Job Description
You will join our Applied Research team, working at the intersection of large-scale AI systems and the financial sector. Our goal is to design, fine-tune, and optimize foundation models—transformers, LLMs, and multi-modal architectures—to address complex challenges to Help Everyone Home. This role combines cutting-edge ML research with hands-on implementation in production environments, in close collaboration with ML engineers, data engineers, and financial domain experts.
About the role
Analyze and process large-scale structured, unstructured, and multi-modal financial datasets.
Fine-tune, adapt, evaluate, and optimize foundation models (LLMs, multi-modal transformers) for financial applications.
Design experiments, evaluate models using statistical metrics and domain-specific benchmarks, and implement continuous improvement methods.
Develop and integrate retrieval-augmented generation (RAG) pipelines ...
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