Software Engineer, AI Data

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

📋 Description

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

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

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

• Manage engineering projects from problem identification through to implementation and ongoing improvement.

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

• Merge engineering, infrastructure, and research to construct high-quality datasets at a petabyte scale while maintaining low costs.

⛳️ Requirements

• A degree in Computer Science or a related area, or equivalent hands-on experience.

• Over 5 years of professional software engineering experience with robust backend development fundamentals.

• Expertise in Python and Bash within Linux environments.

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

• Excellent problem-solving abilities, initiative, and the capacity to work independently in uncertain situations.

• A portfolio and LinkedIn profile links should be included with the application.

🏝️ Benefits

• A vibrant environment where your input influences the company and its products.

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

• Independence that encourages focus and creativity.

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

• Competitive salary, a friendly atmosphere, and a commitment to outstanding asynchronous work culture.

• The opportunity to work on a product that transforms lives, especially for individuals with learning differences such as dyslexia, ADD, and more.

• An active position at the crossroads of artificial intelligence and audio – a swiftly advancing technological field.

• A completely remote work setup with no physical office.

• A culture of asynchronous work.