Senior Machine Learning Engineer
Core
Design, build, and operate Generative AI systems to improve investment processes and outcomes.
Role type
Senior Machine Learning Engineer (Generative AI)
Builds
Generative AI and LLM-based capabilities including multi-agent systems, semantic search, summarization, and document understanding pipelines.
Domain
Financial services / Generative AI
Deliverable
production ML models
Required skills
Python, large-scale production system design, system design principles, distributed systems, cloud-native development, MLOps, integrating ML models into production applications
Preferred skills
Generative AI and LLM APIs, retrieval systems, agent-based architectures, ML lifecycle tooling, model evaluation and monitoring, PyTorch, HuggingFace
Technologies
PyTorch, HuggingFace
Responsibilities
Design and implement scalable production-quality systems with ML and Generative AI components; take end-to-end ownership of technical projects; collaborate with cross-functional partners to translate ambiguous problems into technical solutions; maintain high code quality, testing, and reliability; contribute to architectural decisions; apply engineering judgment when integrating ML models into distributed systems
Seniority
Senior, hands-on IC
