Top Software Engineer Jobs

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 Engineering Director for the Growth Platform at Grammarly will lead the team responsible for designing and maintaining scalable growth systems focused on user acquisition, retention, and monetization using ML and AI. Responsibilities include defining technical strategy, platform development, managing stakeholders, and executing on a roadmap.

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.

The Director, AI Engineering will lead a team responsible for building Generative AI products and prototypes at McDonald's. This role entails mentoring engineers, driving project delivery, ensuring customer success, and fostering innovation in AI technologies while collaborating across global functions.

The Executive Director of Data Engineering and Governance will lead data engineers and governance analysts in designing and overseeing technology architecture for data management. Responsibilities include implementing data governance frameworks, managing data quality processes, and collaborating with data owners to establish critical data elements. This role also involves directing the use of AI and machine learning for data cleansing and organization, while aligning technical solutions with business strategy and goals.

The Executive Director, Data Engineering & Data Governance will lead a team of data engineers and analysts to develop and implement technology solutions for data management and governance. Responsibilities include establishing data quality processes, building data structures, and using AI and machine learning to enhance data handling. This role also involves cross-functional collaboration, project management, and development of business strategies to improve operational efficiency.

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 AI Transformation Lead drives and oversees strategic AI and Machine Learning initiatives to enhance efficiency, optimize operations, and unlock new revenue opportunities. Responsibilities include leading transformation projects, advising senior stakeholders, implementing AI use cases, and collaborating with cross-functional teams.

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.

As a Senior Lead AI Engineer at Capital One, you'll design, develop, and deploy AI software components while collaborating with a cross-functional team to deliver AI-powered products. You'll leverage various AI technologies, contribute to technical vision, and implement optimization techniques for large-scale production AI systems.

As a Senior AI Engineer at Capital One, you'll design, develop, and support AI software components, collaborate with cross-functional teams, and improve large scale production AI systems using innovative LLM optimization techniques. You'll play a key role in advancing AI technology to enhance customer experiences and internal efficiencies.

As an AI Engineer at Capital One, you will collaborate with a team to design, develop, and deploy AI solutions. Responsibilities include creating AI software components, optimizing large language models, and driving AI advancements. You'll leverage open-source technologies and cloud platforms to improve customer interactions and deliver high-quality AI systems.

The Lead AI Engineer at Capital One will design, develop, test, and support AI software components, working with a cross-functional team. Responsibilities include training models and optimizing AI systems while collaborating with partners to enhance product experiences through AI technology.

The Senior Manager, AI Engineer will lead cross-functional teams to design, develop, and deploy AI-powered products, enhancing customer interactions and internal processes. Responsibilities include developing AI components, utilizing open source AI technologies, and optimizing AI systems for performance. The role demands a strong technical foundation and the ability to innovate within the AI space.

The Distinguished AI Engineer will develop AI-driven products, collaborating across teams to create scalable and responsible AI systems. Responsibilities include designing and deploying AI software components, training foundation models, and optimizing AI solutions for performance and cost.

In this role, you will lead cross-functional teams to design, develop, and oversee AI-powered products at Capital One. You'll focus on building and deploying AI software solutions, optimizing performance, and mentoring your team. Your contributions will help advance AI capabilities to enhance customer experiences and streamline banking operations.