Senior Machine Learning Engineer - Remote

Overview

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

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 to align ML solutions with Cohere’s core objectives.

Requirements

• You have 3+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or a similar field.
• Clear understanding of model building, model maintenance and the measures that optimize models 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.

Benefits

• Competitive salary range of $145,000 to $170,000 annually.
• Comprehensive health insurance.
• 401k plan.
• Bonus opportunities.
• Supportive and inclusive work environment.