
Software Engineer, AI Data
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Switzerland.
• Identify new audio data sources and develop dependable pipelines to integrate them into training datasets.
• Design 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 assist in the development of next-generation models.
• Take ownership of engineering projects from problem identification through to implementation and ongoing enhancement.
• Create data pipelines that facilitate model training and the development of next-generation AI products.
• Integrate engineering, infrastructure, and research efforts to construct high-quality datasets at petabyte scale while minimizing costs.
• A degree in Computer Science or a related field, or equivalent practical experience.
• Over 5 years of professional software engineering experience, with a solid foundation in backend development.
• Expertise in Python and Bash within Linux environments.
• Experience in building and managing production systems, preferably involving data pipelines or large-scale data processing.
• Strong problem-solving abilities, a proactive attitude, and the capacity to work independently in uncertain situations.
• Submission of portfolio and LinkedIn links is required with the application.
• A vibrant environment where your contributions influence the company and its products.
• A team that prioritizes innovation, intuition, and motivation.
• Autonomy that encourages focus and creative thinking.
• The chance to make a meaningful impact in a transformative industry.
• Competitive salary, an inclusive atmosphere, and a dedication to an outstanding asynchronous work culture.
• The opportunity to work on a product that transforms lives, especially for individuals with learning differences such as dyslexia and ADD.
• An active position at the crossroads of artificial intelligence and audio – a fast-evolving technological field.
• Bonus opportunities.
• Stock options.
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