Staff ML Engineer, FinTech (Remote)
Staff ML Engineer, Applied AI Remote or on-site in Boulder, CO / Charlotte, NC / New York, NY Position Overview We are seeking a highly skilled Staff Machine Learning Engineer specialized in Applied AI to lead innovative projects at the intersection of AI/ML and Fintech. The ideal candidate will drive the development and implementation of advanced machine learning models and solutions, enhancing our product offerings and improving customer experiences. Key Responsibilities β’ Design and develop machine learning models and algorithms for applied AI projects in the fintech domain. β’ Collaborate with cross-functional teams to integrate AI/ML capabilities into existing systems and products. β’ Research and implement cutting-edge technologies such as large language models (LLMs) and retrieval-augmented generation (RAG). β’ Develop and maintain scalable data pipelines and infrastructure to support AI initiatives. β’ Provide technical leadership and mentorship to junior engineers in the team. β’ Evaluate and optimize model performance, ensuring high accuracy and efficiency in production environments. β’ Stay updated with the latest advancements in AI/ML, and apply best practices to enhance project outcomes. Qualifications β’ Bachelor's or Master's degree in Computer Science, Data Science, or a related field. β’ Proven experience in machine learning and artificial intelligence, with a focus on applied projects. β’ Strong programming skills in Python, with experience in relevant ML libraries and frameworks. β’ Familiarity with large language models (LLMs) and retrieval-augmented generation (RAG) techniques. β’ Experience in the fintech industry, with an understanding of financial products and services. β’ Demonstrated ability to work on complex problems and deliver innovative solutions. β’ Excellent communication skills and ability to work collaboratively in a team environment. Benefits β’ Equity ownership is a meaningful component of the total compensation package β’ Eligibility for a full benefits program, including: β’ Comprehensive health, dental, and vision coverage β’ Retirement benefits β’ Flexible paid time off (PTO)