Jobs at Simplicity Group

This full-time Senior Accountant role supports financial reporting and regulatory filings for a fast-growing, tech-forward insurance organization specializing in retirement products. Reporting directly to the Controller, the position involves preparing US GAAP-compliant financial statements, managing monthly close activities including journal entries and reconciliations, and assisting with audits while maintaining internal controls. The role appeals to candidates seeking a collaborative environment within a dynamic team that values simplicity and transparency. The company offers remote flexibility for East Coast residents and provides opportunities for professional growth in a modernizing financial services sector.

This Level 2 Desktop Technician role provides hands-on technical support and hardware remediation across office, manufacturing, and warehouse environments. The position involves diagnosing and repairing desktop and laptop systems, managing user accounts in Active Directory and Azure, and deploying devices for onboarding and offboarding. Key responsibilities include resolving IT tickets, supporting production-floor technology, and maintaining network connectivity across multiple buildings. The role appeals to candidates seeking a dynamic environment with opportunities for career growth within a leading security and payment card manufacturer. The position requires onsite presence at five locations, a personal vehicle, and participation in a rotating on-call schedule to support 24/7 operations.

The Senior Technical Recruiter role at Unissant, Inc. leads full-cycle hiring for highly cleared technical talent supporting critical missions within the Department of War, Intelligence Community, and Department of Homeland Security. Key responsibilities include building robust pipelines for software engineering and cybersecurity professionals with TS/SCI clearances, guiding candidates through complex security processing and polygraph requirements, and partnering with program leaders to execute targeted sourcing strategies. This hybrid position based in Herndon, VA, offers the appeal of working on high-impact national security projects within a collaborative environment that values innovation and collective intellect. The role provides opportunities for professional growth through engagement with senior stakeholders and participation in specialized industry events.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while contributing to a culture of responsible AI innovation. The team collaborates cross-functionally to deliver high-impact products, offering opportunities for technical growth and shaping the future of AI systems in a major financial institution.

This senior distinguished engineering role focuses on architecting and scaling foundational compute infrastructure for Capital One's enterprise AI and machine learning platform. The position involves designing highly available, multi-tenant systems using distributed frameworks like Ray and Spark, while optimizing performance for large-scale model training and inference workloads. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects involving generative AI and transformer models. The role appeals to technical leaders seeking to shape the future of responsible AI in banking, offering the opportunity to mentor talent, influence system design, and work within a collaborative culture that values innovation. This position is eligible for remote work, allowing engineers to contribute to high-impact technology solutions from anywhere.

This Lead AI/ML Engineer role within the Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure and platforms at Capital One. Key responsibilities include designing and deploying large language model systems, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools using technologies like Kubeflow and PyTorch. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. The role offers the opportunity to shape the long-term technical vision for AI while working in a collaborative environment that values innovation, quality, and the mission to transform banking for good.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to solve undefined problems in a collaborative environment that values technical excellence and innovation. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and low latency. The position requires collaborating with cross-functional teams to integrate advanced technologies like PyTorch and vector databases while contributing to the long-term technical vision of the organization. The role is appealing for its opportunity to lead breakthrough product experiences that transform banking, offering a culture that values innovation, technical excellence, and responsible AI deployment. The position is based in major hubs including Cambridge, McLean, or New York.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while leveraging technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include collaborating with cross-functional teams to deliver scalable AI products, conducting high-impact research on emerging technologies, and translating complex technical concepts into tangible business solutions. The role appeals to candidates seeking to work at the forefront of AI innovation in a collaborative environment that values creativity, leadership, and ethical decision-making. It offers the opportunity to drive the next generation of customer interactions through cutting-edge machine learning research and engineering.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build and deploy large-scale foundation models, utilizing technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include managing the full research lifecycle from design and training to evaluation and implementation, while translating complex technical concepts into tangible business value. The role appeals to candidates passionate about pushing the boundaries of machine learning and deep learning, offering the opportunity to work on high-impact projects that redefine customer interactions. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco, providing a collaborative environment dedicated to innovation and ethical AI development.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing multi-agent systems and knowledge graph technologies to transform banking operations. The position involves building scalable AI architectures using frameworks like LangGraph and MCP, designing foundation models from design through implementation, and collaborating with cross-functional teams to deliver intelligent customer experiences. The role appeals to candidates passionate about pushing the boundaries of AI research, offering the opportunity to work with cutting-edge tools on high-impact problems that redefine software development and customer service. The position requires a strong engineering mindset to deploy models at scale and supports a culture of innovation where emerging technologies are continuously evaluated and applied to real-world business challenges.

The Applied Researcher I role is based within the AI Foundations team at Capital One, focusing on developing trustworthy and reliable AI systems for the banking sector. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning to reimagine customer experiences. It offers a collaborative environment where researchers can own their agendas and work on high-impact projects that combine academic rigor with real-world application.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale artificial intelligence systems to transform banking experiences. The position involves partnering with cross-functional teams to build AI foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art projects that directly impact customer interactions. It emphasizes a culture of innovation, leadership, and continuous learning within a collaborative environment dedicated to trustworthy and reliable AI.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable GenAI platforms, including LLM core and agentic systems. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position offers the appeal of working at the forefront of applied science to transform banking, with a collaborative culture that encourages innovation and the application of cutting-edge research. The role requires deep technical expertise in Python and cloud infrastructure to solve undefined problems and deliver high-impact customer experiences.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy and scalable artificial intelligence systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, leveraging technologies like PyTorch and AWS to analyze vast datasets, and collaborating with cross-functional teams to deploy AI solutions into production. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact research that directly influences customer interactions. The role emphasizes a culture of innovation and ethical AI development, providing a platform to lead research agendas and solve undefined problems in a collaborative environment.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building an enterprise Generative AI platform for agentic workflows. The position involves designing the core framework for agent orchestration, developing shared services like memory and guardrails, and standardizing patterns across major frameworks to ensure scalable, production-grade applications. Key responsibilities include creating developer tools such as SDKs and CLI kits to accelerate prototyping, implementing trust and safety measures to prevent incidents, and optimizing system performance for multi-tenant environments. The role appeals to senior engineers seeking to lead high-impact innovation in responsible AI, offering the opportunity to mentor staff-level engineers, influence cross-functional architecture, and represent the company at major industry conferences. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing state-of-the-art research in production environments, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters while driving meaningful change in customer experiences. It offers a collaborative culture that values innovation and technical excellence, with a hybrid work arrangement based on the specific location.

This full-time Distinguished AI Engineer role is based remotely within Capital One's Intelligent Foundations and Experiences team, focusing on building responsible and scalable AI systems for the banking sector. The position involves designing and deploying large-scale AI components such as foundation model training, LLM inference, and guardrails while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to improve system performance and contributing to the long-term technical vision for foundational AI. The role appeals to candidates seeking to lead cross-functional teams in a culture that values innovation, technical excellence, and the mission to transform banking through technology.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who enjoy solving undefined problems and applying cutting-edge research to real-world products. The team offers a collaborative environment dedicated to transforming customer experiences through innovation, with opportunities to shape the long-term technical vision of foundational AI infrastructure.

The Sr. Distinguished Applied Researcher role is an individual contributor position within Capital One's AI Foundations team, focused on developing trustworthy and scalable AI systems for the banking sector. Key responsibilities include building and training large-scale foundation models across their entire lifecycle, leveraging technologies like PyTorch and AWS to extract insights from massive datasets, and collaborating with cross-functional leaders to translate complex research into tangible business solutions. The position offers the opportunity to mentor applied scientists, represent the company in the global research community, and drive strategic direction without direct people management. This role is appealing for its chance to work on cutting-edge machine learning challenges that redefine customer experiences, supported by a culture that values innovation, technical excellence, and the ethical application of AI.

This senior distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building a proprietary Agentic AI Platform to transform banking services. The position involves designing north-star platform architectures, standardizing agentic workflows using frameworks like LangGraph and AutoGen, and developing a comprehensive GenAI SDK to accelerate production timelines. Key responsibilities include implementing trust and safety guardrails, optimizing orchestration for performance and cost, and mentoring engineering teams while representing the company at industry conferences. The role appeals to candidates seeking to lead breakthrough applied science initiatives in a collaborative environment where responsible AI drives real customer impact. The position is based in major US hubs including McLean, Cambridge, New York, and San Francisco.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and cost-efficiency. The position requires collaborating with cross-functional teams to integrate proprietary AI solutions while contributing to the long-term technical vision. The role is appealing for its opportunity to lead breakthrough product experiences that reimagine banking, offering a chance to work with cutting-edge technologies like PyTorch and AWS Ultraclusters in a culture that values responsible AI innovation and technical excellence.