
Software Engineer, AI Data
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in United States.
• 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.
• Work collaboratively with AI Scientists to refine training datasets and aid in the development of next-generation models.
• Assume responsibility for engineering projects, from problem identification to execution and ongoing enhancement.
• Create high-quality datasets at a petabyte scale with minimal costs by merging engineering, infrastructure, and research expertise.
• A degree in Computer Science or a related discipline, or equivalent hands-on experience.
• Over 5 years of professional software engineering experience, with a solid foundation in backend development.
• Proficient in Python and Bash within Linux environments.
• Experience in building and maintaining production systems, preferably with data pipelines or large-scale data processing.
• Strong problem-solving abilities, initiative, and the capacity to work independently in uncertain environments.
• Links to a portfolio and LinkedIn profile.
• Nice to have: Experience with web crawlers, data acquisition, or distributed data-processing systems.
• Nice to have: Familiarity with cloud infrastructure and Infrastructure as Code, particularly with GCP and Terraform.
• Nice to have: Understanding of ML training data, dataset quality, or audio processing.
• A vibrant environment where your contributions can shape the company and its offerings.
• A team that prioritizes innovation, intuition, and motivation.
• Autonomy that encourages focus and creativity.
• The chance to make a substantial impact in a transformative industry.
• Competitive compensation, a friendly atmosphere, and a dedication to an outstanding asynchronous work culture.
• The opportunity to work on a product that positively affects lives, especially for individuals with learning differences such as dyslexia and ADD.
• An active position at the convergence of artificial intelligence and audio, a swiftly evolving technological field.
• Bonus.
• Equity.
• Asynchronous work culture.
AIT
Imaginary Cloud
Codat
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