Software Engineer, AI Data

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

📋 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 enhance training datasets and assist in the development of next-generation models.

• Take charge of 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 strong foundation in backend development.

• Expertise in Python and Bash within Linux environments.

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

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

• Familiarity with web crawlers, data acquisition, or distributed data-processing systems is a plus.

• Experience with cloud infrastructure and Infrastructure as Code, especially GCP and Terraform, is a plus.

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

🏝️ Benefits

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

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

• Autonomy that promotes focus and creativity.

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

• Competitive compensation, a friendly atmosphere, and a commitment to an outstanding asynchronous work culture.

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

• An active role at the forefront of artificial intelligence and audio – a swiftly changing technological field.

• Bonus

• Stock