Top Software Engineer Jobs
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.
The AI Cyber Defense Engineer strengthens the Cyber Defense Operations team by leveraging AI to counter emerging cyber threats, particularly those involving adversarial techniques. Responsibilities include conducting research, developing AI-driven solutions, collaborating with teams, and enhancing operational capabilities while monitoring trends in AI-related threats.
As a Senior Product Associate, you'll manage the lifecycle of AI/ML products, ensuring smooth deployment and scalability. Responsibilities include leading product lifecycle activities, overseeing testing, developing project plans, and establishing standardized methods for the product lifecycle. You will also collaborate with stakeholders and communicate technical concepts effectively.
The Vice President will oversee regulatory examinations related to the Chief Data and Analytics Office, collaborating with senior leaders and regulators, managing reports, and driving resolutions for regulatory issues across the firm.
The Vice President of Business Development will drive growth in the Data & AI practice by developing go-to-market strategies, qualifying and closing multi-year engagements, and leveraging relationships with platform partners and sales professionals. This role focuses on data modernization, analytics, digital transformation, and implementing data-driven solutions.
As a Machine Learning Engineer, you will create and adapt models using LLMs for diverse challenges, promote new features, evaluate technical tradeoffs, conduct code reviews, and contribute to building scalable and robust products, focusing on high code quality.
The Manager - AI/ML Engineering will develop and execute strategies for machine learning applications, lead a team, align AI/ML projects with business goals, and promote best practices. The role requires a hands-on leader to mentor and guide the team while building partnerships across the organization for effective integration of AI/ML models.
Featured Jobs
The AI Integrations Software Engineer will integrate AI models into existing Vetcove products, optimizing user experience and enhancing features with Python and Django. Responsibilities include evaluating AI models, developing new features, testing performance, and collaborating with the engineering team.
Act as a senior technical authority and consultant in aerospace engineering, leading teams, coordinating technical efforts across projects, mentoring junior staff, and establishing communication with customers. Oversee budgets and resource allocation to accomplish objectives and contribute to new business planning.
As a Data Science Manager, you will lead a team to develop innovative credit and lending models, enhance financial inclusion, and improve risk assessment. You will drive cross-functional initiatives, manage advanced machine learning projects, and ensure compliance with legal standards while aligning with Chime’s business goals.
The role involves productionizing machine learning applications, participating in technical design and development, solving complex problems with code, collaborating in an Agile team, and ensuring best practices in ML and AI governance. Responsibilities include model development, deployment, maintenance, and monitoring.
The Senior Manager of Machine Learning Engineering will lead a team dedicated to developing machine learning applications and systems at scale. Responsibilities include designing and implementing ML architectural designs, reviewing model and application code, and ensuring high availability and performance. The role requires collaboration with cross-functional teams, maintaining models in production, and adhering to best practices in machine learning engineering.
As a Senior Lead AI Engineer at Capital One, you will design and develop AI software components, collaborate with cross-functional teams, introduce LLM optimization techniques, and contribute to the technical vision of foundational AI systems.
As a Senior Lead AI Engineer, you will partner with cross-functional teams to deliver AI-powered products, design and develop AI software components, leverage various AI technologies, and contribute to the technical vision of foundational AI systems at Capital One.
As a Senior Lead AI Engineer, you will collaborate with engineers and scientists to design and implement AI software, drive product innovation, and enhance AI systems' performance at Capital One. This role involves developing scalable AI solutions and applying cutting-edge research techniques to enable transformative customer experiences.
As a Senior Lead AI Engineer at Capital One, you will partner with cross-functional teams to design, develop, and support AI software components. Your responsibilities include deploying state-of-the-art AI models, utilizing a variety of open-source and SaaS technologies, and contributing to the long-term vision of foundational AI systems.
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 Lead AI Engineer at Capital One, you'll spearhead the development of AI-powered products, working with cross-functional teams. Responsibilities include designing and deploying AI software components, using advanced technologies, optimizing large language models, and shaping the technical vision for foundational AI systems.
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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The AI Implementation Engineer will provide technical leadership in deploying IBM AI solutions within the Arrow Solutions Lab. Responsibilities include leading design, development, and deployment of AI solutions, optimizing AI models, and collaborating with various teams to drive innovation and best practices in AI adoption.
As a Machine Learning Engineer at GitLab, you'll design and implement evaluators for LLM assessment, build scalable evaluation pipelines, manage datasets, and collaborate with other teams to ensure AI feature quality. Your role involves optimizing ML evaluation systems and aligning solutions with GitLab's infrastructure.
The Principal Data & AI Enterprise Architect leads the creation and implementation of data and AI strategies, aligning them with business objectives while ensuring scalability and security. This role involves collaboration with various teams to drive AI integration and oversee architectural design in AI/ML projects to enhance operational efficiency and customer experience.
The Principal Data & AI Enterprise Architect will define and design enterprise data and AI architecture, aligning initiatives with business goals. Responsibilities include leading AI and ML strategies, implementing frameworks, ensuring compliance, and collaborating with cross-functional teams to enhance operational efficiency through AI-driven solutions.
The Principal Data/AI Enterprise Architect will lead the design and implementation of data and AI architecture across the enterprise, ensuring alignment with business goals and focusing on scalability, security, and innovation. Responsibilities include developing data and AI strategies, overseeing AI/ML project frameworks, and collaborating with cross-functional teams to enhance operational efficiency and customer experience.
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