Lead Machine Learning Engineer

What you'll do

• Design, build, and deliver machine learning models and components to solve real-world business problems.
• Inform infrastructure decisions regarding model selection, data features, training, and hyperparameter tuning.
• Write and test application code to automate tests and deployments for ML models.
• Retrain, maintain, and monitor machine learning models in production environments.
• Build and manage cloud-based architectures and platforms to deliver optimized models at scale.
• Construct optimized data pipelines to feed machine learning models.
• Implement continuous integration and continuous deployment best practices for model deployment.
• Ensure all code and models follow best practices for Responsible and Explainable AI.

What we're looking for

• At least 6 years of experience designing and building data-intensive solutions using distributed computing.
• At least 4 years of experience programming with Python, Scala, or Java.
• At least 2 years of experience building, scaling, and optimizing ML systems.
• Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field (preferred).
• 3+ years of experience building production-ready data pipelines that feed ML models (preferred).
• 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow (preferred).
• 2+ years of experience developing performant, resilient, and maintainable code (preferred).