Senior Data Ingestion & Infrastructure Engineer

Speechify; Mountain View (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Fast-growing environment

Entrepreneurial-minded team

Hands-off management approach

Competitive salaries & equity

Work on life-changing product

Job summary

Speechify seeks a Software Engineer focused on data for our AI team. You will build and optimize data collection pipelines to support model training, ingesting audio data from diverse sources and scaling to petabyte-scale datasets.

You will work across infrastructure, engineering, and research to reduce cost while improving data quality and throughput on GCP, Terraform, and cloud-native tools.

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.

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

Software development experience

Bash/Python scripting

Docker

Infrastructure as Code

GCP

Web crawlers

Education

BS/MS/PhD in Computer Science or related field

Tools

Terraform

GCP

Job description

Speechify seeks a Software Engineer focused on data for our AI team. You will build and optimize data collection pipelines to support model training, ingesting audio data from diverse sources and scaling to petabyte-scale datasets.

You will work across infrastructure, engineering, and research to reduce cost while improving data quality and throughput on GCP, Terraform, and cloud-native tools.