Data Infrastructure Engineer for AI Datasets & Ingestion

Clutch Canada; Penang; On-site; MYR 100,000 - 180,000; Full time

Benefits offered by this job

Competitive salaries

Asynchronous culture

Hands-off management

Opportunity to shape product

Fast-growing environment

Job summary

Speechify is hiring a Software Engineer to join the Data side of our AI team. You’ll own all aspects of data collection to support model training, building high-quality datasets at petabyte scale through close Infra/Eng/Research collaboration.

You will extend our ingestion pipeline on GCP, use Terraform, and work with scientists to improve cost, throughput, and data quality for next-generation models powering consumer and enterprise products.

Qualifications

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry 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 and large-scale data processing is a plus.
• Ability to handle multiple tasks and adapt to changing priorities.

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

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. You’ll own all aspects of data collection to support model training, building high-quality datasets at petabyte scale through close Infra/Eng/Research collaboration.

You will extend our ingestion pipeline on GCP, use Terraform, and work with scientists to improve cost, throughput, and data quality for next-generation models powering consumer and enterprise products.