Jobs at Little General Stores

This flexible driving role allows individuals to earn extra income by providing rides through the Uber platform. The position is suitable for those seeking part-time, full-time, or seasonal work with complete control over their schedule. Key responsibilities include transporting passengers safely, maintaining an eligible four-door vehicle, and completing a background check. The role appeals to drivers who value independence and the ability to access earnings instantly via the Instant Pay feature. No prior professional driving experience is required, and rental options are available for those without a personal vehicle. The arrangement is entirely on-demand, allowing drivers to work from their local area based on their availability.

This flexible driving role allows individuals to earn income by providing rides through the Uber platform. The position involves transporting passengers while maintaining full control over one's schedule, making it suitable for those seeking part-time, full-time, or seasonal work. Key responsibilities include ensuring passenger safety, navigating routes efficiently, and adhering to local driving regulations. The opportunity is appealing due to its high flexibility, allowing drivers to work as their own boss and access earnings instantly through daily cash-out options. Support is available for those without a vehicle through rental partnerships, and the role welcomes applicants from diverse backgrounds including those with prior transportation experience or no professional driving history. The arrangement is primarily on-demand with no fixed shifts, requiring only a valid license, a qualifying vehicle, and a smartphone.

This flexible driving role allows individuals to earn income on their own schedule by providing rides through the Uber platform. The position involves transporting passengers safely while utilizing a personal or rental vehicle, with key responsibilities including navigating routes, maintaining vehicle standards, and completing background checks. The opportunity appeals to those seeking autonomy as their own boss, offering the ability to work part-time, full-time, or seasonally without a fixed shift. Drivers can access earnings quickly through instant pay options and benefit from a supportive onboarding process. The role is suitable for candidates with a valid driver's license and a qualifying vehicle, welcoming those from various backgrounds including transportation professionals and individuals looking to supplement their income.

This flexible driving role allows individuals to earn income on their own schedule as a gig, part-time, or full-time opportunity. The position involves transporting passengers using an eligible four-door vehicle while maintaining control over driving hours. Key responsibilities include adhering to local driving regulations, completing a background check, and utilizing a smartphone to manage trips. The role is appealing for its autonomy, allowing drivers to act as their own boss and access instant pay options. It accommodates those without personal vehicles through rental partnerships and welcomes candidates from diverse backgrounds, including those with prior transportation experience or no professional driving history. The arrangement is entirely remote in terms of location, with drivers operating within their local cities.

This flexible driving role allows individuals to earn income by transporting passengers using the Uber platform. The position is designed for those seeking a part-time, full-time, or seasonal opportunity where drivers set their own hours and decide how much to work. Key responsibilities include safely operating an eligible four-door vehicle, completing passenger trips, and maintaining a clean driving record through required background checks. The role appeals to those valuing autonomy and immediate access to earnings via daily cash-out options. It is suitable for individuals with various backgrounds, including those without prior professional driving experience, and offers the option to rent a vehicle if one is not available. The arrangement is entirely on-demand, allowing drivers to work remotely from their vehicle with support available around the clock.

This flexible driving role allows individuals to earn income by transporting passengers using the Uber platform. The position offers significant schedule autonomy, enabling drivers to work part-time, full-time, or seasonally based on personal availability. Key responsibilities include safely operating an eligible four-door vehicle, adhering to local traffic laws, and maintaining a professional demeanor during rides. The role is particularly appealing due to the Instant Pay feature, which permits cashing out earnings multiple times daily, and the availability of rental partners for those without a personal vehicle. This opportunity requires a valid driver's license, a smartphone, and a background check, with support available around the clock to assist with registration and questions.

This flexible driving role allows individuals to earn income by providing rides through the Uber platform. The position involves transporting passengers safely while adhering to local regulations and maintaining an eligible four-door vehicle. Key responsibilities include navigating routes, ensuring passenger safety, and managing vehicle maintenance. The role appeals to those seeking autonomy over their schedule, allowing them to drive part-time, full-time, or seasonally based on personal availability. Drivers can access earnings quickly through instant pay options and receive support from a dedicated team throughout the registration process. The arrangement is designed for flexibility, with no prior professional driving experience required, making it suitable for individuals looking to supplement their income or work as their own boss.

This mid-to-senior DevOps Engineer role supports a government client within a dynamic development team focused on large-scale enterprise applications. The position involves implementing DevSecOps methodologies in an Agile environment, designing cohesive CI/CD pipelines, and managing automated build and release processes across cloud platforms like AWS or Azure. Key responsibilities include maintaining deployed systems, resolving technical issues, and driving continuous improvements to security and automation. The role appeals to candidates seeking a collaborative culture that promotes DevOps practices, offering opportunities to work independently or lead team initiatives. A valid TS/SCI clearance with polygraph is required, and the position supports a stable organization with a comprehensive benefits package including paid time off and retirement matching.

This flexible driving role allows individuals to earn cash by providing rides through the Uber platform, serving as a viable option for part-time, full-time, or seasonal work. The position involves accepting ride requests, navigating to passenger locations, and ensuring a safe travel experience while maintaining control over one's own schedule. Key responsibilities include meeting basic vehicle and licensing requirements, completing a background check, and utilizing a smartphone to manage trips. The role is appealing due to its high degree of autonomy, allowing drivers to decide when and how much to work, along with the option to cash out earnings instantly multiple times daily. For those without a vehicle, rental partnerships are available. The arrangement is entirely on-demand with no fixed hours, making it suitable for drivers from various backgrounds seeking supplemental income or a flexible gig.

This flexible driving role allows individuals to earn income by providing rides through the Uber platform. The position involves transporting passengers safely while maintaining full control over one's schedule, making it suitable for those seeking part-time, full-time, or seasonal work. Key responsibilities include adhering to local driving regulations, maintaining an eligible four-door vehicle, and completing a background check. The role is appealing for its autonomy, allowing drivers to decide when and how much to work, along with the option for daily cash-out access to earnings. No prior professional driving experience is required, and support is available for those needing vehicle rentals. The arrangement is entirely on-demand with no fixed location, enabling drivers to operate in their local areas.

This role involves driving passengers or delivering goods using the Uber platform, offering a flexible alternative to traditional employment. The position allows individuals to set their own schedules, choosing to work part-time, full-time, or seasonally based on personal availability. Key responsibilities include transporting riders safely, adhering to local traffic laws, and maintaining an eligible four-door vehicle. The opportunity is appealing for those seeking immediate cash flow through instant pay options and the autonomy of being their own boss. No prior professional driving experience is required, though a valid license and background check are necessary. The arrangement supports various work styles, with rental options available for those without a vehicle, and support is provided throughout the registration process.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable generative AI solutions, including Large Language Models and Natural Language Processing systems, to enhance customer interactions. Key responsibilities involve partnering with cross-functional teams to operationalize machine learning models for millions of users, leveraging technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive innovation at scale within a data-centric culture, offering a chance to shape next-generation financial experiences while fostering talent development and challenging conventional thinking.

This Principal Data Scientist role within the AI Foundations team focuses on developing scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves leading the design, training, and operationalization of large language models to power features like the Eno digital assistant and personalized customer experiences. Key responsibilities include collaborating with cross-functional product and engineering teams, leveraging technologies such as PyTorch and AWS, and translating complex AI concepts into tangible business value. The role is appealing for its opportunity to drive innovation at a massive scale serving over 80 million customers, offering a dynamic environment where emerging generative AI technologies are actively applied to solve undefined problems. The position supports a customer-first culture and emphasizes professional growth through talent development and technical leadership.

This Principal Associate Data Scientist role within Capital One's Mainstreet Acquisitions team focuses on developing and governing advanced credit underwriting models to deliver personalized financial offers. The position involves conducting statistical modeling experiments, engineering features from diverse data sources, and building machine learning solutions across the full development lifecycle. Key responsibilities include partnering with cross-functional stakeholders to establish modeling standards and translating complex technical insights into tangible business goals. The role appeals to candidates seeking a collaborative, informal culture that values innovation and intellectual challenge. It offers the opportunity to work with cutting-edge technologies like Python, AWS, and Spark on a large scale, driving real-time decision-making for millions of customers.

This Director-level role within the External Data Strategy team at Capital One leads a group of 10 to 15 data scientists in building advanced analytics and machine learning models. The position involves overseeing the full data lifecycle, from sourcing external data and designing feature pipelines to implementing scalable solutions using Python, Spark, and AWS. Key responsibilities include partnering with cross-functional teams to drive business insights, providing technical guidance, and developing talent within the organization. The role appeals to candidates seeking to leverage big data to improve customer financial outcomes within a company that values innovation and data-driven decision-making. It offers the opportunity to work at scale across billions of records while fostering a culture of technical excellence and strategic leadership.

The Director of Digital Marketing leads strategic planning and execution for all digital channels at Big Blue Marble Academy, a network of 93 early childhood education schools. This role sets the digital vision to drive enrollment growth while managing paid media campaigns, SEO initiatives, and content strategy across platforms like Google Ads and Meta. Key responsibilities include optimizing conversion rates, overseeing the digital marketing budget, ensuring regulatory compliance, and guiding the digital workforce. The position appeals to mission-driven professionals seeking to impact children's development within a collaborative, inclusive culture. The role offers the opportunity to shape the organization's online presence and contribute to a team dedicated to diversity and community engagement.

This Senior Manager, Data Scientist role within the Generative AI Systems team at Capital One focuses on developing cutting-edge AI solutions for dialogue, text processing, and image analysis. The position involves leading cross-functional teams to build machine learning models from design through implementation, leveraging technologies like Python, AWS, and Spark to extract insights from massive datasets. Key responsibilities include translating complex technical work into business value, mentoring talent, and driving innovation in natural language processing and computer vision. The role is appealing for its opportunity to shape the future of financial services using emerging generative AI technologies, work with a collaborative culture of researchers and engineers, and contribute to research presented at major industry conferences. The position is based in McLean, Virginia or New York, New York.

This managerial role within the AI Foundations team at Capital One focuses on developing scalable machine learning and natural language processing solutions for the company's mobile applications. The position involves leading cross-functional teams to design, train, and operationalize large language models that power features like the digital assistant Eno and personalized customer experiences. Key responsibilities include leveraging advanced technologies such as PyTorch and AWS to build resilient production systems serving over 80 million users, while translating complex technical concepts into clear business strategies. The role is appealing for its opportunity to drive innovation in generative AI, work with cutting-edge tools, and lead talent development within a data-centric culture. The position is based in McLean, New York, or San Jose.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable machine learning solutions, specifically leveraging Large Language Models and Natural Language Processing to enhance customer interactions. Key responsibilities include partnering with cross-functional teams to build AI-powered features, fine-tuning models for production environments serving over 80 million users, and translating complex technical concepts into business value. This opportunity appeals to candidates seeking to drive innovation in generative AI within a data-centric culture that values customer-first decision-making and professional growth. The role operates on-site in McLean, New York, or San Jose.

This management role leads a team of data scientists within the AI Foundations group, focusing on building next-generation recommendation and personalization systems for a Fortune 200 financial institution. The position involves partnering with cross-functional teams to design, train, and deploy high-scale machine learning models using technologies like Python, AWS, and Spark. Key responsibilities include architecting scalable ML pipelines, applying advanced techniques such as Transformer-based architectures and reinforcement learning, and translating complex data insights into tangible business outcomes. The role is appealing due to its opportunity to work at the intersection of deep research and massive real-world impact, leveraging cutting-edge tools to improve customer experiences across billions of records. The team operates in a collaborative environment that values innovation, customer-centricity, and technical excellence.

The Manager, Data Science role within the AI Foundations LLM Customization team leads efforts to integrate Large Language Models and generative AI into Capital One's financial products. Key responsibilities include partnering with cross-functional teams to design and operationalize NLP models, adapting and fine-tuning LLMs for specific business applications, and leveraging technologies like PyTorch and AWS to process vast datasets. This position appeals to innovative leaders who thrive on solving undefined problems and driving breakthrough AI initiatives. The role offers the opportunity to shape next-generation customer experiences while working in a collaborative environment that values technical expertise and clear communication across the organization.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's Data Science department. This position focuses on building and deploying state-of-the-art scalable AI and machine learning solutions for the company's mobile applications, serving over 80 million customers. Key responsibilities include partnering with cross-functional teams to deliver generative AI features, leveraging technologies like PyTorch and Large Language Models to process vast datasets, and managing the full lifecycle of model development from design to production. The role is appealing for its opportunity to drive innovation at a Fortune 200 scale, work with cutting-edge NLP technologies, and foster a culture of customer-centric creativity and talent development.