Data Infrastructure & Acquisition Engineer for AI Pipelines

Speechify; Bellevue, Northern (WA, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Speechify is hiring for a Software Engineer in Bellevue, WA to own data collection and data-infrastructure work supporting model training. You will build and operate ingestion pipelines, scale cloud infrastructure, and collaborate with AI researchers to improve data quality and cost efficiency.

The role emphasizes cross-team collaboration, handling large-scale data, and contributing to products used by millions of readers with dyslexia and other learning differences.

Qualifications

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments.
• Proficiency in Docker and Infrastructure-as-Code concepts and experience with at least one major Cloud Provider (we use GCP).
• Experience with web crawlers, large-scale data processing workflows is a plus.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

Responsibilities

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline.
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

Skills

Strong communication

Education

BS/MS/PhD in Computer Science or related field

Tools

Docker

Bash

Python

Terraform

GCP

Job description

Speechify is hiring for a Software Engineer in Bellevue, WA to own data collection and data-infrastructure work supporting model training. You will build and operate ingestion pipelines, scale cloud infrastructure, and collaborate with AI researchers to improve data quality and cost efficiency.

The role emphasizes cross-team collaboration, handling large-scale data, and contributing to products used by millions of readers with dyslexia and other learning differences.