
Software Engineer, AI Data
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Ireland.
• 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-effectiveness.
• Work closely with AI Scientists to refine training datasets and support the development of next-generation models.
• Take responsibility for engineering projects from problem identification through to implementation and ongoing enhancement.
• A degree in Computer Science or a related discipline, or equivalent hands-on experience.
• Over 5 years of professional software engineering experience, with a strong foundation in backend development.
• Expertise in Python and Bash within Linux environments.
• Experience in building and maintaining production systems, preferably with a focus on data pipelines or large-scale data processing.
• Excellent problem-solving abilities, initiative, and the capacity to operate independently in uncertain environments.
• Familiarity with web crawlers, data acquisition, or distributed data-processing systems is a plus.
• Experience with cloud infrastructure and Infrastructure as Code, particularly with GCP and Terraform, is advantageous.
• Understanding of ML training data, dataset quality, or audio processing is a plus.
• A vibrant environment where your contributions influence the company and its offerings.
• 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 pay, a friendly atmosphere, and a commitment to an outstanding asynchronous work culture.
• The opportunity to work on a product that transforms lives, particularly for individuals with learning differences like dyslexia, ADD, and more.
• An active position at the crossroads of artificial intelligence and audio technology – a swiftly advancing field.
• Bonus opportunities.
• Stock options.
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