Machine Learning Engineer

What you'll bring:

• Ph.D. or master's degree in computer science, electrical engineering, physics, mathematics, statistics, or other quantitative discipline.
• In-depth knowledge of machine learning tools and techniques such as neural networks, decision trees, support vector machines, genetic algorithms, logistic regression, clustering, variable selection, etc.
• Knowledge of some combination of C/C++, Python, R, or other general-purpose programming languages.
• Experience working with large, real-word data sets.
• Unix/Linux command line.
• Familiarity with relational database design and concepts.

What we'd prefer to see:

• Research and publication history in peer-reviewed scientific or technical journals and conferences.
• Previous experience doing predictive analytics in banking and finance, healthcare, gaming, telco, marketing, or other industry.
• Experience with generative AI, Large Language Models (LLMs), deep neural nets, and reinforcement learning.

Impact You'll Make:

Impact you'll make:

• You'll design and implement machine learning algorithms for real-world predictive analytics in a production environment
• You'll leverage our in-house 'Big Data' to build predictive models on computing clusters with hundreds of nodes and massive volumes of data
• You'll design and write programs for data extraction, segmentation and statistical analysis on large population datasets using proprietary parallel computing platforms.
• You'll deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You'll provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.