Software Engineer, AI Data - Sofia, Bulgaria
Speechify, Remote +1
Speechify has this job in 60 or more other places
- Aarhus, Denmark
- Ahmedabad, India
- Amsterdam, Netherlands
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- Athens, Greece
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- Barcelona, Spain
- Basel, Switzerland
- Belfast, United Kingdom
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- Brno, Czech Republic
- Brussels, Belgium
- Bucharest, Romania
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- Cambridge, United Kingdom
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- Chennai, India
- Cluj‑Napoca, Romania
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- Copenhagen, Denmark
- Cork, Ireland
- Delhi, India
- Dublin, Ireland
- Düsseldorf, Germany
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- Frankfurt, Germany
- Galway, Ireland
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The role
We're looking for a Software Engineer – AI Data to join Speechify's AI team and build the data pipelines that power our model training and next-generation AI products.
We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable.
What you will do
- 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.
Pay and 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, 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