Software Engineer, AI Data

This is a fully remote position, open to applicants in Arizona.

📋 Description

• Identify new audio data sources 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 facilitate the development of next-generation models.

• Take ownership of engineering projects from the initial problem identification to implementation and ongoing enhancements.

• Create data pipelines that support model training and the development of next-generation AI products.

⛳️ Requirements

• A degree in Computer Science or a related discipline, or equivalent practical experience.

• Over 5 years of professional experience in software engineering, with a solid foundation in backend development.

• Proficient 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.

• Experience with cloud infrastructure and Infrastructure as Code, particularly with GCP and Terraform.

• Knowledge of ML training data, dataset quality, or audio processing.

🏝️ Benefits

• 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 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 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.