Data Infrastructure Engineer for AI Data Ingestion

Speechify; Princeton (NJ); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salaries

Equity

Friendly, laid-back culture

Asynchronous work culture

Job summary

Speechify is hiring for its Data team to own data collection and ingestion for model training. You’ll build high-quality, petabyte-scale datasets by tightly integrating infrastructure, engineering, and research work.

The ideal candidate has 5+ years in software development, strong Bash/Python, and experience with Docker, Terraform, and GCP. You’ll help scale data pipelines and partner with scientists to advance Speechify’s next‑gen AI products.

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 with experience on at least one major cloud provider (GCP).
• Experience with web crawlers and large-scale data processing workflows is a plus.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong written and verbal communication skills.

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

Scripting (Bash)

Python

Docker

Terraform / IaC

GCP

Web crawlers

Data processing

Communication

Education

BS/MS/PhD in Computer Science or related

Tools

Linux environments

Job description

Speechify is hiring for its Data team to own data collection and ingestion for model training. You’ll build high-quality, petabyte-scale datasets by tightly integrating infrastructure, engineering, and research work.

The ideal candidate has 5+ years in software development, strong Bash/Python, and experience with Docker, Terraform, and GCP. You’ll help scale data pipelines and partner with scientists to advance Speechify’s next‑gen AI products.