Software Engineer, AI Data

Posted Oct 20

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Identify new sources of audio data and establish robust pipelines to integrate them into training datasets.

• Develop and enhance large-scale data-processing systems, focusing on data quality, throughput, and cost-effectiveness.

• Work closely with AI Scientists to refine training datasets and assist in the development of next-generation models.

• Take charge of engineering projects from identifying problems to implementation and ongoing enhancements.

• Create data pipelines that support model training and next-generation AI products.

• Integrate engineering, infrastructure, and research to construct high-quality datasets at a petabyte scale while minimizing costs.


⛳️ Requirements

• A degree in Computer Science or a related discipline, or equivalent practical experience.

• Over 5 years of professional software engineering experience, with a solid foundation in backend development.

• Proficiency in Python and Bash within Linux environments.

• Experience in building and maintaining production systems, particularly those involving data pipelines or extensive data processing.

• Strong analytical skills, a proactive approach, and the capacity to work independently in uncertain environments.

• Include portfolio and LinkedIn links with the application.


🏝️ Benefits

• A dynamic work environment where your contributions influence the company and its products.

• A team that prioritizes innovation, intuition, and ambition.

• Autonomy that encourages focus and creativity.

• The chance to make a meaningful impact in a groundbreaking industry.

• Competitive salary packages.

• A welcoming workplace culture.

• An outstanding asynchronous work environment.

• The privilege of contributing to a product that transforms lives, especially for those with learning differences such as dyslexia, ADD, and more.

• An engaging position at the crossroads of artificial intelligence and audio.

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