Data Infra Engineer: Scalable AI Data Pipelines

Speechify; Sweden; On-site; SEK 289,575 - 1,110,038; Full time

Benefits offered by this job

Fast growth

Entrepreneurial team

Hands-off management

Impactful work

Competitive salary

Job summary

Speechify in Sweden is seeking a Software Engineer to join its AI data team, focusing on building and scaling data ingestion pipelines for model training. You’ll own end-to-end data collection and infrastructure, collaborating with scientists to optimize cost, throughput, and quality.

The role requires BS/MS/PhD in CS, 5+ years in software, Bash/Python, Docker, Terraform, GCP, and experience with web crawlers and large-scale data workflows.

Qualifications

• BS/MS/PhD in Computer Science or a 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
• 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

Docker

Terraform

GCP

Web crawlers

Linux

Communication

Education

CS degree (BS/MS/PhD)

Tools

Bash

Docker

Terraform

GCP

Job description

Speechify in Sweden is seeking a Software Engineer to join its AI data team, focusing on building and scaling data ingestion pipelines for model training. You’ll own end-to-end data collection and infrastructure, collaborating with scientists to optimize cost, throughput, and quality.

The role requires BS/MS/PhD in CS, 5+ years in software, Bash/Python, Docker, Terraform, GCP, and experience with web crawlers and large-scale data workflows.