Data Infrastructure Engineer: AI Data Ingestion Pipelines

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

Benefits offered by this job

Competitive salaries

Equity

Remote-friendly

Job summary

Speechify hires for its Data team to own all aspects of data collection supporting model training. You will build high-quality datasets at scale by tightly integrating infrastructure, engineering, and research work.

A software engineer with data-centric focus is ideal for accelerating Speechify’s next-generation AI products. The role emphasizes collaboration with scientists and leadership to roadmap data strategies, enabling both consumer and enterprise offerings.

Qualifications

• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments.
• Proficiency in Docker and Infrastructure-as-Code concepts; 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

5+ years software development

Bash scripting

Python scripting

Strong communication

Education

BS/MS/PhD in Computer Science

Tools

Docker

Terraform

GCP

Job description

Speechify hires for its Data team to own all aspects of data collection supporting model training. You will build high-quality datasets at scale by tightly integrating infrastructure, engineering, and research work.

A software engineer with data-centric focus is ideal for accelerating Speechify’s next-generation AI products. The role emphasizes collaboration with scientists and leadership to roadmap data strategies, enabling both consumer and enterprise offerings.