ML Engineer
• Senior-Level
• Remote
• Data
Mark status as:
✨ The Role in One Sentence
Apheris is seeking a Principal ML Engineer to lead technical direction for structural biology models and advance AI systems for life sciences.
📋 What You'll Likely Do
30%: Drive technical approach for ML applications in structural biology, fine-tuning foundational models.
30%: Design and implement model extensions for protein complex and binding affinity prediction.
40%: Maintain scalable machine learning models and pipelines for training, inference, and deployment.
🧑💻 Profiles Doing This Job
High Priority: Deep experience building and training transformer-based models.
High Priority: Experience applying ML to protein structure or drug discovery problems.
High Priority: Familiarity with modern MLOps tooling.
📈 How This Role Will Look on Your CV
Led ML efforts in structural biology, demonstrating measurable progress in model performance and real-world impact.