Top Software Engineer Jobs
The Staff Software Engineer will integrate emerging AI technologies and build proprietary developer tools to enhance member experiences at Spring Health. Responsibilities include collaborating in a team, mentoring engineers, and providing technical direction to the organization.
As a Senior Software Engineer at Spring Health, you'll integrate AI technologies into member experiences, build developer tools, and innovate on feature roadmaps. You'll be a technical leader, collaborating with engineers, PMs, and designers to deliver high-quality experiences efficiently while mentoring team members.
As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.
The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.
The Senior Director of Data will lead a multidisciplinary data organization focused on analytics, data infrastructure, and AI initiatives. Responsibilities include building data strategies, managing a team of data professionals, and ensuring effective use of customer data while partnering across the organization to optimize product features.
The Generative AI Engineer will lead the development of generative AI solutions, design and implement chat experiences, develop backend code in Python and Java, and ensure quality, stability, and performance of chatbot functionalities while collaborating with cross-functional teams.
The Senior Data Scientist will collaborate with a cross-functional team to design, develop, and deploy analytic models and high-impact data solutions in motorsports, leveraging machine learning and AI to support race teams. Responsibilities include analyzing and preprocessing diverse data, building predictive models, and presenting findings through visualization techniques.
The role involves coordinating with government and contractor teams to implement AI/ML technologies in space systems. Responsibilities include identifying opportunities in acquisitions, developing governance strategies, and enhancing infrastructure for optimized utilization of AI/ML. The engineer will facilitate communication with stakeholders and support various phases of system integration and testing.
Featured Jobs
As a Software Engineer, you will develop and maintain scalable interfaces for AI/ML tools, ensuring integration with user-facing applications. Responsibilities include collaborating with cross-functional teams, designing APIs and microservices, implementing software development best practices, and troubleshooting existing systems to enhance performance.
The GenAI Solution Architect will lead the development and delivery of AI Lighthouse engagements, driving customer adoption of GenAI products, and managing roadmaps for Generative AI technology. Responsibilities include analyzing market trends, communicating insights to stakeholders, and enhancing customer satisfaction through innovative tech solutions.
The Lead Quality Engineer for AI/ML is responsible for developing and executing automated testing frameworks for language models, assessing output quality and performance, maintaining testing tools, and collaborating with cross-functional teams to ensure model reliability and effectiveness in customer interaction scenarios.
In this role, you will work with a cross-functional team to design, develop, and deploy AI software for banking applications. Responsibilities include leveraging AI technologies, optimizing large language models, and contributing to the technical vision of foundational AI systems at Capital One.
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The Senior Software Engineer will design, develop, and maintain scalable software solutions, collaborate with teams to gather requirements, and ensure code quality. Responsibilities include managing code repositories, troubleshooting issues, and integrating applications with external services.
The Senior Director of Engineering, AI/ML will lead a team of ML Engineers and Data/ML Scientists to develop, scale, and integrate AI models into Workiva's platform. This role involves overseeing the architecture of AI systems, aligning AI initiatives with business goals, fostering innovation, and ensuring ethical AI use.
As a Senior AI Engineer at Capital One, you will collaborate with cross-functional teams to develop and deploy AI software components, including foundation model training and large language model inference. You will contribute to technical vision and optimize large-scale AI systems while ensuring the responsible application of AI.
As Director of AIDA R&D AI & Data Solutions Engineering at Pfizer, you will lead the data solutions engineering team, drive the development of innovative R&D data solutions, and oversee complex projects. You'll manage resources, ensure data security and compliance, and establish best practices in collaboration with stakeholders to optimize data storage and processing.
The Director of AIDA R&D AI & Data Solutions Engineering will lead the R&D data solutions engineering team, focusing on designing and implementing innovative data solutions. Responsibilities include managing high-complexity projects, promoting data security, collaborating with stakeholders, and establishing a culture of continuous improvement.
The Director will lead the R&D data solutions engineering team, managing high-complexity projects and driving the delivery of innovative data solutions. Responsibilities include overseeing data architecture and engineering practices, promoting data security, and collaborating with various stakeholders to meet business goals, while fostering a culture of continuous improvement.
As an AI Engineer at Capital One, you'll design, develop, and support AI software components, partner with cross-functional teams to deliver AI-powered products, and contribute to the technical vision and roadmap of foundational AI systems.
The Staff AI Engineer will design and enhance machine learning inference services for Cash App's Financial Crimes Technology team, focusing on optimizing operations and integrating AI/ML best practices. The role involves collaboration with cross-functional teams and requires leadership in driving strategic initiatives and prototyping new tools for modelers.
The Senior Cloud Engineer will support the U.S. Department of Homeland Security by managing multiple AI-related projects, developing performance metrics, collaborating across teams, assisting in the development of reports and briefings, conducting research, and driving customer mission priorities. A strong background in cloud technologies and AI is essential.
The Senior Manager, AI Engineer at Capital One leads a team in delivering AI-powered products by designing, developing, testing, and deploying AI software components. They collaborate with cross-functional teams and leverage advanced AI technologies to optimize large-scale AI systems, and contribute to the long-term technical vision for foundational AI systems.
Lead the development of AI-powered products at Capital One by partnering with cross-functional teams. Responsibilities include designing, developing, and deploying AI software components, leveraging various AI technologies, and contributing to the technical vision of foundational AI systems.
The AI/ML Scientist Manager will lead the deployment of AI solutions, ensuring best practices in model operationalization. Responsibilities include framework development, collaborative implementation with Data Scientists, team leadership of ML engineers, managing ML operations with ML Flow, and overseeing CI/CD pipelines.
The role involves leading and mentoring a team of ML engineers, developing frameworks for AI model deployment, assuring code quality through CI/CD processes, and collaborating with various stakeholders to transition AI PoCs into production applications. A strong emphasis is placed on operationalizing AI models and maintaining best practices in machine learning operations.
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