AI Data Engineer: Build Scalable ML Training Pipelines

Speechify; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Autonomy

Asynchronous work environment

Job summary

Speechify seeks a Software Engineer - AI Data to join its AI team and build data pipelines powering model training. You will create reliable pipelines for new audio data sources and collaborate with AI scientists to enhance datasets.

The ideal candidate has 5+ years of software engineering experience, strong Python and Bash skills, and experience building production data systems. Independent work in ambiguous environments is valued.

Qualifications

• 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 and ability to work independently in ambiguous environments.

Responsibilities

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

Skills

Python

Bash

Backend development

Data pipelines

Problem solving

Education

Degree in Computer Science or related field

Equivalent practical experience

Job description

Speechify seeks a Software Engineer - AI Data to join its AI team and build data pipelines powering model training. You will create reliable pipelines for new audio data sources and collaborate with AI scientists to enhance datasets.

The ideal candidate has 5+ years of software engineering experience, strong Python and Bash skills, and experience building production data systems. Independent work in ambiguous environments is valued.