Software Engineer, AI Data

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

📋 Description

• Identify new audio data sources and create dependable pipelines to incorporate 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.

• Assume responsibility for engineering projects from the identification of issues through 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 maintaining production systems, preferably involving data pipelines or large-scale data processing.

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

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

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

• Autonomy that encourages focus and creativity.

• The chance to make a significant impact in an industry that is transforming.

• Competitive salary.

• A friendly and inclusive atmosphere.

• An outstanding asynchronous work culture.

• The opportunity to work on a product that positively affects 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.

• Stock options.