Software Engineer, Data Infrastructure & Acquisition - Tacoma, WA, USA

The Software Engineer, Data Infrastructure & Acquisition role supports the AI team by managing all aspects of data collection for model training. The position focuses on building and maintaining scalable and cost-efficient data ingestion pipelines to supply high-quality datasets at petabyte scale. This role collaborates closely with scientists and leadership to enhance data acquisition strategies that underpin the development of next-generation AI-powered products.

1. Responsibilities:

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

• Operate and extend cloud infrastructure for data ingestion, primarily on Google Cloud Platform using Terraform

• Collaborate with scientists to optimize cost, throughput, and data quality

• Participate in defining the AI team’’s dataset roadmap for consumer and enterprise products

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

• Minimum 5 years of professional software development experience

• Proficiency in bash/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 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 industry, addressing barriers to reading and learning. Its products convert various text formats into audio, enabling users to read faster, read more, and retain information better. The company serves over 50 million users globally and offers multiple platforms including iOS, Android, Mac, Chrome Extension, and Web applications. It operates as a fully distributed team with approximately 200 employees worldwide, including experts from top tech companies and academic institutions.