Description

Design and implement machine learning solutions focused on generative AI, including synthetic data creation and model optimization.

This role is remote.

Responsibilities

• Build workflows using LLMs and generative AI techniques to generate synthetic data for training and testing.
• Implement and deploy ML models, specifically diffusion models and large language models.
• Fine-tune, evaluate, and optimize LLMs for specific downstream tasks.
• Develop and maintain scalable data pipelines for training, evaluation, and inference.
• Conduct exploratory data analysis to identify opportunities for model or data improvement.

Required Skills

• Bachelor's degree in Computer Science or a related field from an accredited U.S. institution.
• 2+ years of experience in Machine Learning or Software Engineering.
• Expert-level proficiency in Python.
• Familiarity with deep learning frameworks such as PyTorch.
• Strong foundation in ML algorithms, data preprocessing, and evaluation techniques.
• Demonstrated experience with diffusion models, stable diffusion, or LLMs.
• Excellent analytical, problem-solving, and debugging skills.

Preferred Skills

• Strong communication and documentation skills.
• Ability to work independently in an iterative development environment.

Key Skills

Education

Bachelor's degree