Machine Learning Intern
Core
Build, optimize, and scale real-world applications of bio foundation models, translating research into production-grade systems.
Role type
Machine Learning Engineer
Builds
Production ML pipelines, model training/inference workflows, and core ML infrastructure for biological foundation models
Domain
Biotechnology / Pharma / AI Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, TensorFlow, MLOps, Transformers, Diffusion Models, SSMs, distributed training, model optimization
Preferred skills
Open-source contributions, model compression, foundation model benchmarking, API integration
Technologies
Weights & Biases, Ray, Docker, Transformers, SSMs
Responsibilities
Build scalable training/inference pipelines, optimize model performance and latency, design modular ML components, own ML infrastructure components, drive experimentation on fine-tuning and transfer learning
Seniority
Intern
