Software Engineer, AI Data

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

📋 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 assist in the development of next-generation models.

• Take charge of engineering projects from problem identification through implementation and ongoing enhancement.

⛳️ Requirements

• Bachelor's degree in Computer Science or a related discipline, or equivalent hands-on experience.

• Over 5 years of professional experience in software engineering, 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 extensive data processing.

• Strong analytical skills, initiative, and the ability to operate independently in uncertain situations.

• Background in web crawling, data acquisition, or distributed data-processing systems.

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

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

🏝️ Benefits

• A vibrant environment where your input influences the company and its offerings.

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

• Freedom to foster concentration and creativity.

• The chance to make a significant impact in a groundbreaking industry.

• Competitive salary, a friendly atmosphere, and a dedication to an outstanding asynchronous work culture.

• The opportunity to contribute to a product that improves lives, especially for individuals with learning differences such as dyslexia, ADD, and others.

• An active position at the crossroads of artificial intelligence and audio – a swiftly evolving technological sector.

• Bonus.

• Stock.