StreetID · 1 day ago
Machine Learning Engineer
NYC Metro Area
Full-time
Onsite
Entry, Mid Level
1+ years expThe Financial Career Matchmaking Website is seeking a highly skilled AI / Machine Learning Engineer to join their dynamic quantitative research and trading team at a leading hedge fund. The role involves developing and deploying machine learning models to enhance investment decision-making and improve operational workflows.
Financial ServicesHuman ResourcesInternetPayments
Hiring Manager
Jesse Marrus
Responsibilities
Develop, fine-tune, and deploy Large Language Models (LLMs) to extract insights from financial text data (e.g., earnings calls, broker reports, regulatory filings, internal research)
Collaborate with researchers and PMs to identify AI use cases that can improve investment strategies and operational workflows
Design and implement scalable ML pipelines in Python, ensuring reproducibility and robustness across datasets and environments
Integrate LLM outputs with structured financial data to support portfolio construction, signal generation, and risk management workflows
Own model evaluation, optimization, and monitoring, ensuring that deployed systems are stable, interpretable, and production-ready
Contribute to the selection and experimentation of open-source models and fine-tuning strategies (e.g., prompt engineering, supervised fine-tuning, RAG pipelines)
Stay current on advances in NLP/ML research and assess their practical impact on the fund’s data and modeling infrastructure
Qualification
Required
Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or a related field
1–5 years of experience building and deploying machine learning models in a production environment, preferably in financial services or high-impact domains
Strong Python skills, including use of pandas, NumPy, scikit-learn, and PyTorch or TensorFlow
Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Falcon), including fine-tuning, inference, prompt design, and embedding techniques
Experience working with APIs and unstructured data (e.g., natural language text, PDFs, HTML)
Familiarity with ML ops concepts (e.g., model versioning, feature stores, deployment tools)
Company
StreetID
Financial Career Matchmaking Website
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Jesse Marrus
Founder and President
Company data provided by crunchbase