Top Senior Software Engineer Jobs

The role involves data collection for model training at Speechify, requiring engineering infrastructure, scripting, cloud management, and collaboration with the AI team.

As a Senior iOS Engineer, you'll lead engineering decisions, ship production code for the Speechify iOS app, and enhance the app architecture while collaborating in a fast-paced, remote environment.

As a Senior iOS Engineer at Speechify, you'll lead product decisions, ship production code, enhance app architecture, and focus on customer experience in a fast-paced startup environment.

The Software Engineer will manage data collection for model training, enhance cloud infrastructure, collaborate with scientists, and handle audio data ingestion pipelines.

As a Senior iOS Engineer at Speechify, you'll lead product decisions, write production code, and enhance app architecture for a large user base.

The Software Engineer will manage data collection, enhance the cloud infrastructure for ingestion pipelines, and collaborate on dataset roadmaps for AI model training.

As a Senior iOS Engineer, you'll lead engineering and product decisions, ship production code, and enhance the app architecture while maintaining user experience.

As a Senior iOS Engineer, you'll lead engineering decisions, develop for the Speechify iOS app, enhance app architecture, and participate in product discussions.

The Software Engineer will manage data collection for AI model training, enhance cloud infrastructure, and collaborate on data strategy for Speechify's products.

The Senior iOS Engineer will lead engineering decisions, ship code for the iOS app, participate in product discussions, and maintain app architecture, aiming to enhance user experience.

The Software Engineer will manage data collection and cloud infrastructure for Speechify's data ingestion pipeline, collaborating with scientists to enhance model training operations.

The Software Engineer will manage data collection and ingestion for AI model training, improve cloud infrastructure, and collaborate on dataset strategies.

The Software Engineer will manage data collection for model training, extend cloud infrastructure, and collaborate with scientists to enhance data quality and scalability.

The role involves leading engineering decisions for the Speechify iOS app, maintaining its architecture, shipping production code, and participating in product discussions, requiring strong Swift and SwiftUI skills while emphasizing customer-focused development.

The role focuses on data collection for AI model training, managing data ingestion pipelines on cloud infrastructure, and collaborating with scientists to enhance data quality and efficiency.

The Software Engineer will manage data collection for AI model training, optimize data ingestion pipelines, and collaborate on dataset development for Speechify's products.

The Software Engineer will handle data collection for AI models, operate cloud infrastructure, and collaborate with scientists to enhance data processing capabilities.

The role requires a Software Engineer to manage and improve data collection for AI, extending the ingestion pipeline on GCP, and collaborating with scientists to optimize data delivery.

As a Software Engineer, you will develop data collection processes, enhance the ingestion pipeline, and collaborate with AI scientists to optimize datasets for model training.

The Software Engineer will manage data collection to support model training, operate cloud infrastructure for data ingestion, and collaborate with scientists to improve data quality and cost efficiency.

The Software Engineer will enhance data collection for AI model training, manage cloud infrastructure, and collaborate on dataset roadmaps.

This role involves finding audio data sources, managing ingestion pipelines in GCP, collaborating with scientists for data processing, and developing datasets for AI models.

As a Software Engineer for Data Infrastructure at Speechify, you'll focus on data collection, manage the cloud infrastructure for the ingestion pipeline, and collaborate with the AI team to enhance data quality and scale.

The Software Engineer will manage data collection for AI model training, optimize cloud infrastructure on GCP, and collaborate with scientists to enhance datasets.

The Software Engineer will manage data collection to support model training, enhance data ingestion pipelines on GCP, and collaborate on AI dataset strategies.