Distributed AI Data Engineer: Build Scalable ML Pipelines

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

Benefits offered by this job

Dynamic work environment

Autonomy and ownership

Competitive compensation

Job summary

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. You will work on petabyte-scale datasets, improving data quality, throughput, and cost, in a fully distributed, remote environment.

You'll partner with AI scientists to enhance training datasets and support the development of next-generation models, taking ownership from problem discovery through implementation and continuous improvement.

Qualifications

• Degree in Computer Science or related field or equivalent practical experience.
• 5+ years of professional software engineering experience.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, especially data pipelines or large-scale data processing.

Responsibilities

• Discover new data sources and build reliable pipelines for training datasets.
• Build and improve large-scale data-processing systems with focus on quality, throughput, and cost.
• Collaborate with AI scientists to improve training datasets and models.

Skills

Python

Bash

Backend

Data pipelines

Problem-solving

Education

CS degree or equivalent

Tools

Linux

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next-generation AI products. You will work on petabyte-scale datasets, improving data quality, throughput, and cost, in a fully distributed, remote environment.

You'll partner with AI scientists to enhance training datasets and support the development of next-generation models, taking ownership from problem discovery through implementation and continuous improvement.