Top Software Engineer Jobs

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.

As a Senior iOS Engineer at Speechify, you will lead engineering decisions, enhance the iOS app, and shape the product roadmap while focusing on user experience and delivering results in a fast-paced environment.

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 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 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 collection processes, manage cloud infrastructure for ingestion pipelines, and collaborate on dataset roadmaps for AI products.

The Senior iOS Engineer will lead product decisions, actively ship code, work within a product team, and enhance app architecture for Speechify's iOS app.

The role involves leading engineering decisions, shipping production code for the iOS app, and maintaining app architecture within a fast-paced, remote environment, focusing on customer experience and product development.

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

As a Senior iOS Engineer at Speechify, you will lead product decisions, ship production code, and enhance app architecture in a fast-paced, remote environment.

As a Senior iOS Engineer at Speechify, you will lead engineering decisions, enhance the iOS app, participate in product discussions, and maintain complex app architecture.

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.

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.

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

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

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

You will develop and maintain backend systems for a platform analyzing in-person sales conversations while collaborating with product and design teams, ensuring the technical excellence of features.

Design and develop scalable software solutions, collaborate with teams, implement real-time systems, ensuring engineering excellence and operational success.

As a Senior Software Engineer, you'll develop customer-facing features, ensuring user experiences are intuitive and polished, while collaborating closely with product and design teams.

Lead performance architecture and optimization strategies for AI inference services, focusing on maximizing throughput and minimizing latency for advanced models. Mentor the team, collaborate on product features, and maintain expertise in GPU architectures and open-source projects.

Lead design, build, and operate secure, scalable cloud-native applications on Microsoft Azure. Architect solutions, implement backend services and REST APIs, use IaC and containerization (Docker/Kubernetes), collaborate with cross-functional Agile teams, support CI/CD and monitoring, and maintain technical documentation.

The Lead Software & Data Architect will lead software architecture efforts, engage in hands-on coding, mentor teams, and collaborate with stakeholders to deliver complex IT solutions.