Applied AI Scientist, Small Language Model and AI Training
Core
Lead research and development of efficient, high-performance small language models tailored for practical applications, optimizing architectures and training pipelines.
Role type
Applied AI Scientist (Small Language Models)
Builds
Efficient language models and scalable AI training pipelines
Domain
Artificial Intelligence / Machine Learning / Software Development
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, JAX, language model architectures, distributed training, data pipeline design, model compression, fine-tuning, domain adaptation, AI safety, interpretability
Preferred skills
reinforcement learning, prompt engineering, transfer learning, developer tools, AI alignment, ethical AI training methodologies
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Lead R&D of novel training methodologies and architectures for small language models; Design, implement, and evaluate model training experiments; Collaborate on scalable training pipelines and deployment strategies; Develop techniques for model compression and domain adaptation; Ensure AI safety, fairness, and alignment; Mentor cross-functional teams on applied ML methods; Evaluate and integrate new tools and datasets; Partner with product teams to translate model capabilities into features.
Seniority
Senior, hands-on IC with mentorship responsibilities
