Software Engineer, AI Data

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

📋 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 closely with AI Scientists to refine training datasets and aid in the development of next-generation models.

• Take ownership of engineering projects from identifying problems to implementation and ongoing improvements.

⛳️ Requirements

• 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.

• Expertise in Python and Bash within Linux environments.

• Proven experience in building and managing production systems, preferably involving data pipelines or large-scale data processing.

• Strong problem-solving abilities, proactive initiative, and the capability to work independently in uncertain settings.

• 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).

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

🏝️ Benefits

• A vibrant environment where your contributions influence the company and its products.

• A team that prioritizes innovation, intuition, and motivation.

• Independence that encourages focus and creativity.

• The chance to make a meaningful impact in a revolutionary industry.

• Competitive salary, a friendly atmosphere, and a dedication to 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 more.

• A proactive role at the forefront of artificial intelligence and audio – a swiftly advancing tech landscape.

• Bonus.

• Stock.