
Software Engineer, AI Data
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Washington.
• Identify new audio data sources and establish dependable pipelines for integrating them into training datasets.
• Develop and enhance large-scale data-processing systems, focusing on data quality, throughput, and cost efficiency.
• Work collaboratively with AI Scientists to refine training datasets and contribute to the development of next-generation models.
• Take ownership of engineering projects from initial problem identification to implementation and ongoing enhancements.
• Create high-quality datasets at petabyte scale while minimizing costs through a combination of engineering, infrastructure, and research.
• 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.
• Proficiency in Python and Bash within Linux environments.
• Experience in building and maintaining production systems, preferably those involving data pipelines or large-scale data processing.
• Strong problem-solving abilities, initiative, and capacity to work independently in uncertain environments.
• Inclusion of links to a portfolio and LinkedIn profile with the application.
• A dynamic environment where your contributions shape the company and its products.
• A team that values innovation, intuition, and drive.
• Autonomy, fostering focus and creativity.
• The opportunity to have 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 changes lives, particularly for those 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.
AIT
Imaginary Cloud
Codat
Get handpicked remote jobs straight to your inbox weekly.