AI Data Platform Engineer — Scale Data Pipelines

Speechify; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dynamic environment

Autonomy

Competitive compensation

Asynchronous culture

Job summary

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team. You will build data pipelines powering model training and next-generation AI products, handling petabyte-scale datasets and optimizing data quality, throughput and cost.

You'll collaborate with AI scientists, own projects from discovery to delivery, and help expand our production systems for scalable data processing in a fast-paced, fully remote environment.

Qualifications

• A degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience, with strong backend development fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, ideally involving data pipelines or large-scale data processing.
• Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments.

Responsibilities

• Discover new sources of data and build reliable pipelines to bring them into training datasets.
• Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
• Collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Skills

Backend development

Problem-solving

Python

Education

Bachelor's degree in Computer Science or related field

Tools

Bash

Linux

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team. You will build data pipelines powering model training and next-generation AI products, handling petabyte-scale datasets and optimizing data quality, throughput and cost.

You'll collaborate with AI scientists, own projects from discovery to delivery, and help expand our production systems for scalable data processing in a fast-paced, fully remote environment.