Remote AI Data Engineer for Scalable ML Pipelines

Speechify; United States; À distance; USD 30 000 - 120 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Asynchronous culture

Autonomy

Impactful work

Résumé du poste

Speechify is hiring 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 data, build scalable data systems, and collaborate with AI scientists to improve training datasets.

The ideal candidate has 5+ years of software engineering experience, strong Python and Bash skills, and a background in production data pipelines.

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.

Responsabilités

• 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 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.

Connaissances

Python

Bash

Backend development

Data pipelines

Formation

CS degree or equivalent

Outils

GCP

Terraform

Description du poste

Speechify is hiring 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 data, build scalable data systems, and collaborate with AI scientists to improve training datasets.

The ideal candidate has 5+ years of software engineering experience, strong Python and Bash skills, and a background in production data pipelines.