Senior Machine Learning Engineer - Remote

Overview

Paradigm is rebuilding the clinical research ecosystem by creating a platform that enables equitable access to trials for all patients while enhancing trial efficiency and reducing the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm aims to break down barriers across the trial ecosystem through one seamless infrastructure implemented at healthcare provider organizations, bringing potentially life-saving therapies to patients faster.

Our team is diverse in its experience and committed to the company’s mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission.

In Short

• Lead the development, testing, and deployment of ML models and pipelines.
• Design and refine GenAI/LLM-based models for clinical trial operations.
• Collaborate with clinicians, informaticists, data scientists, and engineers.
• Drive improvements in model deployment infrastructure.
• Mentor junior ML engineers and establish best practices.
• Present technical insights to stakeholders.

Requirements

• Master’s or PhD in computer science, statistics, machine learning, or related field.
• 5+ years of experience as a machine learning engineer.
• Deep expertise in training and deploying ML models.
• Experience managing production-level pipelines.
• Advanced analytical skills and collaborative problem-solving.
• Adaptability in fast-paced environments.

Benefits

• Equal employment opportunities for all qualified individuals.
• Diverse and inclusive workplace.
• Encouragement for candidates from diverse backgrounds.
• Reasonable accommodations for individuals with disabilities.