Data Infra & Acquisition Engineer — AI Pipelines

Speechify; Cary, Northern (NC, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Speechify is hiring a Software Engineer to own data collection and ingestion for model training. You will build datasets at petabyte scale by tightly integrating infrastructure, engineering, and research. You will join a distributed team working on data pipelines powering next-generation AI models.

The role emphasizes collaboration with scientists and leadership, cloud-based infrastructure, and a focus on scalable, cost-efficient data acquisition for consumer and enterprise products.

Qualifications

• BS/MS/PhD in Computer Science or 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 (GCP).
• Experience with web crawlers, large-scale data processing workflows is a plus.

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

Bash

Python

Docker

IaC

GCP

Web crawlers

Data pipelines

Terraform

Education

BS/MS/PhD in Computer Science

Tools

Terraform

Docker

GCP

Linux

Job description

Speechify is hiring a Software Engineer to own data collection and ingestion for model training. You will build datasets at petabyte scale by tightly integrating infrastructure, engineering, and research. You will join a distributed team working on data pipelines powering next-generation AI models.

The role emphasizes collaboration with scientists and leadership, cloud-based infrastructure, and a focus on scalable, cost-efficient data acquisition for consumer and enterprise products.