Senior AI Data Engineer - Large-Scale ML Pipelines

Speechify; United States; Remote; USD 30,000 - 100,000; Full time

Benefits offered by this job

Stock options

Asynchronous work culture

Remote-friendly team

Job summary

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training for next‑generation products. We build high‑quality datasets at scale and work across data engineering, infrastructure, and research to improve AI training efficiency.

You will design and operate production data pipelines, collaborate with AI scientists, and own projects from discovery to deployment in a fast‑moving, 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 audio data and build reliable pipelines to bring them into our 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

Independent work

Education

Degree in Computer Science or related field

Tools

Python

Bash

Linux

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join our distributed AI team and build data pipelines powering model training for next‑generation products. We build high‑quality datasets at scale and work across data engineering, infrastructure, and research to improve AI training efficiency.

You will design and operate production data pipelines, collaborate with AI scientists, and own projects from discovery to deployment in a fast‑moving, fully remote environment.