Top iOS Developer Jobs in Baltimore, MD

The Senior Mobile Software Engineer will develop and maintain the DrChrono EHR product, focusing on iOS app development with responsibilities in coding, testing, and mentoring team members.

As a Senior iOS Software Engineer, you will lead development on iOS features, enhance performance, and collaborate across teams. You’ll design, implement, and refine software solutions to improve user experiences at Reddit.

Join Speechify to enhance AI voice technology. Collaborate with researchers and deploy ML services, improving performance and stability across platforms.

The Software Engineer will work with ML researchers and engineers to deploy and operate AI services, optimize model performance, and improve production tools.

The Software Engineer will deploy and operate ML inference workloads, improve model performance, and address operational issues in a dynamic environment.

Responsible for deploying ML inference workloads, improving model performance, and collaborating with research teams to enhance user experiences on the AI Voices product.

As a Software Engineer, you will work with AI researchers to deploy models, improve performance, and deliver critical services.

As a Software Engineer at Speechify, you'll enhance AI Voice products, optimize ML pipelines, and improve deployment tools in a fast-paced environment.

Develop and optimize AI voice products by collaborating with teams, deploying ML workloads, and improving system performance for a seamless user experience.

Looking for a Senior iOS Software Engineer to enhance our mobile app for user experience. Requires expertise in Swift and shipping high-quality features.

The Senior iOS Engineer will lead engineering decisions, actively contribute to production code, and maintain the app architecture for Speechify's iOS app while collaborating with product teams.

Design, build, and maintain advanced iOS app features, collaborate with teams, and solve complex engineering challenges while ensuring high quality.

As a Senior Test Engineer, you will evaluate and enhance the quality of the iOS Games SDK, drive automation testing, collaborate with SDK engineers, conduct manual tests, and analyze operational data.

Lead development of the iOS app at Complex, focusing on performance, scalability, and integration with backend services. Collaborate on feature development and improve user experience.

In this role, you'll develop expertise in location technologies, design and lead development of core location systems, and improve app performance. You'll collaborate with cross-functional teams and optimize user experiences with innovative locations features.

Design and maintain iOS applications, collaborate with teams to deliver features, mentor junior engineers, and optimize performance.

The Senior Software Engineer will design and develop iOS applications, collaborate with product teams, advocate for best practices, and enhance user experiences in fantasy sports gaming.

The role involves designing and building mobile applications on iOS using Swift, ensuring app performance and quality, collaborating with teams, and maintaining code standards.

As a Senior iOS Engineer, you will design and integrate 3D experiences on iOS, solve architectural challenges, collaborate with teams, and optimize mobile capabilities.

The role involves developing and maintaining iOS client SDKs, collaborating with teams for integration, mentoring juniors, and ensuring the quality of mobile solutions in a fintech context.

The iOS Software Engineer will build innovative ad experiences for Reddit's app, collaborating across teams to develop and deploy sophisticated solutions effectively.

As a Software Engineer at Speechify, you will work with machine learning teams to enhance AI Voice functionalities, manage deployments, and improve model efficiency.

The Software Engineer will collaborate with ML researchers and product managers to enhance AI Voice services, ensuring efficient deployment and operation of models while addressing production issues.

The role involves collaborating with ML researchers to deploy AI voice models, optimize performance, and improve production infrastructure.

Collaborate with ML researchers and engineers to deploy AI Voices, enhance model performance, and address operational issues in production services.