
Software Engineer, AI Data
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in United Kingdom.
• 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 aid in the development of next-generation models.
• Manage engineering projects from initial problem identification to execution and ongoing improvement.
• Create data pipelines that support model training and next-generation AI products.
• Merge engineering, infrastructure, and research to produce high-quality datasets at petabyte scale with minimal costs.
• A degree in Computer Science or a related field, or equivalent practical experience.
• Over 5 years of professional experience in software engineering, demonstrating strong backend development skills.
• Proficiency in Python and Bash within Linux environments.
• Experience in building and maintaining production systems, preferably those involving data pipelines or large-scale data processing.
• Excellent problem-solving abilities, a proactive approach, and the capability to work independently in uncertain situations.
• Include portfolio and LinkedIn links with your application.
• Nice to have: Experience with web crawlers, data acquisition, or distributed data-processing systems.
• Nice to have: Familiarity with cloud infrastructure and Infrastructure as Code, especially with GCP and Terraform.
• Nice to have: Understanding of ML training data, dataset quality, or audio processing.
• 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.
• A welcoming and inclusive atmosphere.
• An outstanding asynchronous work culture.
• The opportunity to work on a product that positively impacts lives, especially for individuals with learning differences like dyslexia, ADD, and more.
• An active role at the crossroads of artificial intelligence and audio, a rapidly advancing technological field.
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