Top Remote Jobs in Baltimore, MD

As a Machine Learning Engineer, you will design, develop, and deploy ML solutions, optimize models for cloud and embedded systems, and collaborate with teams to integrate models into production. Responsibilities include creating scalable training processes and staying updated on ML advancements.

As a Senior Software Engineer, you will design and optimize high-performance systems for an AI-powered media platform, enhancing tools for video editing and streaming. Responsibilities include developing and debugging media processing systems, mentoring team members, and collaborating with AI teams to integrate media features.

As a Senior Salesforce Developer at Airtable, you'll architect and optimize Salesforce and CPQ solutions. Responsibilities include designing scalable applications, mentoring junior developers, conducting unit testing, creating technical documentation, and enhancing system efficiency. You will collaborate closely with stakeholders to implement innovative technical solutions that align with business goals.

As a Core Engineer at FLASH, you'll develop scalable APIs and services primarily using Ruby on Rails and sometimes Go. Your work will involve complex pricing models and transaction processing, alongside collaboration with teams to digitize access to parking and EV charging facilities.

As a Full Stack Software Engineer, you will develop and maintain CardFlight's web products, collaborate with various teams, and drive technical innovation while ensuring high-quality, scalable applications. In addition, you'll support technical issues faced by the operations team, contributing to a culture of continuous improvement.

The Software Engineer ll, Full Stack role involves building and maintaining software to improve patient outcomes through AI-powered pathology. Responsibilities include solving coding problems, developing and enhancing features, collaborating with various teams, and upholding high engineering standards while mentoring others.

The Senior Principal, Data Owner will oversee the management and monetization of data assets for capital markets, conduct market research, execute contracts, collaborate with business leaders, and identify opportunities to commercialize data. The role requires strong analytical and stakeholder management skills to drive data initiatives and address client needs.