Design and build systems that solve difficult problems involving text, time series and other complex data sources

Analyze unique data to build novel prediction models

Write, test and maintain production-quality C++ and Python code


Quantitative Systems


Basic Qualifications:

Strong Computer Science fundamentals (algorithms, data structures)

Solid background in machine learning and/or natural language processing

Industry experience programming in C++, Python, Java or any OOP language

Strong communications and interpersonal skills

Preferred Qualifications

3+ years of professional experience in Machine Learning or Artificial Intelligence, or equivalent PhD level educational experience

Strong mathematical background (probability and statistics)

Graduate degree (MS or PhD) in Computer Science with specialization in speech recognition, natural language processing, machine translation, time series analysis, signal processing, or machine learning.

Experience with building machine learning models using time series data

Industry experience developing latency sensitive applications

Working knowledge of Kafka, Spark

Level of experience (years):

Mid Career (2+ years of experience)

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