As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
This role involves leading a team of experienced engineers to develop and maintain core machine learning infrastructure, including distributed model training, LLM hosting, and scalable deployment systems. You will drive technical direction and integrate advanced ML capabilities into high-stakes systems within a deeply technical environment.
Design and operate software managing large-scale GPU clusters for ChatGPT inference, building automation and observability systems to improve fleet efficiency, reliability, and developer productivity. Work across infrastructure, research, and product teams to optimize compute utilization and build AI-powered operational tooling.
This role involves hands-on experience in resolving technical issues, analyzing system performance, and supporting troubleshooting for enterprise software. You will work with cloud-based applications, modern technologies, and gain exposure to AI, ML, NLP, and cybersecurity, while receiving structured mentoring and career development.
This role involves building and maintaining data-intensive, AI-powered applications and infrastructure to protect users from high-severity harms. You will work closely with operators and investigators, developing systems that enable efficient and responsible handling of sensitive content.
This role involves developing and integrating AI models for machine vision applications, focusing on software development, model training, and performance optimization. You will work with C++, C#, and Python, and collaborate with the team to deliver reliable solutions.
Develop and optimize AI-driven video processing systems using Python and related technologies, focusing on scalable media delivery and low-latency streaming. Work across cloud-native infrastructure and immersive content platforms, integrating AI and video processing pipelines. Collaborate on real-time and batch processing solutions with exposure to GPU-accelerated frameworks and containerized environments.
In this role, you will develop core modules for an engineering design platform, integrate them into a cloud compute environment, and streamline complex engineering processes through high-quality automation. You will work in a fast-paced, innovative environment with a focus on solving unique challenges and pushing the boundaries of high-performance component design.
This role involves developing and integrating AI models for machine vision applications, focusing on software development, model training, and performance optimization. You will work with C++, C#, Python, and machine learning frameworks to create robust and reliable solutions.
This role involves building and owning core platform capabilities, developing full stack applications using Python, React, and TypeScript, and integrating AI and LLM-powered workflows into production environments. You will collaborate closely with Product Managers, Data Scientists, and business stakeholders to translate ambiguous business problems into scalable software solutions.
This internship offers hands-on experience working as part of a software engineering team at a fast-paced AI company. You will be mentored by experienced engineers and contribute to real projects, gaining valuable insights into the legal technology sector.
This role involves building and deploying full-stack applications that integrate AI-driven physics simulation models to solve complex engineering problems for clients across aerospace, energy, automotive, and other advanced industries. You'll work closely with customers on-site and collaborate with data scientists and engineers to design, prototype, and iterate tools that transform engineering workflows. The position emphasizes end-to-end ownership, rapid development, and translating real-world engineering challenges into impactful software solutions using modern cloud-native technologies.
Design and build end-to-end applications that integrate AI-driven physics models into real-world engineering workflows. Collaborate with customers and technical teams to prototype, deploy, and iterate tools that solve complex engineering challenges across industries like aerospace, energy, and semiconductors. Work across the full stack with a focus on backend services, cloud infrastructure, and customer-driven product development.
As a Software Engineer in Faculty's National Security and AI Safety team, you will build and deploy production-grade machine learning systems, collaborate with cross-functional teams, and ensure the technical feasibility and impact of AI solutions. You will work on high-stakes, high-impact projects, focusing on AI safety and responsible development.
Design and build scalable Python libraries and tools that support machine learning workflows for autonomous driving systems. Focus on creating reliable, modular abstractions for data loading, distributed training, and model evaluation used by ML engineers and researchers. Work closely with ML teams to improve the performance and usability of training infrastructure across large GPU clusters and cloud environments.
As a Software Engineer Intern, you will work on building user-facing products, scaling API platforms, designing data pipelines, and implementing scalable services. You'll have the opportunity to contribute to high-impact projects and collaborate closely with experienced team members.
