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The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing personalization projects and collaborating closely with product and modeling leads. The role includes mentoring engineers, developing prototypes, managing communication with senior leadership, and driving AI strategies to enhance product features and improve customer experiences.
As an AI Scientist, you will drive new projects to advance AI models for biology, impacting drug discovery and clinical development while collaborating with experts in various fields. You will develop and implement deep learning methods and have a strong track record in AI innovation.
The Senior Lead Architect in the Merchant Payments team will drive the development of high-quality architecture for software applications, engage with stakeholders for design discussions, define product strategy and roadmap, lead evaluation sessions, and implement creative solutions to enhance operational stability.
As a Senior Product Associate in Machine Learning and AI, you'll drive product development by leveraging user research, analyzing metrics, and collaborating with diverse teams. You'll identify new product opportunities, manage the product lifecycle, and enhance customer experiences with innovative solutions. Your role involves refining strategies to improve self-service and reducing customer contact volume.
The Senior Distinguished Engineer in Platform Operations at Capital One will oversee AI and ML platforms, set strategies for cloud operations, and lead infrastructure management to ensure performance and compliance. The role involves collaboration with engineering teams, implementation of best practices, and mentoring staff to create a high-performing operations team.
As a Senior Lead Architect within the Merchant Payments team, you will develop high-quality architecture solutions, guide evaluations of current and emerging technologies, build target state architecture, and provide technical direction to support business and its technical teams.
As the AI/ML Risk Guide for the Enterprise AI/ML Program, you'll manage various risk-related deliverables, work across teams, develop risk mitigation plans, and maintain senior-level communications to enhance operational safety and compliance for Capital One.
As a Manager in Cyber Risk & Analysis, you will oversee risk management for emerging technologies and collaborate across teams to enhance customer experience. Responsibilities include developing risk strategies, managing deliverables, and improving risk management approaches within a dynamic environment.
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As a Senior Software Architect, you'll lead software architecture design teams, enhance modeling and simulation capabilities, and influence stakeholders in modernizing workflows. Engage with users to refine requirements, mentor team members, and drive strategic planning for software development and analysis projects in support of space programs.
The Senior Distinguished Engineer will lead and optimize Capital One's Machine Learning and AI platform operations. This role focuses on mentoring engineers, fostering diversity and inclusion, and driving the adoption of innovative engineering practices to meet business needs.
As a Senior Lead Software Engineer in the Performance Engineering team, you will enhance application performance through rigorous testing and development, provide technical guidance, and influence architectural decisions while fostering a culture of diversity and inclusion.
The Senior Product Delivery Associate will lead the development of a Knowledge Management platform using AI and ML technologies, define the product roadmap, oversee data and project coordination, and collaborate with cross-functional teams to drive innovation and ensure compliance with regulations.
As a Technology Audit Manager, you will lead audit engagements for the Chief Data & Analytics Office, manage teams, evaluate internal controls, and provide insights to enhance risk management and governance. The role emphasizes collaboration with stakeholders and adapting to evolving industry standards, while utilizing innovative technologies.
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 Principal Software Engineer in AI Platform will be responsible for developing and maintaining scalable infrastructure for AI/ML training, monitoring resource utilization in multi-GPU environments, enhancing platform usability for data scientists, and collaborating with teams to integrate features and technologies.
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The Solution Architect for AI at Arrow will provide technical direction and guidance on AI solutions, focusing on design, development, and deployment within the AI Center of Excellence. Responsibilities include leading technical presentations, integrating AI algorithms, and collaborating with marketing teams to produce content related to AI technologies.
The Staff AI Implementation Engineer will implement AI products on the Now platform for early adopter customers, learn about new features, debug issues, and provide expert guidance on AI solutions. They will also collaborate with teams to enhance product capabilities based on customer feedback.
As a Software Engineer III (AI/ML) at Chewy, you will lead the design and development of AI/ML applications, mentor team members, and contribute to architectural decisions. Your role involves building large-scale AI platforms, providing technical guidance, and driving innovation through prototyping.
Lead the design, development, and deployment of software solutions utilizing AI and LLM technologies for drug development. Collaborate across teams to innovate features and ensure software performance and scalability. Rapidly prototype new ideas and act as an evangelist for AI within the organization.
As a Distinguished Engineer, you will lead innovation in banking technology, specializing in messaging systems for marketing and servicing. Responsibilities include designing scalable messaging infrastructure, driving integration with various platforms, optimizing performance, and ensuring security against threats. You will mentor talent and contribute to the engineering community.
The Senior Staff Scientist at IonQ will lead the development of quantum AI solutions, conduct research to discover new algorithms, and optimize hybrid applications on quantum computers. The role involves collaboration with PhD scientists and various teams while shaping long-term strategies for quantum AI application deployment.
The Principal Applied AI Scientist at Gusto will design, develop, and deploy innovative AI solutions, focusing on generative AI capabilities. Responsibilities include experimenting with multi-agent frameworks, improving LLMs, collaborating with engineering teams, and researching novel AI techniques, all aimed at enhancing customer experience.
As an Applied AI Scientist at ZS, you will develop advanced algorithms for solving complex problems, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to thought leadership through research. Your work will help identify trends and enhance analytical capabilities for clients.
As a Staff AI Implementation Engineer, you will implement AI products on the Now platform for early adopter customers, focusing on features like LLM-powered virtual agents and AI search. Your role involves learning about new and existing AI products, debugging customer issues, providing expert support, and collaborating with teams to enhance product capabilities.
As a Staff AI Implementation Engineer, you will implement AI products on the Now platform for early adopter customers. This includes hands-on work with products like LLM-powered VA Topic flows, conversational catalogs, and AI Search. You will become an expert in these solutions, debug issues, and act as a subject matter expert while providing product feedback to improve capabilities.
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