Software Engineer, AI Data

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

📋 Description

• Identify new sources of audio data and establish dependable pipelines for integrating 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 aid in the development of next-generation models.

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

⛳️ 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.

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

• Strong analytical skills, initiative, and the ability to work autonomously in unclear situations.

• Background in web crawlers, 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 dynamic work environment where your contributions directly influence the company and its products.

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

• Freedom to promote focus and creativity.

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

• Competitive salary, a welcoming work culture, and a commitment to outstanding asynchronous work practices.

• The opportunity to work on a product that transforms lives, especially for individuals with learning differences such as dyslexia, ADD, and more.

• An active role at the convergence of artificial intelligence and audio – a fast-evolving technological field.

• Bonus opportunities.

• Stock options.