Jobs at ANSER

This full-time Bakery and Cake Decorator role supports the store's food service department by delivering exceptional customer experiences and maintaining a safe, clean environment. Key responsibilities include preparing bakery items according to recipes, decorating cakes and pastries, managing inventory, and ensuring strict adherence to food safety and temperature guidelines. The position appeals to candidates who enjoy creative food preparation and building relationships with customers in a collaborative team setting. The role requires a positive attitude, effective communication skills, and the ability to handle stressful situations while working on-site within the store.

This Management Training Program at Express Oil Change & Tire Engineers prepares candidates for accelerated leadership roles within the automotive maintenance industry. The role involves completing comprehensive training while actively participating in daily store operations, including greeting customers, scheduling appointments, and consulting on service needs. Key responsibilities focus on delivering high-quality customer service, communicating effectively with technicians to meet time commitments, and ensuring all store expectations are exceeded. The position offers an appealing opportunity to learn how to manage a business from the ground up within a company known for innovation and growth. Candidates will gain significant hands-on experience in a collaborative environment that values excellence and development.

This Management Training Program at Express Oil Change & Tire Engineers prepares candidates for accelerated leadership roles within the automotive maintenance industry. The role involves comprehensive training across all store operations, including greeting customers, scheduling appointments, and consulting on service needs. Key responsibilities focus on delivering high-quality customer service, coordinating with technicians to meet time commitments, and ensuring operational standards are consistently exceeded. The position is appealing for its hands-on approach to learning business management and the opportunity to grow into key leadership positions with a pre-eminent industry provider. The program offers a dynamic environment where trainees gain significant management and sales experience while contributing to a culture of excellence and innovation.

This full-time Assistant Manager role supports store operations at a Domino's Pizza location, focusing on leadership and daily management. The position involves overseeing shifts with teams of up to 30 employees, managing inventory and cash control, and ensuring high-quality customer service. Key duties include performing front-line tasks such as taking orders, preparing food, and delivering products, while maintaining strict cleanliness and grooming standards. The role appeals to candidates seeking career growth through management training with a clear path to becoming a store manager. It offers flexible scheduling, employee discounts, and a fun, supportive work environment for those with a valid driver's license and reliable transportation.

The Front Desk Agent role serves as the primary point of contact within the hotel's front office team, ensuring a welcoming experience for all guests. Key responsibilities include managing check-in and check-out procedures, handling guest communications and payments, and providing detailed information about hotel amenities and local attractions. The position requires proficiency with property management systems and the ability to coordinate with various departments to resolve guest needs efficiently. This opportunity is appealing for individuals passionate about delivering four-diamond service in a collaborative, fast-paced environment. The role offers a chance to build strong relationships with guests and colleagues while developing essential hospitality skills. The position operates on a flexible schedule that may include nights, weekends, and holidays.

The Food and Beverage Host role at Aulani, a Disney Resort and Spa, involves welcoming guests, managing seating, and processing to-go orders within a full-service dining environment. Key responsibilities include greeting visitors, taking and verifying orders, handling payments, and maintaining food quality and sanitation standards while providing directions and event information. The position offers a unique opportunity to work in a magical, high-energy setting with a supportive team culture. Benefits include comprehensive healthcare coverage, free meals and parking, and theme park admission. The role is full-time with flexible shift availability, including nights and weekends, and requires the ability to work both indoors and outdoors in various weather conditions.

This travel nursing position places a CVOR professional within a specialized operating room environment for contracts lasting eight to thirteen weeks. The role involves providing critical perioperative care, assisting with surgical procedures, and maintaining sterile protocols while adapting to various healthcare facilities. The position offers significant flexibility with 36 to 40-hour weekly guarantees, variable start dates, and diverse scheduling options. It is appealing for professionals seeking to explore new locations while accessing comprehensive benefits including health coverage, retirement plans, and tax-advantaged stipends. The opportunity supports career growth through exposure to different medical settings and a supportive recruitment team dedicated to matching nurses with ideal assignments.

This full-time Sales Coordinator role supports the Sales and Marketing team at a luxury St. Regis property in Aspen, Colorado. The position involves managing administrative tasks such as preparing sales documents, proposals, and contracts, while also serving as a primary point of contact for clients via phone and email. Key responsibilities include maintaining brand image, entering sales data into software systems, and answering guest inquiries regarding property facilities and services. The role appeals to candidates seeking a career in the luxury hospitality sector within a collaborative global team that values professional growth and exceptional service standards. This is an on-site position requiring direct interaction with guests and internal teams.

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.

The Senior Director, Applied Research role leads the AI Foundations team at Capital One, driving strategic direction for trustworthy and reliable AI systems within the banking sector. Key responsibilities include managing teams of applied scientists, building AI foundation models from design through implementation, and collaborating with cross-functional groups to deliver high-impact products that transform customer experiences. The position appeals to leaders passionate about emerging technologies, offering the opportunity to represent the company in the global research community and mentor talent while working with advanced tools like PyTorch and AWS. This people management role focuses on translating complex research into tangible business goals and is based in various US locations including Cambridge, McLean, New York, Richmond, and San Francisco.

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.