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About the role
Role Overview: You will be working with a FAANG Company's Audio Research Lab to develop robust data tooling and infrastructure. Your responsibilities will include implementing and enhancing data management and augmentation solutions, ensuring code quality through best practices, and collaborating with team members based on end-user feedback. Additionally, you may be involved in implementing and optimizing ML tooling. Key Responsibilities: - Proficiency in Python programming - Strong understanding of software engineering practices such as version control, continuous integration, testing, code reviews, and documentation - Familiarity with database and data storage systems and interaction using Python - Experience with Python data processing libraries (numpy, scipy, pandas, etc.) - Understanding of data pipelines and handling large multimedia datasets, especially audio data - Experience in Hack or PHP - Knowledge of JavaScript and React - Understanding of machine learning and AI concepts - Experience in multimedia signal processing - Familiarity with implementation and optimization of tooling for ML training and evaluation Qualifications Required: - Proficiency in Python programming - Strong understanding of software engineering practices - Familiarity with database and data storage systems and interaction using Python - Experience with Python data processing libraries - Understanding of data pipelines and handling large multimedia datasets - Experience in Hack or PHP - Knowledge of JavaScript and React - Understanding of machine learning and AI concepts - Experience in multimedia signal processing - Familiarity with implementation and optimization of tooling for ML training and evaluation Location: Remote. (Note: No additional details about the company were provided in the job description) Role Overview: You will be working with a FAANG Company's Audio Research Lab to develop robust data tooling and infrastructure. Your responsibilities will include implementing and enhancing data management and augmentation solutions, ensuring code quality through best practices, and collaborating with team members based on end-user feedback. Additionally, you may be involved in implementing and optimizing ML tooling. Key Responsibilities: - Proficiency in Python programming - Strong understanding of software engineering practices such as version control, continuous integration, testing, code reviews, and documentation - Familiarity with database and data storage systems and interaction using Python - Experience with Python data processing libraries (numpy, scipy, pandas, etc.) - Understanding of data pipelines and handling large multimedia datasets, especially audio data - Experience in Hack or PHP - Knowledge of JavaScript and React - Understanding of machine learning and AI concepts - Experience in multimedia signal processing - Familiarity with implementation and optimization of tooling for ML training and evaluation Qualifications Required: - Proficiency in Python programming - Strong understanding of software engineering practices - Familiarity with database and data storage systems and interaction using Python - Experience with Python data processing libraries - Understanding of data pipelines and handling large multimedia datasets - Experience in Hack or PHP - Knowledge of JavaScript and React - Understanding of machine learning and AI concepts - Experience in multimedia signal processing - Familiarity with implementation and optimization of tooling for ML training and evaluation Location: Remote. (Note: No additional details about the company were provided in the job description)
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