Software Engineer, AI Data

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

📋 Description

• Identify new sources of audio data and establish reliable pipelines for integrating them into training datasets.

• Develop and enhance large-scale data-processing systems, focusing on data quality, efficiency, and cost-effectiveness.

• Work closely with AI Scientists to refine training datasets and aid in the creation of advanced models.

• Assume responsibility for engineering projects from initial problem identification to implementation and ongoing improvement.

⛳️ Requirements

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

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

• Expertise in Python and Bash within Linux environments.

• Experience in building and managing production systems, particularly involving data pipelines or large-scale data processing.

• Strong problem-solving abilities, initiative, and capacity to work independently in uncertain situations.

• Experience with web crawlers, data acquisition, or distributed data-processing systems (preferred).

• Familiarity with cloud infrastructure and Infrastructure as Code, especially GCP and Terraform (preferred).

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

🏝️ 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 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.

• Stock.