Scientist II Machine Learning Engineer (LLM & GenAI Specialist)

Job summary

Responsibilities

We are seeking a highly skilled and experienced Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions. In this role, you will focus heavily on Large Language Models (LLMs), Generative AI, and Advanced Deep Learning architectures.

• Develop scalable machine learning libraries, tooling, and research workflows in close partnership with research and data scientists.
• Shape research infrastructure requirements and drive tool and software choices in collaboration with the platform team.
• Champion software engineering best practices across the team, enabling researchers and scientists to write maintainable, testable, efficient, and scalable code.
• Design and enhance systems for experiment tracking, reproducibility, and end-to-end model lifecycle management.
• Contribute to and accelerate the rapid prototyping of novel models, helping bridge early research and robust implementation.

What they're looking for

• Education: Master’s or Ph.D. in Computer Science, Data Science, or a related quantitative field with a strong focus on ML/AI.
• Experience: 5+ years of professional experience in software development with Python and a proven track record of deploying deep learning models into production.
• ML/DL Frameworks & Ecosystems: Deep understanding of machine learning algorithms, statistical methods, and deep learning frameworks. Mastery of PyTorch or TensorFlow.
• LLM Specialization: Deep understanding of Transformer architectures, attention mechanisms, and the latest breakthroughs in Generative AI.
• Cloud & MLOps: Experience with cloud platforms (AWS, GCP, or Azure) and SageMaker

Tech stack

• Python
• PyTorch
• TensorFlow
• RAG
• AWS
• GCP
• Azure
• Docker