As an MLE II / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building.
The Financial Services Division (FSD) Engineering team is seeking an Engineering leader to excel in a non-traditional environment, utilizing the latest in Cloud and Big Data analytics. As the Senior Manager of Software Engineering, you will lead the development and operations of our real-time API platform, a critical component powering mission-critical integrations across our ecosystem. You will manage a high-performing team responsible for designing and scaling APIs.
You will rapidly build trust with clients, demonstrating technical expertise and understanding of their domain. You will guide technical direction, solve complex problems, and demonstrate best practices while engaged within the codebase. You will also advise clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes.
Serve as a key member of Shield AI's Special Projects team, an elite force within the office of the CTO, driving technology development and strategic alignment across the organization. Design and prototype generative AI experiences focused on accelerating autonomy development, lead user experience design, and enhance the user experience of Hivemind products through user research and competitive analysis.
Solve complex problems and work on products used by millions, designing scalable, maintainable, high-performance front-end solutions. Ensure an exceptional user experience, own key systems, and drive continuous improvement. Unblock and support partners to achieve results. Learn and develop your skills alongside peers and mentors using TypeScript, Next.js, React/Redux, Three.js Python, Django, PostgreSQL, and AWS.
Design and implement scalable microservices using Python. Develop and maintain RESTful APIs that integrate with Blazor frontends. Ensure high code quality through unit testing, code reviews, and documentation. Work with Azure cloud services for deployment, monitoring, and scaling. Collaborate with frontend, DevOps, and product teams to deliver seamless integrations. Optimize performance and scalability of services.
We are seeking an experienced Senior Staff Machine Learning Engineer to join our dynamic team and take a leading role in developing cutting-edge machine learning systems that drive business growth. As a key technical contributor, you will drive the development, deployment, and scalability of machine learning models in a production environment, ensuring they deliver value and performance at scale. You will collaborate closely with data scientists, product teams and engineers to implement state-of-the-art solutions that power our products and services through continuous innovation.
As a Senior Software Engineer on the Governance team, you will actively contribute to a swift software release cycle. You will lead key projects, provide technical guidance, collaborate with product and design, and mentor junior engineers, directly contributing to the growth and evolution of our platform. You will collaborate closely with Product Managers and Designers to define requirements and drive product development from conception to launch.
As a Software Engineer II on the Loan Originations & Reporting team, you will break down projects into individual tasks, deliver them in phases, and collaborate with others. You'll support stakeholders by collaborating with product management, design & analytics, and participating in ideation. Activities include creating and monitoring metrics, escalating when needed, and supporting on-call efforts.
We are seeking a highly motivated senior software engineer to lead large, strategic, and complex projects. You will lead, mentor engineers, and help architect scalable solutions. Challenges include building scalable systems and designing new product features, collaborating to take an idea from concept to implementation.