Lead Machine Learning Engineer - Remote

Overview

As a Lead Machine Learning Engineer, you’ll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices.

In Short

• Design, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases.
• Develop reliable and scalable production machine learning systems.
• Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment.
• Provide software and machine learning best practice guidance to junior engineers.
• Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership.

Requirements

• At least 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD.
• Clear understanding of model building, model maintenance and optimization for production use.
• Understand experimental design and can independently perform collection, measurement, and interpretation of results.
• Expert in Python with experience in deep learning frameworks (e.g., PyTorch).
• Hands on experience building deep learning models (e.g., transformers) for NLP tasks.
• MS or PhD required.

Benefits

• Fully remote opportunity with about 20% travel.
• Medical, dental, vision, life, disability insurance, and Employee Assistance Program.
• 401K retirement plan with company match; flexible spending and health savings account.
• Up to 184 hours (23 days) of PTO per year + company holidays.
• Up to 14 weeks of paid parental leave.
• Pet insurance.