Software Engineer, Data Infrastructure & Acquisition - Jersey City, NJ, USA

The Software Engineer, Data Infrastructure & Acquisition is a key contributor to the AI team's data collection efforts that support model training operations. This role focuses on developing and maintaining scalable data ingestion pipelines and cloud infrastructure to enable the creation of high-quality datasets at petabyte scale. The position collaborates closely with scientists and leadership to optimize data quality and efficiency, directly impacting the development of next-generation consumer and enterprise AI products.

3. Responsibilities:

• Identify and acquire new sources of audio data for ingestion pipelines

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

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

• BS/MS/PhD in Computer Science or a related discipline

• Minimum 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 (GCP preferred)

• Knowledge of 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-$200,000 plus bonus and equity, depending on experience

This organization operates in the text-to-speech technology sector, aiming to eliminate reading as a barrier to learning. Their products convert various reading materials-such as PDFs, books, Google Docs, news articles, and websites-into audio formats to facilitate faster, more extensive, and better-retained reading experiences. Serving over 50 million users globally, their suite includes iOS, Android, Mac, Chrome Extension, and Web applications. The team is fully distributed, comprising nearly 200 professionals worldwide, including engineers and AI researchers with backgrounds in leading tech companies and academic programs.