
Software Engineer – AI Data
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Virginia.
• 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 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 support next-generation AI products.
• Merge engineering, infrastructure, and research to produce high-quality datasets at a petabyte scale while minimizing costs.
• A degree in Computer Science or a related discipline, or equivalent hands-on experience.
• Over 5 years of professional software engineering experience, demonstrating strong backend development skills.
• Proficient in Python and Bash within Linux environments.
• Experience in building and maintaining production systems, preferably involving data pipelines or large-scale data processing.
• Strong analytical and problem-solving abilities, with the initiative and capacity to work independently in uncertain settings.
• Familiarity with web crawlers, data acquisition, or distributed data-processing systems.
• Knowledge of cloud infrastructure and Infrastructure as Code, especially with GCP and Terraform.
• Understanding of ML training data, dataset quality, or audio processing.
• Portfolio and LinkedIn links are requested when submitting your application.
• A vibrant environment where your contributions influence the company and its products.
• A team that prioritizes innovation, intuition, and determination.
• Autonomy that encourages focus and creativity.
• The chance to make a significant impact in a transformative industry.
• Competitive compensation packages.
• A friendly and inclusive atmosphere.
• An outstanding asynchronous work culture.
• The opportunity to work on a product that makes a difference in lives, particularly for individuals with learning differences such as dyslexia, ADD, and more.
• An active role at the crossroads of artificial intelligence and audio – a rapidly developing tech field.
• Bonus opportunities.
• Equity options.
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