The Role
Early-career ML engineer who builds, evaluates, and improves LLM-powered financial applications. Design and implement ML models, test and analyze LLM failure modes, apply statistics and experimental design, collaborate with cross-functional teams, ensure responsible AI practices, document results, and support junior teammates.
Summary Generated by Built In
We are seeking an early-career engineer to join our team and play a vital role in developing and enhancing AI-powered applications for our financial services business. The ideal candidate will have a solid foundation in software development, hands-on experience with modern AI tools, and a keen interest in understanding the behavior of language models in real-world applications. As an Associate, you will have the opportunity to work closely with our experienced engineers and contribute to the growth and success of our innovative AI initiatives.
Responsibilities
- Collaborate 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.
- Work 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.
- Apply machine learning, statistics, and experimental design principles to reason about model behavior.
- 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.
- Provide support and mentorship to junior team members as needed.
- Bachelor's degree in a technical field (computer science, machine learning, mathematics, etc.) or equivalent practical experience.
- Experience contributing to production-level software development, internships, research, or substantial personal projects.
- Strong programming skills in Python, with a focus on writing clear, tested, and maintainable code.
- Hands-on experience with web services, data integration, testing, logging, and monitoring.
- Practical knowledge of building with LLMs and understanding common failure modes.
- Ability 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.
- Familiarity with agentic workflows, evaluation tools, and cloud deployment is a plus.
Compensation
About Us Company overview:
Built upon the foundation of innovative technology and exceptional talent, BGC is a pioneering global brokerage and financial technology company servicing the financial markets. We are agile and dynamic in our approach, delivering world-class products to our diverse customer base daily. Our Financial Services business provides a full range of trade execution and broker-dealer services.
The benefit of BGC’s integrated platform is that it gives customers flexibility and choice in price discovery, execution, and processing of their transactions, through voice, hybrid, or fully electronic brokerage options. In addition, our BGC Trader and BGC Market Data platforms offer financial technology solutions, market data and analytics related to financial instruments and markets.
Agency Notice:
BGC Group & affiliates do not accept agency resumes. Please do not forward resumes to our job alias, employees or any other company location. BGC Group & affiliates are not responsible for any fees related to unsolicited resumes. Please contact the Recruitment function for additional details.
Skills Required
- Bachelor's degree in a technical field or equivalent practical experience
- Experience contributing to production-level software development, internships, research, or substantial personal projects
- Strong programming skills in Python, writing clear, tested, maintainable code
- Hands-on experience with web services, data integration, testing, logging, and monitoring
- Practical knowledge of building with large language models (LLMs) and understanding common failure modes
- Ability to test, evaluate, and improve LLM-powered applications
- Grounding in machine learning, statistics, and experimental design
- Excellent communication skills and a collaborative mindset
- Interest in applying AI responsibly in financial services
- Familiarity with agentic workflows, evaluation tools, and cloud deployment
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The Company
