Senior Applied Machine Learning Engineer

• Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
• Enhance models by incorporating innovative features every quarter and leveraging the latest industry research
• Monitor feature and model health, and communicate changes in model decisions
• Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
• Lead by example to foster operational excellence and transformative change
• Expand responsibilities as new products emerge

• Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
• 4+ years of machine learning experience with strong software engineering skills
• Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
• Advanced Python programming, SQL, and data manipulation skills
• Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
• Excellent communication and collaboration abilities
• A passion for continuous learning and personal growth in a dynamic work environment

Experience with Risk modeling for financial use cases is a bonus

equity and benefits