Remote Data Infrastructure Engineer for AI Ingestion

Speechify; Pittsburgh (Allegheny County); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity

Bonus

Job summary

Speechify is hiring for a Data/Software Engineer to own data collection for model training. You will build high-quality datasets at scale by tightly integrating infrastructure, engineering, and research work.

You will work with Scientists and AI leadership to shape dataset roadmaps, extend ingestion pipelines on GCP, and contribute to next-generation consumer and enterprise products. This role supports a fully distributed, remote workforce.

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

Bash

Python

Docker

Terraform

Linux

Cloud (GCP)

Education

BS/MS/PhD in Computer Science or related field

Tools

Terraform

GCP

Job description

Speechify is hiring for a Data/Software Engineer to own data collection for model training. You will build high-quality datasets at scale by tightly integrating infrastructure, engineering, and research work.

You will work with Scientists and AI leadership to shape dataset roadmaps, extend ingestion pipelines on GCP, and contribute to next-generation consumer and enterprise products. This role supports a fully distributed, remote workforce.