Staff Machine Learning Engineer

What you'll do

• Lead the development and optimization of advanced machine learning models.
• Design and implement transformer-based architectures for fine-tuning and domain adaptation.
• Integrate AI or agentic systems, including LLM-based agents, into data solutions.
• Apply reinforcement learning techniques to optimize policies and value functions.
• Utilize graph-based models for representation learning in complex datasets.
• Develop semi-supervised and unsupervised learning methods for model training.

What we're looking for

• Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Experience with transformer-based architectures including fine-tuning and domain adaptation.
• Knowledge of reinforcement learning techniques such as policy optimization and value function approximation.
• Hands-on experience with graph-based models or graph representation learning.
• Research background in ML/AI areas with publications or open-source contributions.
• Prior work in high-impact domains like fraud detection or risk modeling.