Staff Machine Learning Engineer

Colorado

Machine Learning

Permanent

Our client, a leading Fintech company, are hiring a Staff Machine Learning Engineer to join their Applied AI team remotely. The successful candidate will be responsible for developing and deploying AI-powered multi-agent systems, human-in-the-loop co-pilots, specialized financial models and seamless legacy system integrations to automate processes, improve workflows and optimize existing financial technologies.

Responsibilities

Design and fine-tune both open source and proprietary large language models (LLMs) for tasks including summarization, reasoning, planning and question answering.
Build and enhance advanced Retrieval Augmented Generation (RAG) pipelines featuring embedding fine-tuning, hybrid search, reranking and knowledge graph integration.
Develop autonomous AI agent workflows that support proactive and adaptive decision-making.
Utilize reinforcement learning methods (such as PPO, DPO, GRPO) to continuously improve model performance.
Create evaluation frameworks and define metrics to rigorously assess model effectiveness.
Deploy AI models into production environments with a focus on low latency, reliability and scalability.
Work closely with product and engineering teams to deliver comprehensive AI-powered financial solutions.

Skillset

Master’s or Bachelor’s degree with at least 5 years of professional experience in applied AI/ML engineering.
Demonstrated success in delivering generative AI products utilizing LLMs and autonomous agent workflows.
Practical expertise with LLM fine-tuning methods (such as LoRA), inference frameworks (including vLLM) and sophisticated RAG pipelines.
In-depth understanding of reinforcement learning fine-tuning techniques and associated frameworks.
Early-stage startup experience is an advantage.

Benefits