Bree

Machine Learning Engineer

• Design, train, and deploy scalable machine learning models for critical FinTech applications, including credit risk assessment, fraud detection, and personalized financial recommendations, using frameworks like PyTorch and LightGBM.
• Architect ML pipelines integrating with backend systems to process high-throughput data streams with low-latency inference for real-time decision-making.
• Leverage AI tools to automate experimentation, hyperparameter tuning, and test-driven ML development, accelerating the delivery of robust, production-ready models.
• Support the full ML lifecycle, including feature engineering, model evaluation, A/B testing, monitoring for drift, and seamless scaling to support explosive user growth while ensuring compliance with financial regulations.
• Experiment with advanced techniques in deep learning and reinforcement learning to push the boundaries of what's possible in consumer finance.

Machine Learning Engineering, Intern

Content Creator

• Shoot 3 UGC-style ad concepts per week for paid campaigns
• Film short-form video content for Meta, TikTok, and other performance channels
• Create and experiment with organic content for Bree’s Instagram and TikTok
• Research competitor ads, viral formats, and emerging content trends
• Develop and pitch new creative concepts and storytelling formats
• Collaborate with the Creative Strategy team to test hooks, formats, and messaging
• Quickly film and deliver raw footage or lightly edited cuts
• Help build and evolve Bree’s organic social presence