Data Infrastructure Engineer for AI Data Pipelines

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

Benefits offered by this job

Competitive salary

Asynchronous culture

Distributed team

Impactful work

Learning differences support

Job summary

Speechify is hiring for a Data Software Engineer to own data collection and support model training operations in a fully distributed team. You will build high-quality datasets at petabyte-scale by tightly integrating infrastructure, engineering, and research.

You will collaborate with AI Scientists to optimize cost, throughput, and data quality, enabling next‑gen models for both consumer and enterprise products. Remote-friendly, high-impact role with competitive compensation.

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 GCP experience.
• Experience with web crawlers and large-scale data processing workflows is a plus.
• 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

5+ years software dev

Bash scripting

Python scripting

Web crawling

Communication skills

Education

BS/MS/ PhD in Computer Science or related field

Tools

Docker

Terraform

Google Cloud Platform (GCP)

Linux

Job description

Speechify is hiring for a Data Software Engineer to own data collection and support model training operations in a fully distributed team. You will build high-quality datasets at petabyte-scale by tightly integrating infrastructure, engineering, and research.

You will collaborate with AI Scientists to optimize cost, throughput, and data quality, enabling next‑gen models for both consumer and enterprise products. Remote-friendly, high-impact role with competitive compensation.