Machine Learning Engineer - Digital Intelligence
Core
Research and prototype next-generation architectures for structured and unstructured data, developing novel pre-training objectives tailored to financial event sequences and heterogeneous profile data.
Role type
Senior IC machine learning engineer (LLMs/Transformers)
Builds
Production-grade systems for large language modeling, optimization, and interpretability within financial services
Domain
Financial services / Large Language Models / Deep Learning
Deliverable
production ML models
Required skills
LLMs and Transformers expertise, attention mechanisms, positional encodings (RoPE), multimodal data handling, PyTorch at scale, distributed training (FSDP, DeepSpeed), memory optimization, foundation model training from scratch, token and vocabulary design, software engineering for scalable systems, financial data experience, recommendation systems
Preferred skills
publication record in top AI/ML venues, serving infrastructure optimization, post-training LLMs, network optimization algorithms, interpretability/steering techniques, large-scale compute infrastructure, shipping real-world products
Technologies
PyTorch, FSDP, DeepSpeed, Transformers, RoPE
Responsibilities
Research and prototype next-generation architectures for structured and unstructured data, develop novel pre-training objectives for financial event sequences, implement research ideas in production-quality code, mentor engineers on ML best practices, optimize training throughput for large data sources, collaborate with teams to design solutions for product use cases
Seniority
Senior, hands-on IC
