Machine Learning Engineer
Description For Machine Learning Engineer
Paradigm is an innovative healthcare technology company that's revolutionizing the clinical research ecosystem. Backed by ARCH Venture Partners and leading healthcare investors, we're building a platform that democratizes access to clinical trials while improving efficiency for healthcare providers.
We're seeking a Machine Learning Engineer to join our mission-driven team. This role focuses on developing NLP and LLM-based models to streamline clinical trial execution and integrate them seamlessly into provider workflows. You'll be at the forefront of creating innovative solutions that improve protocol design, enhance patient recruitment, and accelerate clinical trial processes.
The ideal candidate brings strong technical expertise in machine learning, with experience in model development, deployment, and production systems. You'll work closely with cross-functional teams, including clinicians and informaticists, to build scalable solutions that align with our mission of making clinical trials accessible to all patients.
This is an opportunity to make a meaningful impact in healthcare technology, working with cutting-edge AI technologies while contributing to a mission that could help bring life-saving therapies to patients faster. Our collaborative, fast-paced startup environment offers the chance to work on challenging problems with significant real-world impact.
Join our diverse team of passionate professionals who are committed to transforming clinical research. Your expertise in machine learning, combined with our mission to create equitable access to clinical trials, will help shape the future of healthcare delivery and patient care.
Responsibilities For Machine Learning Engineer
- Build, test, and deploy ML models and pipelines at scale
- Collaborate with clinicians, informaticists, and engineers
- Develop and maintain GenAI/LLM-based models for trial execution
- Integrate models into production systems
- Build tools for monitoring and improving model performance
- Communicate technical insights to stakeholders
Requirements For Machine Learning Engineer
- Masters or PhD in statistics, computer science, or related field
- 2+ years of experience as a machine learning engineer or data scientist
- Hands-on experience in training, evaluating, deploying, and fine-tuning ML models
- Proficiency with Python, SQL and machine learning algorithms
- Experience in production-level engineering architecture
- Strong problem-solving skills and ability to collaborate
- Comfortable in fast-paced, mission-driven startup environment
