Software Engineer (Machine Learning)

About the Role

Key Responsibilities

• Research, design, develop, and test software for massive scientific data and prediction problems.
• Have industry experience working on a range of ranking, classification, and optimization problems.
• Work on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, regression, and rules-based models.
• Suggest, collect, analyze and synthesize requirements and bottlenecks in technology, systems, and tools.
• Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage larger data sets, and explore state-of-the-art deep learning techniques.
• Receive general instruction from supervisor, code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).

Requirements

• Master's degree (or foreign degree equivalent) in Computer Science, Engineering, or related field.
• Completion of a graduate-level course, research project, or internship involving C++ and Python development.
• Experience with real-time signal processing algorithm development.
• Experience training and testing machine learning models.
• Knowledge of scientific computing and statistical analysis.
• Experience building data processing pipelines in C++ and Python.
• Experience with low-level software and firmware development.
• Skills in debugging and profiling of embedded systems.

Qualifications

• Master's degree (or foreign degree equivalent) in Computer Science, Engineering, or related field.