Top Software Engineer Jobs

The Software Engineer will design and maintain backend services, focusing on APIs related to payments, subscriptions, and text-to-speech, while enhancing performance and collaborating with cross-functional teams.

Design, develop, and maintain robust backend APIs for various services, ensuring scalability and optimization, while collaborating on B2B solutions and cross-functional teams.

The Software Engineer will design, develop, and maintain backend services, focusing on APIs for payments, subscriptions, and text-to-speech functionalities. Responsibilities include overseeing the API landscape and collaborating with cross-functional teams to enhance user experiences.

The Software Engineer will design, develop, and maintain backend services including APIs, collaborate with teams, and ensure scalability of products.

As a Software Engineer on the Platform team, you will design, develop, and maintain backend services and APIs, ensuring scalability and alignment with product strategy.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on dataset roadmaps to enhance data quality for Speechify's products.

The Software Engineer will design, develop, and maintain backend services including APIs for payments, subscriptions, and TTS, while ensuring scalability and performance.

The Software Engineer will collect data for model training, extend cloud infrastructure, and collaborate to enhance data quality and scale for AI products.

As a Software Engineer on the Data team at Speechify, you'll collect audio data, manage cloud infrastructure, and collaborate on dataset roadmaps to enhance model training operations.

The Software Engineer for Data Infrastructure & Acquisition will handle data collection for model training, manage cloud infrastructure on GCP, and collaborate with the AI team to enhance data quality and scalability.

The Software Engineer will support data collection for model training by enhancing cloud infrastructure and collaborating on data workflows, focusing on efficiency and scalability.

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

The role involves managing data collection for AI model training at Speechify, optimizing ingestion pipelines on cloud infrastructure, and collaborating with scientists to enhance data quality and scalability.

The role involves managing data collection for AI model training, extending cloud infrastructure, and collaborating on dataset roadmaps at Speechify.

The Software Engineer will manage data collection for model training, optimize cloud infrastructure on GCP, and collaborate with AI team members to enhance dataset quality and volume.

The Software Engineer will manage data collection for AI model training, extend cloud infrastructure on GCP, and collaborate on data strategy.

As a Software Engineer for Data Infrastructure & Acquisition at Speechify, you will focus on data collection, operate cloud infrastructure, and collaborate with the AI team to enhance data processing for model training.

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

As a Software Engineer on the AI team, you will manage data collection, extend cloud infrastructure, and collaborate on dataset roadmaps for model training operations.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on AI datasets.

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

This role entails sourcing audio data, extending cloud ingestion pipelines on GCP, and collaborating with AI scientists to enhance data processing for model training.

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

The Software Engineer will enhance data ingestion pipelines, collaborate with AI scientists, and integrate new audio data sources, all within a cloud infrastructure.

The Software Engineer will handle data collection for AI model training, optimize the data ingestion pipeline, and collaborate with scientists to improve data quality and scale.