Data Infrastructure Engineer: AI Data Pipelines on GCP

Speechify; Kansas City (MO); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Equity + bonus

Fully distributed team

Job summary

Speechify is seeking a data-focused Software Engineer to join our AI data team. You’ll build and optimize data collection pipelines that support petabyte-scale datasets for model training, collaborating with scientists and infrastructure engineers in a fully distributed environment.

The ideal candidate has 5+ years of software development experience, strong Bash/Python scripting, Docker and IaC with GCP, plus experience with web crawlers and large-scale data processing.

Qualifications

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of software development experience.
• 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

Cloud infrastructure

Data ingestion pipelines

Communication skills

Education

BS/MS/PhD in Computer Science

Tools

Docker

Terraform

Job description

Speechify is seeking a data-focused Software Engineer to join our AI data team. You’ll build and optimize data collection pipelines that support petabyte-scale datasets for model training, collaborating with scientists and infrastructure engineers in a fully distributed environment.

The ideal candidate has 5+ years of software development experience, strong Bash/Python scripting, Docker and IaC with GCP, plus experience with web crawlers and large-scale data processing.