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

• Design and develop machine learning models and algorithms for applied AI projects in the fintech domain.
• Collaborate with cross-functional teams to integrate AI/ML capabilities into existing systems and products.
• Research and implement cutting-edge technologies such as large language models (LLMs) and retrieval-augmented generation (RAG).
• Develop and maintain scalable data pipelines and infrastructure to support AI initiatives.
• Provide technical leadership and mentorship to junior engineers in the team.
• Evaluate and optimize model performance, ensuring high accuracy and efficiency in production environments.
• Stay updated with the latest advancements in AI/ML, and apply best practices to enhance project outcomes.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience in machine learning and artificial intelligence, with a focus on applied projects.
• Strong programming skills in Python, with experience in relevant ML libraries and frameworks.
• Familiarity with large language models (LLMs) and retrieval-augmented generation (RAG) techniques.
• Experience in the fintech industry, with an understanding of financial products and services.
• Demonstrated ability to work on complex problems and deliver innovative solutions.
• Excellent communication skills and ability to work collaboratively in a team environment.

Benefits

• Equity ownership is a meaningful component of the total compensation package
• Eligibility for a full benefits program, including:
  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Flexible paid time off (PTO)

Apply to this job