Software Engineer, Data Infrastructure & Acquisition - Mumbai, India
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Key skills for this role
Role Overview
The role supports the data side of Speechify's AI team and covers data collection for model training operations.
The team builds high-quality datasets at petabyte scale through integrated infrastructure, engineering, and research work.
Key Skills for This Role
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About Speechify
Speechify builds text-to-speech products that convert reading materials into audio for users around the world.
The company operates as a fully distributed organization with no office.
Role Overview
The role supports the data side of Speechify's AI team and covers data collection for model training operations.
The team builds high-quality datasets at petabyte scale through integrated infrastructure, engineering, and research work.
What You Will Do
- Find new sources of audio data and bring them into the ingestion pipeline.
- Operate and extend GCP cloud infrastructure managed with Terraform.
- Collaborate with scientists to improve the cost, throughput, and quality of data operations.
- Deliver richer data at larger scale and lower cost for next-generation models.
- Help shape the AI team's dataset roadmap with AI team members and leadership.
- Support datasets for next-generation consumer and enterprise products.
Ideal Candidate Qualifications
- Bachelor's, master's, or doctoral degree in computer science or a related field.
- At least 5 years of industry experience in software development.
- Proficiency with Bash or Python scripting in Linux environments.
- Proficiency in Docker and infrastructure-as-code concepts.
- Professional experience with a major cloud provider, including GCP.
- Experience with web crawlers and large-scale data processing workflows is a plus.
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong written and verbal communication skills.
What the Company Offers
- A fast-growing environment where employees can shape the company and product.
- A hands-off management approach and an asynchronous culture.
- An opportunity to make a significant impact on a product used by millions of people.
- The opportunity to build products supporting people with learning differences.
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