
Software Engineer, AI Data
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Wisconsin.
• Identify new sources of audio data 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.
• Collaborate closely with AI Scientists to refine training datasets and assist in the creation of next-generation models.
• Take ownership of engineering projects from problem identification to implementation and ongoing enhancement.
• Create data pipelines that support model training and innovative AI products.
• Merge engineering, infrastructure, and research efforts to construct high-quality datasets at petabyte scale while maintaining low costs.
• 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.
• Expertise in Python and Bash within Linux environments.
• Experience in building and managing production systems, preferably those involving data pipelines or large-scale data processing.
• Strong problem-solving abilities, initiative, and the capacity to work independently in uncertain environments.
• Familiarity with web crawlers, data acquisition, or distributed data-processing systems (preferred).
• Experience with cloud infrastructure and Infrastructure as Code, especially GCP and Terraform (preferred).
• Understanding of ML training data, dataset quality, or audio processing (preferred).
• A dynamic environment where your contributions shape the company and its products.
• A team that values innovation, intuition, and drive.
• Autonomy, promoting focus and creativity.
• An opportunity to make a significant impact in a revolutionary industry.
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
• The privilege of working on a product that transforms lives, especially for individuals with learning differences like dyslexia, ADD, and more.
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.
• Bonus.
• Equity.
• 100% distributed setting.
• Asynchronous work culture.
AIT
Imaginary Cloud
Codat
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