AI/ML Scientist/Engineer(remote)

Location: remote

Duration: Long Term

Position Overview: We are seeking a highly motivated AI/ML Scientist/Engineer to work on advanced AI for Drug Discovery initiatives. This role focuses on transforming drug discovery through the design, development, training, optimization, and deployment of advanced deep learning models for lab-in-the-loop molecular design and optimization. The work spans sequence, structure, conformational ensembles, molecular property prediction, and architectural innovation across natural language processing, computer vision, and robotics. The successful candidate will collaborate with ML Scientists, ML Engineers, and Drug Designers in a multidisciplinary research environment.

Key Responsibilities: Model Development & Deployment: Design, optimize, evaluate, and deploy cutting-edge deep learning models, including Large Language Models (LLMs), multimodal transformers, and generative models, along with supporting data pipelines. Scaling & Infrastructure: Optimize and scale training and inference using multi-GPU and cloud infrastructure. MLOps & Maintenance: Implement and manage MLOps workflows, including model deployment, version control, and performance monitoring to ensure robustness and reproducibility. Multi-modal Data Integration: Develop algorithms to identify associations across diverse datasets, including omics (genomics, transcriptomics), imaging, and clinical data. Scientific Collaboration: Partner with cross-functional scientific and engineering teams to translate novel machine learning methods into applications for disease understanding and clinical decision-making.