Data Infrastructure & Acquisition Engineer (Remote)

Speechify

San Francisco (CA)

On-site

USD 140,000 - 200,000

Full time

28 hours ago
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Benefits offered by this job

Competitive salary
Friendly culture
Asynchronous work environment
Impactful AI data work

Job summary

Speechify is seeking a Software Engineer to own all aspects of data collection for model training. You will build high-quality datasets at petabyte scale by tightly integrating infrastructure, engineering, and research, enabling next-generation AI models and products.

The ideal candidate will have strong software development experience, proficiency in bash/Python, and hands-on work with Docker, Terraform, and cloud services, especially GCP.

Qualifications

  • BS/MS/PhD in Computer Science or related field required
  • 5+ years of software development experience
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts; experience with GCP
  • Experience with web crawlers and large-scale data processing is a plus
  • Strong communication skills and ability to handle multiple tasks in a fast-paced environment

Responsibilities

  • Be scrappy to find and ingest new sources of audio data into the ingestion pipeline
  • Operate and extend the cloud infrastructure for the ingestion pipeline (GCP, Terraform)
  • Collaborate with Data Scientists to improve cost/throughput/quality for data at scale
  • Contribute to dataset roadmap to power Speechify’s next-generation products

Skills

5+ years software development
bash/Python scripting
Docker & IaC
Cloud (GCP)
data processing workflows
communication skills
multitasking

Education

BS/MS/PhD in Computer Science or related field

Tools

Terraform

Job description

Speechify is seeking a Software Engineer to own all aspects of data collection for model training. You will build high-quality datasets at petabyte scale by tightly integrating infrastructure, engineering, and research, enabling next-generation AI models and products.

The ideal candidate will have strong software development experience, proficiency in bash/Python, and hands-on work with Docker, Terraform, and cloud services, especially GCP.

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