Software Engineer, Data Infrastructure & Acquisition - Birmingham, AL, USA

The Software Engineer, Data Infrastructure & Acquisition will focus on data collection to support AI model training. This role is crucial for building high-quality, large-scale datasets by integrating infrastructure, engineering, and research efforts. The position involves enhancing data ingestion pipelines, optimizing data quality and cost, and collaborating with AI scientists and leadership to develop the dataset roadmap that powers the organization's next-generation products.

3. Responsibilities:

• Identify and acquire new sources of audio data for ingestion

• Operate and expand cloud infrastructure for data pipelines using GCP and Terraform

• Collaborate with scientists to improve data quality, throughput, and cost efficiency

• Work with AI team and leadership to plan and execute dataset development strategies

• BS/MS/PhD in Computer Science or related field

• 5+ years of software development experience

• Proficiency with bash and Python scripting in Linux environments

• Experience with Docker, Infrastructure-as-Code, and at least one major cloud provider (preferably GCP)

• Experience with web crawlers and large-scale data processing workflows is a plus

• Ability to manage multiple tasks and adapt to changing priorities

• Strong written and verbal communication skills

• The United States base salary range for this full-time position is $140,000-$200,000 plus bonus and equity depending on experience

The organization operates in the text-to-speech technology space, addressing the challenge of making reading accessible and easier for a wide range of users. Its products convert various text formats-such as PDFs, books, and web content-into audio, enabling users to read faster, retain more information, and overcome reading barriers. With over 50 million users worldwide, the organization offers multiple platforms including iOS, Android, Mac, Chrome Extension, and Web apps. The company has received recognition for its technology, including awards from Google and Apple. The team is fully distributed with nearly 200 employees globally, including engineers and AI researchers from top tech companies and academic institutions.