Machine Learning Engineer, Underwriting

We're looking for a Machine Learning Engineer to build and scale high-impact, world-class ML systems. You're passionate about deploying AI solutions, optimizing performance, and driving measurable results. Your work will power critical decisions and shape the future of our technology.

- Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.

- Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies.

- Optimize ML models using feature engineering, hyperparameter tuning, and scalable inference techniques.

- Work with structured and unstructured data, leveraging Pandas, NumPy, and SQL for efficient data manipulation.

- Apply machine learning design patterns to build modular, reusable, and production-ready models.

- Collaborate with data engineers to develop high-performance data pipelines for training and inference.

- Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and orchestration tools like Docker and Kubernetes.

- Maintain model performance by implementing continuous monitoring, bias detection, and explainability techniques.

- Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch.

- Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.

- Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for tracking experiments and automating workflows.

- Hands-on experience with data manipulation libraries (Pandas, NumPy) and databases (SQL, NoSQL).

- Knowledge of cloud-based ML deployment and infrastructure management.

- Ability to implement real-time and batch inference pipelines efficiently.

- Strong analytical and problem-solving skills to translate business needs into scalable ML solutions.

- Eagerness to work in a fast-paced environment and continuously refine ML processes for efficiency and accuracy.

💰Top of the market compensation for top performers

⚕️Comprehensive health, dental, and vision benefits plan

🖥 $1,500 annual learning & home-office stipend

🧘🏼 $1,000 annual wellness stipend

🍔 Monthly Lunch Stipend

🚗 Commuter Benefits

🚼Paid Parental leave

🏝20 annual PTO days + unlimited sick days

🚀 Quarterly Team Gatherings

☕ In Office Amenities