysis to improve models
Build data pipelines to continuously improve model performance.
You may be a good fit if you have:
Prior experience of at least 2 years applying ML/DL in a production environment
BS in Computer Science, Machine Learning, or related fields. MS/PhD is strongly preferred.
Prior experience with PyTorch
Familiarity with Fairseq/Transformer frameworks
Candidates with publications/open source projects in the space are strongly preferred
The ability to pass a rigorous coding interview
A demonstrated passion for AI - Expertise in at least one of the following facets of ML/AI - Text
summarization, Speech recognition, and Natural language understanding.
Benefits and Perks:
Competitive cash compensation and equity
Visa Support, if needed
Flexible working environment
Unlimited paid vacation
The opportunity to build something from the ground up, define a new product and lead a team
How to Apply:
Please send an updated CV and any links to your publications or examples of your work (e.g. github, website or demo) to: firstname.lastname@example.org
Please title the subject of the email: Name - Research Engineer Applicant