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.
As a Senior Software Engineer on the Graykey Platform team, you will play a key role in developing and maintaining the foundational Linux-based OS platform and core services that power Magnet’s Graykey product. You'll help shape the growth and scalability of both the platform and broader engineering efforts by enhancing the CI/CD pipeline for more efficient and reliable build and deployment processes. Most importantly, you'll contribute to a mission-driven product that plays a critical role in public safety and literally saves lives.
As a Staff Machine Learning Engineer, you will spearhead our ML and AI product development, using your expertise to design, implement, and maintain sophisticated ML systems. You'll lead architecture, develop evaluation frameworks, and create novel product experiences, guiding others through technical leadership. Rigorous technical critique and effective communication of business impact are musts.
The Auto Labeling team at Stack develops large ML models to generate high-quality labeled data, essential for training and evaluating Stack's onboard perception models. The models leverage state-of-the-art multi-sensor fusion techniques, integrating data from lidars, cameras, radars, and IMUs. Significant design contributions and collaboration with onboard and offboard consumers of labeled data are expected.