Research Engineer
Core
Build and improve data processing, transformation, and loading systems to support model training and inference at scale for a TechBio company developing transformational medicines.
Role type
Research Engineer (ML Systems)
Builds
Data pipelines, research and production codebases, and software foundations for ML research and drug discovery.
Domain
Biotechnology / Machine Learning / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, algorithms and data structures, ML fundamentals and deep learning, model training and evaluation, AWS/GCP, Docker, Kubernetes, CI/CD, orchestration tools (Airflow/Prefect), model-serving frameworks
Preferred skills
biology or bioinformatics domain knowledge, experience with NVIDIA DGX clusters
Technologies
PyTorch, Python, AWS, GCP, Docker, Kubernetes, Airflow, Prefect, NVIDIA DGX
Responsibilities
Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering; Build and improve data processing, transformation, and loading systems; Develop and maintain high-quality research and production codebases; Advance software engineering practices by optimizing systems and streamlining pipelines
Seniority
Mid-level, hands-on IC
