Software Engineer, Data Infrastructure & Acquisition - Menlo Park, CA, USA

The Software Engineer, Data Infrastructure & Acquisition role focuses on supporting AI model training by managing and enhancing data collection processes. The position involves developing scalable, cost-effective data ingestion systems and collaborating with AI scientists and leadership to improve and expand datasets that drive next-generation consumer and enterprise products.

3. Responsibilities:

• Identify and integrate new audio data sources into the ingestion pipeline

• Operate and develop cloud infrastructure for data ingestion using GCP and Terraform

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

• Work with AI Team and leadership to define the dataset roadmap for future products

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

• Over five years of software development experience

• Proficiency with bash and Python scripting in Linux environments

• Experience with Docker, Infrastructure-as-Code, and major Cloud Providers (GCP preferred)

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

• 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 field of text-to-speech technology aimed at removing reading barriers for learners. Its products convert various text formats, including PDFs, books, and web content, into audio to enhance reading speed, volume, and retention. Serving over 50 million users globally, the company offers applications across iOS, Android, Mac, Chrome, and web platforms. The team is fully distributed, consisting of nearly 200 professionals with backgrounds in engineering, AI research, and leadership from major tech firms and academic institutions.