About this role
The vacancy title and description are shown in the language supplied by the original source.
Discover new sources of audio data and build reliable pipelines to bring them into our 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 the development of next-generation models.
Take ownership of engineering projects from problem discovery through implementation and continuous improvement.
An Ideal Candidate Should Have:
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.
Nice to Have
Experience with web crawlers, data acquisition, or distributed data-processing systems.
Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform.
Familiarity with ML training data, dataset quality, or audio processing.
What We Offer
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, and a commitment to 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
The Ireland Based Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn.Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Originally posted on Himalayas