Job type
- Full-time
- Remote
Job description
Job Description:
- Discover new sources of audio data and build reliable pipelines to bring them into training datasets.
- Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
- Collaborate closely with AI Scientists to improve training datasets and support next-generation model development.
- Own engineering projects from problem discovery through implementation and continuous improvement.
Requirements:
- A degree in Computer Science or a related field, or equivalent practical experience.
- 5+ years of professional software engineering experience, with strong backend development fundamentals.
- Proficiency in Python and Bash in Linux environments.
- Experience building and operating production systems, ideally involving data pipelines or large-scale data processing.
- Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments.
- Experience with web crawlers, data acquisition, or distributed data-processing systems (nice to have).
- Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform (nice to have).
- Familiarity with ML training data, dataset quality, or audio processing (nice to have).
Benefits:
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation
- A welcoming atmosphere
- An exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
- Bonus
- Equity
- 100% distributed setting with no office