Data Scientist + ML Engineer (Gen AI)

We are seeking a skilled Data Scientist and ML Engineer to develop and deploy generative AI models including diffusion models and LLMs. You will design synthetic data pipelines, fine-tune models, and collaborate with cross-functional teams. The role requires 2+ years of experience with Python and PyTorch.

• Design and implement LLM-driven synthetic data pipelines for high-quality data generation
• Develop, fine-tune, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs)
• Build and maintain scalable data pipelines for training, evaluation, and inference
• Conduct exploratory data analysis to identify opportunities for model improvement
• Collaborate with researchers, engineers, and data program managers to deliver ML solutions
• Enhance internal tools and automation workflows to accelerate experimentation

• Bachelor's degree in Computer Science or related field from an accredited U.S. institution
• 2+ years of experience in Machine Learning or Software Engineering
• Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch
• Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques
• Demonstrated experience with diffusion models, stable diffusion, or large language models (LLMs)