Lead Machine Learning Engineer

What you'll do

• Design, develop, and implement machine learning applications and systems at scale.
• Build and deliver ML models that solve real-world business problems for product teams.
• Inform infrastructure decisions based on model training, hyperparameter tuning, and feature selection.
• Write and test application code while automating testing and deployment processes.
• Construct optimized data pipelines to feed machine learning models.
• Retrain, maintain, and monitor machine learning models in production environments.
• Build and manage cloud-based architectures to deliver optimized ML models at scale.
• Ensure all code follows best practices for Responsible and Explainable AI.

What we're looking for

• Bachelor's degree required; Master's or Doctoral degrees in related fields are preferred.
• 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 machine learning systems.
• At least 3 years of experience with industry-recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
• At least 3 years of experience building production-ready data pipelines for machine learning models.
• At least 2 years of experience developing performant, resilient, and maintainable code.
• Work authorization that require immigration support from an employer.