Distributed Data Infra Engineer for Scalable AI

Speechify

United States

Remote

USD 140,000 - 200,000

Full time

10 hours ago
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Benefits offered by this job

Fast-growing environment
Entrepreneurial team
Autonomous culture
Impactful work

Job summary

Speechify is hiring a Software Engineer to join the Data side of our AI team, focusing on data collection and ingestion to support model training at scale.

You will help build and operate the ingestion pipeline on GCP, extend Terraform-based infrastructure, and collaborate with scientists to improve data quality, throughput, and cost efficiency.

A CS degree with 5+ years in software development is required; familiarity with Bash, Python, Docker, and IaC is highly valued.

Qualifications

  • BS/MS/PhD in CS or related field.
  • 5+ years of industry experience in software development.
  • Proficiency with Bash/Python scripting in Linux environments
  • Proficiency in Docker and IaC concepts with experience on 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 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 data ingestion
Strong communication

Education

BS/MS/PhD in Computer Science or related field

Tools

Docker
Terraform
GCP

Job description

Speechify is hiring a Software Engineer to join the Data side of our AI team, focusing on data collection and ingestion to support model training at scale.

You will help build and operate the ingestion pipeline on GCP, extend Terraform-based infrastructure, and collaborate with scientists to improve data quality, throughput, and cost efficiency.

A CS degree with 5+ years in software development is required; familiarity with Bash, Python, Docker, and IaC is highly valued.

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