Top Remote Software Engineer Jobs

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.

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

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 role involves managing data collection and infrastructure for model training at Speechify, requiring collaboration with AI scientists and data sourcing.

The Software Engineer for Data Infrastructure is responsible for data collection and managing the ingestion pipeline, collaborating with AI scientists and leadership to enhance dataset quality and cost-effectiveness for model training.

The Software Engineer will develop and optimize data collection, integrate with cloud infrastructure, and collaborate on data pipeline advancements for AI models.

The Software Engineer will manage data collection for model training, integrate data pipelines, and collaborate on AI dataset strategies.

The Software Engineer will be responsible for data collection, cloud infrastructure management, and collaborating with scientists to enhance data processing for model training operations.

The Software Engineer will manage data collection processes, enhance cloud infrastructure, and collaborate on dataset roadmaps to improve Speechify's audio data ingestion pipeline.

The Software Engineer will design and maintain backend APIs, collaborate on B2B solutions, and optimize services for performance and scalability in a distributed environment.

As a Software Engineer on the Platform team, you'll design, develop, and maintain APIs, optimize backend performance, and collaborate with cross-functional teams on user experience in a fast-paced environment.

As a Software Engineer on the Platform team, you will design and maintain backend services, optimizing APIs, working collaboratively for product enhancement, and focusing on user experiences.

Design, develop, and maintain backend APIs including payment and subscription systems, collaborate on B2B solutions, ensure performance and scalability.

The role involves designing, developing, and maintaining APIs for backend services while collaborating with cross-functional teams to enhance user experiences and support business needs.

Lead development of Android client features using Kotlin; collaborate with engineers, product, UX and QA; own major components, mentor junior engineers, advocate mobile platform, and improve processes to deliver high-quality customer experiences.