Machine Learning Engineer - Local to San Francisco Only

Job Title: Machine Learning Engineer Location: San Francisco, CA (Hybrid – 3 Days Onsite, 2 Days Remote) Duration: 6+ Months contract Interview Process: Video Interview About the Role The Trading Enablement Team is a senior engineering group focused on solving high-impact technical challenges and delivering strategic solutions that support global investment operations. We are seeking an experienced Machine Learning Engineer who can work in ambiguous environments, take ownership of complex technical issues, and contribute to mission-critical trading and portfolio management platforms. Required Skills & Experience • 1–2 years of experience in Asset Management or Financial Services • Strong Python programming skills, including: • Pandas • NumPy • FastAPI or Flask • Experience with Machine Learning algorithms and techniques • Experience with ML frameworks: • TensorFlow • PyTorch • Scikit-learn • Strong data engineering and feature engineering experience • Experience working with AWS cloud services • Strong SQL and database expertise • Knowledge of GraphQL • Experience building real-time applications supporting: • Trading desks • Portfolio management systems • Experience with Fixed Income desks such as: • Structured products • Rates • Corporate bonds • Municipal bonds • Experience with: • AWS EKS • API Gateway • Lambda • Redis • PostgreSQL • S3 • Experience integrating with market data providers such as Bloomberg or TradeWeb • Experience building ETL pipelines • Excellent communication and stakeholder coordination skills Nice to Have • Experience with JupyterLab • Experience with Apache Airflow or other workflow orchestration tools • Exposure to DevOps practices • Experience with Equity or Fixed Income trading platforms • Strong curiosity and ability to prototype new data science technologies