Software Engineer

October 25

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innovation • internet • technology • advertising • media

10,000+

💰 $4.8M Series B on 1995-11

Description

• Work with data scientists and product teams to understand and address end to end requirements for the purpose of prototype development as well as production software development; • Build large scale distributed machine learning architecture on public and private clouds; • Perform large scale machine learning operations including feature engineering, model tuning, model deployment and performance monitoring; • Utilizes experience with distributed file systems, database architecture, and data modeling to organize and process large data sets; • Build streaming platform by leveraging latest streaming technologies to support research and production needs; • Identify potential performance bottlenecks and scalability issues to justify or critique the design of new algorithms; • Work with modern development methodology such as Agile, Scrum, Test Driven Development and SDLC

Requirements

• M.S. Computer Science or Engineering or B.S. of related fields; • Ability to work in a fast paced, intellectually challenging and highly technical environment; • Strong programming skills in Java/Python/Spark Scala/SQL; • Good knowledge and experience with big data technologies including Hadoop/Hive/Spark/Flink is highly desirable; • Good knowledge of machine learning including feature engineering, decision trees, MLPs, logistic regression, transformer (BERT/GPT) is highly desirable; • Experience with building robust, scalable, distributed services; • Experience with massively scalable messaging and distributed real-time processing; • Experience with AWS and AWS SageMaker is highly desirable; • Experience in all aspects of software development including architecture and design, implementation and production support; • Knowledge of CI/CD and DevOps tools and processes; • Excellent written and verbal communication skills