Data Infrastructure Engineer – Ingestion & Cloud

Speechify; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Speechify is looking to hire a Software Engineer to join the Data side of our AI team. This role covers all aspects of data collection to support model training operations, enabling the creation of high-quality datasets at petabyte-scale and low cost through close infrastructure, engineering, and research collaboration.

You will source audio data, extend the ingestion pipeline on GCP with Terraform, and work with Scientists to improve cost, throughput, and quality to power next-generation models

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 professional 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 scripting

Python scripting

Linux environments

Strong communication

Task management

Education

BS/MS/PhD in Computer Science or related field

Tools

Docker

Terraform

GCP

Job description

Speechify is looking to hire a Software Engineer to join the Data side of our AI team. This role covers all aspects of data collection to support model training operations, enabling the creation of high-quality datasets at petabyte-scale and low cost through close infrastructure, engineering, and research collaboration.

You will source audio data, extend the ingestion pipeline on GCP with Terraform, and work with Scientists to improve cost, throughput, and quality to power next-generation models