Software Engineer, Data Infrastructure & Acquisition - Reston, VA, USA

The Software Engineer, Data Infrastructure & Acquisition is responsible for managing data collection to support AI model training. This role enables the organization to develop large-scale, high-quality datasets efficiently by integrating infrastructure, engineering, and research efforts. The position contributes directly to advancing data capabilities that power next-generation consumer and enterprise products, collaborating closely with AI scientists and leadership to shape the data roadmap.

3. Responsibilities:

• Identify and acquire new sources of audio data for ingestion

• Operate and enhance cloud infrastructure for data pipelines on Google Cloud Platform managed with Terraform

• Work with AI scientists to improve data quality, scale, and cost efficiency

• Collaborate with the AI team and leadership to develop the dataset strategy for future products

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

• 5+ years of professional software development experience

• Proficiency in bash and Python scripting within Linux environments

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

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

• Ability to manage multiple tasks and adapt to shifting priorities

• Strong written and verbal communication skills

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

The organization operates in the text-to-speech technology industry, addressing the challenge of making reading accessible for people with various learning needs. Its products transform written content such as PDFs, books, and web articles into audio, enabling users to read faster, comprehend more, and retain information better. With over 50 million users globally, the company offers applications across iOS, Android, Mac, Chrome, and web platforms. The organization maintains a fully distributed workforce of nearly 200 employees worldwide, including engineers, AI scientists, and industry experts from leading technology companies and academic institutions. It has received recognition for product design and inclusivity from major industry players.