Top Remote Software Engineer Jobs in Jacksonville, FL

As a Senior Platform Engineer II, you will build and maintain infrastructure for scalable applications, focusing on AWS technologies and containerization. You'll collaborate with stakeholders to translate requirements into technical specifications and continuously improve infrastructure, ensuring stability and security.

The Sr. Project Engineering Leader will oversee an engineering design team for a large biotech laboratory project. Responsibilities include managing project phases, collaborating with stakeholders, ensuring design compliance and quality, securing regulatory compliance, and maintaining client relations throughout the project lifecycle.

The successful candidate will lead the engineering design team for a large healthcare facility, overseeing project phases, managing communications with clients, ensuring compliance with regulations, and providing technical guidance. They will also manage budgets and resources, coordinate with various stakeholders, and ensure quality control throughout the project lifecycle.

The Computational Designer will develop and implement design automation tools, collaborating with clients and internal teams to standardize processes and enhance firm capabilities. Responsibilities include leading educational initiatives, exploring new technologies, and driving research into emerging design methodologies in the AEC industry.

As a Senior Backend Engineer at Symbl.ai, you will develop and maintain backend systems, particularly for the Nebula platform. Your role involves collaborating with teams to create high-performance solutions, troubleshooting technical challenges, and contributing to API and microservice evolution while utilizing your expertise in backend engineering and machine learning.

As a Machine Learning Engineering Intern at Symbl.ai, you will collaborate on the Nebula LLM, develop machine learning algorithms, and tackle real-world challenges in language technology while gaining practical experience.

As a Machine Learning Engineer specializing in Infrastructure and Operations, you will optimize and scale AI systems, deploy ML models, and ensure data security and compliance while maintaining a robust infrastructure. You'll collaborate with data scientists, implement automated workflows, and troubleshoot infrastructure-related issues.

The Senior Applied Scientist will leverage generative AI and machine learning to tackle complex business challenges at Wellth. Responsibilities include researching current operations, building prototypes for optimizing member experience, deploying generative AI solutions, and collaborating with product and engineering teams. The role aims to significantly scale Wellth's health rewards program while improving health outcomes for many.

As a Staff Data Engineer, you will design and implement scalable healthcare data systems and analytics, collaborating across teams to support the company's mission. Responsibilities include developing data pipelines, ensuring data quality, mentoring other engineers, and creating data tools for impactful insights in healthcare outcomes.

As an Engineering Manager at Wistia, you will lead the engineering team to build and maintain essential platform products, manage complex software projects, and collaborate with product and design teams. Your role involves setting technical direction, guiding engineers, contributing to key work, and ensuring reliability in production.

The role involves building a digital platform for medical professionals, where the engineer will code features, discover solutions to problems, troubleshoot issues, suggest engineering focus areas, and help establish team culture and standards.

As an AI Engineer, you will develop AI features, manage data curation and processing, fine-tune LLMs, evaluate model performance, and provide technical leadership on best practices in AI and LLM integration.

The Lead Android Engineer will develop and enhance an existing Android app, working on new features at a fast pace in collaboration with designers and product managers. The role includes ensuring a solid technical foundation while providing a splendid user experience.

As a Senior ML Infrastructure Engineer, you will design and maintain ML pipelines, implement CI/CD processes, and manage production infrastructure for machine learning models. You will work collaboratively with data scientists and engineers to ensure seamless integration of models, optimize performance, and automate data management, all while ensuring scalability and reliability of the infrastructure.