Research Scientist, Natural Language Processing

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

When you think about your last doctor’s appointment, how much do you actually recall? If you’re like most people, you’ll likely forget over 40% of the conversation. Details fall through the cracks, generic printouts you receive end up in the trash, and important information never makes it to other doctors. Ultimately, you’re left needing to connect the dots in your care. That’s why we started Abridge with a simple thesis: if we can shift agency to consumers, we can help them stay on top of their health. When you use Abridge to record your health conversations, the conversations themselves become your medical record. It’s as easy as that.

From transcribing medical parts of the conversation to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking for a research scientist with experience in natural language processing to help us strengthen and expand our medical conversation understanding capabilities.

What You'll Do:

• Conduct research to advance state of the art on information extraction and summarization related natural language processing tasks
• Utilize that research to develop and deploy scalable neural network models into production
• Actively contribute to the wider research community by sharing and publishing your findings
• Be results-oriented in the face of ambiguous problems and uncertain outcomes

Who You Are:

• Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or similar with specialization in natural language processing or machine learning
• 3+ years experience in building NLP systems
• Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions
• Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Caffe, Chainer, or PyTorch)

Ideally, you have:

• Expertise in various facets of ML and NLP, such as conversational dialogue systems, classification, information extraction, semi-supervised learning, and topic modeling
• A passion for making ML methods robust and scalable

Life at Abridge

At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.