Machine Learning Engineer - NLP - Remote

Overview

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!

In Short

• Work on computational infrastructure with a focus on NLP techniques.
• Improve current processes and usability of the platform.
• Implement microservices architecture using Go.
• Collaborate with a team of technologists and clinicians.
• Utilize a tech stack that includes GCP, Kubernetes, Golang, Python, and more.
• Be part of a user-driven company focused on healthcare technology.
• Help scale the platform for thousands of doctors.
• Contribute to building and maintaining distributed backend services.
• Engage in a fast-moving organization with cutting-edge technology.
• Join a company recognized for innovation in AI/ML.

Requirements

• 2+ years of Machine Learning experience focused on NLP.
• Proven record of end-to-end workflow and deploying NLP models.
• Expert in deep neural network models.
• Experience building distributed backend services for ML/AI applications.
• Strong grasp of CS fundamentals including algorithms and data structures.

Benefits

• Hybrid work model with flexibility for remote work.
• Opportunity to work on impactful healthcare solutions.
• Collaborate with a talented team from diverse backgrounds.
• Be part of a company recognized for its innovation and growth.
• Make a significant impact from day one.