…Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next-generation AI product solutions that power our merchant…

…subscription management (Alexa integration) - Predictive payment orchestration using ML/AI - Blockchain and cryptocurrency recurring payment solutions - Embedded finance solutions for third-party merchants Your…

…The Applied AI team at Uber is a multidisciplinary team of ML Engineers, Applied Scientists, Backend Engineers, Mobile Engineers and AI Product Managers responsible…

…The Applied AI team at Uber is a multidisciplinary team of ML Engineers, Applied Scientists, Backend Engineers, Mobile Engineers and AI Product Managers responsible…

…client management and cross-functional collaboration. - Ability to translate technical capabilities into business value - Fluency in insights products and statistical or ML models, with…

…management experience, ideally within a SaaS or B2C environment You have 2+ years of experience building data products, analytics features, or AI/ML solutions…

…Build net new data products aimed at improving analytic and reporting capabilities Partner with Product Managers and Product Marketers on pre-launch hypotheses , beta…

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world…

…Engineer focused on Fraud & Abuse, you will design, build, and operate production ML decision systems that reduce payment fraud, account takeover, identity abuse, merchant…

…AI technologies, comfortable with ambiguity, and willing to challenge the status quo. This position requires collaboration with software engineers, product managers, technical program managers…

…managers, data scientists, and designers to ensure AI-driven systems deliver meaningful, user-facing improvements. Stay at the forefront of ML and AI innovation…

…2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development…

…GPU, RDMA & High-Performance Networking - Experience supporting GPU-based infrastructure and AI/ML networking environments. - Knowledge of RDMA technologies and lossless network architectures. - Hands…

…Enjoy working across disciplines — with relevance engineers, ML practitioners, product managers, and designers — to deliver experiences that are greater than the sum of their…

…Experience partnering with engineering and data science to deliver AI/ML-powered product features from discovery through launch and iteration for internal and/or…

…Define success metrics and maintain accountability from conversion through expansion, including pipeline generated through AI-qualified leads. Partner with engineering, AI and ML, design…

…In this role, you will design and develop the observability platforms, reliability tooling, and AI-powered automation that empower WPC engineering teams to ship…

…12+ years of software engineering experience, including 7+ years leading engineering managers and multiple teams. Experience building and scaling high-performing engineering organizations. You…

…As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, and develop ML…

…ML, AI-assisted workflows, and GenAI where appropriate to improve metadata quality, merchant tooling, and operational efficiency. You’ll partner closely with Engineering Managers…

…with business, engineering and risk strategy teams so that financial losses, customer experience and business growth are well balanced Manage ML/AI model projects…

…Nice to have’s Experience building internal platforms for non-engineering audiences. Familiarity with AI-driven systems, LLM integrations, or evaluation pipelines. Experience working…

…merchants, connecting merchant intent with consumer demand across search and discovery experiences. As a Principal Engineer, you will lead the technical direction for AI…

…a Product Manager. You understand the nuances of the payments stack. Curious about AI infrastructure: You are not an ML engineer, but you follow…

…Drive major product and engineering initiatives * Build large-scale, low-latency distributed systems * Develop ML infrastructure and LLM-based AI workflows * Partner with our…