Software Engineer, AI Data

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

📋 Description

• Identify new sources of audio data 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 ownership of engineering projects from the identification of problems through to implementation and ongoing enhancement.

• Create petabyte-scale, cost-effective datasets by merging engineering, infrastructure, and research efforts.

⛳️ Requirements

• A degree in Computer Science or a related discipline, or equivalent practical experience.

• Over 5 years of professional software engineering experience, with a solid foundation in backend development.

• Proficient in Python and Bash within Linux environments.

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

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

• Nice to have: Experience with web crawlers, data acquisition, or distributed data-processing systems.

• Nice to have: Experience with cloud infrastructure and Infrastructure as Code, especially GCP and Terraform.

• Nice to have: Familiarity with ML training data, dataset quality, or audio processing.

• Please include links to your portfolio and LinkedIn when submitting your application.

🏝️ Benefits

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

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

• Autonomy that encourages focus and creativity.

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

• Competitive compensation packages.

• A welcoming and inclusive atmosphere.

• A commitment to an outstanding asynchronous work culture.

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

• An active role at the intersection of artificial intelligence and audio, within a rapidly evolving technological landscape.