Remote Data Infrastructure Engineer — AI Data Pipelines

Speechify; Tulsa (OK); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Fast-growing environment

Entrepreneurial-minded team

Hands-off management

Life-changing product

Job summary

Speechify is hiring for the Data side of its AI team to own data collection and support model training at petabyte scale. You will build high-quality datasets and work closely with engineering and research to power next-generation products.

The role focuses on ingesting audio data, extending cloud infrastructure, and collaborating with scientists to improve data quality at scale and reduce costs. A CS degree and 5+ years of software development are preferred.

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

Data processing

Cloud collaboration

Education

CS degree

Tools

Docker

Terraform

GCP

Job description

Speechify is hiring for the Data side of its AI team to own data collection and support model training at petabyte scale. You will build high-quality datasets and work closely with engineering and research to power next-generation products.

The role focuses on ingesting audio data, extending cloud infrastructure, and collaborating with scientists to improve data quality at scale and reduce costs. A CS degree and 5+ years of software development are preferred.