Junior Machine Learning Engineer

Century Health is at the forefront of transforming patient care through cutting-edge technology. Our mission is to accelerate patient access to breakthrough treatments by harnessing the power of AI to analyze real-world clinical data. By joining us, you become part of a dynamic team dedicated to developing this real-world data marketplace.

We are seeking a highly skilled and motivated junior machine learning engineer to join our growing team! This role is crucial for developing and optimizing our data pipelines, and ensuring data quality and accessibility for advanced analytics and AI models. The ideal candidate will have a strong background in ML engineering, with proven experience building and fine-tuning LLMs for different use cases (text abstraction, Text2SQL, data modeling). Familiarity with data pipelining and orchestration, including big data technologies such as SQL, DBT, Spark and Python, as well as knowledge with cloud infrastructure and database systems is a big plus.

As one of the first hires to our fast-growing startup, you will be given a lot of responsibility and the opportunity to shape our product and data architecture from the ground up! Furthermore, you will receive direct mentorship from the CTO, work closely with our full-stack and data engineering team, and participate fully in all team events.

Key responsibilities:

• Build and deploy LLMs for specific clinically relevant tasks, such as abstracting concepts from a clinical note, automatically cleaning structured data, and building a Text2SQL chatbot.
• Design, build, and maintain efficient, reliable, and scalable data pipelines, from raw data ingest to data cleaning to managing front-end outputs
• Leverage AWS cloud services to enhance our data infrastructure's scalability and performance
• Work on database management systems, such as PostgresSQL
• Collaborate with full-stack and data engineers to manage hand-off between data insights and front-end visualization
• Ensure high-quality data governance and security practices are maintained
• Contribute to creating a culture of shipping, quality, feedback, and continuous learning within the team.

Skills Required:

SQL, DBT, Python, Spark, AWS, PostgresSQL, GenerativeAI