Senior NLP Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

What you’ll do

Our AI-Scribe has recently gone viral in the field of healthcare, leading to rapid growth in every aspect of the business - customer-base, product offering, team, and healthcare footprint. We’re going from a radical idea to a mature offering, which means redesigning, rethinking, and rebuilding to enable this next chapter. You’ll work with the largest and fastest-growing dataset of physician-patient conversations to improve our current models, work with the product team to develop ML-powered features, and mentor/guide/grow our ML team.

Your Impact

• Take ownership of the architecture that powers the state-of-the-art models that are ingesting and generating summaries for thousands of patient-physician interactions daily across iOS and Telemedicine
• Turn feature requests into AI-powered workflows, then build, iterate, and deploy the models
• Constantly perform deep analyses on how our models are performing as our user-base of both patients and doctors grows and translate those findings into both the product and ML roadmap
• Improve the efficiency of our human-in-the-loop component and the accuracy/efficacy of our data-labeling arm
• Optimize peripheral workflows/technologies outside of our core note-taking AI from the audio-input device, ASR, human-in-the-loop app, and the final physician-feedback interface.
• Lay the foundation for strategic projects and future initiatives, work with leadership to define roadmaps, and execute
• Take charge as one of the key technical authorities in the company, representing our ML model architecture, techniques, ML-related product features, and the infrastructure our ML sits on
• ML Tech Stack: Pytorch, AWS Sagemaker, and GCP

Your Experience

• You have an MS, Ph.D., or industry experience with strong demonstrated work in a related domain or problem space
• Intellectual Curiosity: Not just interested in solving the current problem-at-hand but constantly thinking about big-picture paradigm shifts in healthcare and constantly experimenting + laying the foundation to define what the future looks like
• Excited about Healthcare: The healthcare landscape is ripe for change, but it requires grit, relentless motivation, and willingness to dive deep into clinical workflows to drive change
• Quick problem thinker: You've previously served a role that involved constantly having to break down and solve complex problems
• Leader: People can look up to you to define principles and design processes/workflows. You'll have no problem growing into leadership.
• Surprisingly efficient: You move fast, work smart, and are thorough
• Bold: You will be making key decisions that define the future of our technology stack and take ownership of your work