Data Infra Engineer: Ingest, Scale AI Datasets

Speechify; Long Beach (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Fast-growing environment

Entrepreneurial team

Asynchronous culture

Impactful AI product

Job summary

Speechify is hiring for its data-focused AI team. The role centers on building and operating data collection for model training, using cloud infrastructure (GCP) and Terraform to ingest data at scale.

You will collaborate with scientists to push the cost, throughput, and quality frontier, enabling bigger, cheaper datasets for next-gen models. Ideal candidates have 5+ years in software development, strong Bash/Python skills, and experience with data pipelines and cloud infrastructure, with a

Qualifications

• BS/MS/PhD in Computer Science or 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 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.

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/Python scripting

Docker

Terraform

Cloud (GCP)

Data ingestion

Web crawlers

Large-scale data processing

Linux

Communication

Education

BS/MS/PhD in Computer Science or related field

Tools

GCP

Terraform

Job description

Speechify is hiring for its data-focused AI team. The role centers on building and operating data collection for model training, using cloud infrastructure (GCP) and Terraform to ingest data at scale.

You will collaborate with scientists to push the cost, throughput, and quality frontier, enabling bigger, cheaper datasets for next-gen models. Ideal candidates have 5+ years in software development, strong Bash/Python skills, and experience with data pipelines and cloud infrastructure, with a