
Software Engineer, AI Data
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in California.
• 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 optimizing data quality, throughput, and cost-efficiency.
• Work collaboratively with AI Scientists to refine training datasets and facilitate the development of next-generation models.
• Take ownership of engineering projects from initial problem identification through to implementation and ongoing improvement.
• 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.
• Skilled in Python and Bash within Linux environments.
• Experience in building and managing production systems, particularly those involving data pipelines or large-scale data processing.
• Excellent problem-solving abilities, proactive initiative, and capacity to work independently in uncertain environments.
• 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.
• Bonus
• Equity
• A dynamic environment where your contributions influence the company and its products
• A team that prioritizes innovation, intuition, and ambition
• Autonomy, promoting focus and creativity
• The chance to make a significant impact in a groundbreaking industry
• Competitive compensation
• A welcoming atmosphere
• An outstanding asynchronous work culture
• The opportunity to work on a product that transforms lives, especially for individuals with learning differences such as dyslexia, ADD, and others
• An active role at the intersection of artificial intelligence and audio – a swiftly evolving technology domain
AIT
Imaginary Cloud
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