Principal AI/ML Research Engineer
Core
Drive applied AI research, novel model development, and algorithmic innovation across generative AI, deep learning, and traditional machine learning to solve complex commerce and fintech challenges.
Role type
Principal AI/ML Research Engineer (Technical Leader)
Builds
Payment Foundation Models (PFMs), universal embeddings for downstream commerce applications, and production-grade AI prototypes.
Domain
Fintech, Payments, Commerce
Deliverable
production ML models
Required skills
Transformer architectures, self-supervised pre-training, LLM fine-tuning, RAG, Reinforcement Learning, time-series forecasting, anomaly detection, graph algorithms, distributed training/inference, model optimization, XAI frameworks
Preferred skills
C++ or Java for performance-critical components, publications in top AI/ML venues, domain knowledge in payments/fraud detection
Technologies
PyTorch, TensorFlow, JAX, Ray, DeepSpeed, Megatron, Spark, AWS, Azure, SageMaker, MLflow, Databricks, LanceDB, Pinecone, Qdrant, Milvus
Responsibilities
Design self-supervised pre-training strategies for payment histories; adapt Transformer architectures for enterprise-grade Payment Foundation Models; lead applied research in fraud detection, risk scoring, and automated decision-making; spearhead prototyping in LLMs, agentic workflows, and multi-modal systems; develop AI agent feedback collection and self-learning frameworks; optimize AI models for performance, latency, and cost; establish baseline benchmarks and evaluation metrics; define and execute the AI research roadmap; provide technical mentorship and code/math reviews.
Seniority
Principal, hands-on technical leader with strategic vision
