Machine Learning (ML) Bioengineer
Core
Research training and evaluation of next-generation clinical, protein, and genome language models to advance national security and public health missions.
Role type
Senior IC machine learning bioengineer (computational protein design)
Builds
Predictive computational models and machine learning-based methods for protein and genome analysis
Domain
National security, public health, computational biology, protein design
Deliverable
production ML models
Required skills
deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, high-performance computing, multi-node multi-GPU distributed training, protein and genome language models
Preferred skills
GPU programming, complex workflow execution, peer-reviewed publication experience, conference presentation experience
Technologies
PyTorch, TensorFlow
Responsibilities
Develop, implement, and evaluate computational frameworks and models; analyze data and contribute to advanced analysis methodologies; document research through presentations and peer-reviewed publications; represent the organization as a primary technical contact on projects; oversee activities of other personnel and provide informal mentoring; balance multiple projects and priorities to meet deadlines.
Seniority
Senior, hands-on IC with potential for SES.3 level leadership