Senior Staff Machine Learning Engineer

What you'll do

• Deliver ML models and software components to solve complex business problems in financial services.
• Lead the technical design and implementation of large-scale machine learning initiatives.
• Develop and review model and application code using Python, Scala, or C/C++.
• Optimize data pipelines to feed machine learning models efficiently.
• Leverage cloud-based architectures and technologies like Dask and RAPIDS to deliver models at scale.
• Ensure high availability and performance of production machine learning applications.
• Evangelize best practices across all aspects of the engineering and modeling lifecycles.
• Recruit, nurture, and retain top engineering talent.

What we're looking for

• At least 10 years of experience designing and building data-intensive solutions using distributed computing.
• At least 7 years of experience programming in C, C++, Python, or Scala.
• At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting.
• Master's Degree (preferred).
• 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models (preferred).
• 3+ years of experience using Dask, RAPIDS, or in High Performance Computing (preferred).
• 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) (preferred).