Hiring: Associate, Machine Learning Engineer Company: Cantor Fitzgerald Location: New York, NY Job Posted Time: 2026-09-12 11:43:43 Employment Type: Hybrid Target Skills & Keywords : Agile, LLM, Machine Learning, Python About the job Required Skills: •Partner cross-functionally with a cross-functional team to build, evaluate, and improve AI-powered financial services applications. •Design and implement machine learning models and algorithms to solve complex business problems. •Interface directly with large language models (LLMs) and understand their behavior and potential failure modes. •Conduct testing and evaluation of LLM-powered applications, analyzing failures and defining success metrics. •Communicate effectively with product, engineering, and business partners to align on project goals. •Ensure responsible AI practices are followed, considering privacy, security, and appropriate automation. •Stay updated with the latest advancements in AI and machine learning technologies. •Document and present project progress and findings to stakeholders. Qualifications: •Bachelor's degree in a technical field or equivalent practical experience. •Strong programming skills in Python, with a focus on writing clear, tested, and maintainable code. •Applied hands-on capability in web services, data integration, testing, logging, and monitoring. •Practical knowledge of building with LLMs and understanding common failure modes. •Demonstrated capacity to test, evaluate, and improve LLM-powered applications. •Grounding in machine learning, statistics, and experimental design, with a knack for technical documentation. •Excellent communication skills and a collaborative mindset. •Interest in applying AI responsibly in financial services. •Operational familiarity with agentic workflows, evaluation tools, and cloud deployment is a plus. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!