Senior Software Engineer II developing machine learning products for Narvar's platform, using consumer data for various applications. Collaborating across teams to design algorithms impacting millions globally.
Responsibilities
Design and deploy machine learning algorithms for use cases spanning e-commerce, consumer trends, markets, logistics, and new products
Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc
Work with large unstructured data
Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work
Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team use
Provide thought leadership to a team through high quality write-ups, reviews, and a strong vision grounded in practical experience and a wider industry view
Requirements
Strong machine learning skills.
Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
Data Engineering skills and large data experience. You should have dealt with large amounts of data (TB) in a production setting, built world class data pipelines using cutting edge tools (e.g. Spark).
10+ years of hands-on experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering etc)
MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience
Strong software engineering and coding skills with the ability to write production quality code
Strong understanding of probability & statistics, machine learning, and algorithms
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