Jobs at Big Blue Marble Academy

This contract Instructional Designer role supports the CDRR Training team at a premier Financial Services client in Baltimore, focusing on regulatory cybersecurity and technology policy education. The position involves designing and rebuilding engaging online learning solutions using tools like Articulate Storyline and Rise, while collaborating with subject matter experts to simplify complex technical material. Key duties include developing scalable digital courses, creating reusable templates, and maintaining learning assets on internal platforms. The opportunity appeals to professionals seeking to modernize corporate training within a diverse, women-owned organization that values a personal, boutique approach to solving IT challenges.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and ensuring high availability and performance through cloud-based architectures and continuous deployment practices. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI standards. The role is appealing for its opportunity to work with emerging technologies, apply the latest innovations in ML engineering, and lead teams in a collaborative environment. The position is based in McLean, VA, New York, NY, or Plano, TX.

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.

This senior lead machine learning engineering role places the candidate within an Agile team at Capital One, focusing on the productionization of scalable machine learning systems. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and managing the full lifecycle of model deployment, monitoring, and retraining in cloud environments. The position requires leading teams while ensuring high availability, performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data applications, and foster a collaborative culture that values continuous learning. The position is based in McLean, Virginia or New York, New York.

This Senior Manager, Machine Learning Engineering role leads an Agile team within Capital One focused on productionizing machine learning applications at scale. The position involves designing ML architectures, developing and reviewing model code, and building optimized data pipelines to solve complex business problems. Key responsibilities include managing model retraining and monitoring, ensuring high availability and performance, and enforcing responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and cloud platforms while leading cross-functional teams. It offers a collaborative environment where professionals can continuously learn and drive technical strategy for state-of-the-art big data solutions.

This senior lead machine learning engineering role places the candidate within an Agile team focused on productionizing scalable machine learning applications at Capital One. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and managing the full lifecycle of model deployment, monitoring, and retraining in cloud environments. The position requires leading teams while ensuring code quality, system performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data solutions, and foster a collaborative culture that values continuous learning and technical excellence.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems using cloud architectures. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI practices. The role is appealing for its opportunity to continuously apply the latest innovations in machine learning engineering and work with diverse technologies like Python, Golang, and major cloud platforms. The position supports a collaborative culture centered on technical growth and delivering state-of-the-art big data solutions.

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.

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 personalized customer experiences and digital assistants. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to process massive datasets, adapting generative AI for production environments serving over 80 million users, and translating complex technical concepts into strategic business goals. The role is appealing due to the opportunity to drive innovation at a Fortune 200 scale, work with cutting-edge AI tools, and foster a culture of talent development and creative problem-solving. The position is based in McLean, New York, or San Jose.

The Senior Manager, Data Science - AI Foundations role leads the development of scalable AI and machine learning solutions for Capital One's mobile applications. The position involves partnering with cross-functional teams to design, train, and operationalize large language models and NLP systems that serve over 80 million customers. Key responsibilities include leveraging technologies like PyTorch and AWS to build generative AI features, adapting models for customer-facing interactions, and translating complex technical concepts into business value. This opportunity appeals to innovative leaders seeking to drive the next wave of disruption in financial services within a collaborative culture. The role offers the chance to work with cutting-edge tools while fostering talent development and shaping the future of digital banking experiences.

This full-time regional driving role is based in Salem, Oregon, and involves operating a day cab tractor with a flatbed trailer to deliver freight across Oregon, Washington, and Northern California. The position requires one year of Class A CDL experience and includes responsibilities such as loading and unloading cargo, maintaining accurate logs, and ensuring compliance with safety regulations. The role appeals to drivers seeking a stable schedule with Monday through Friday hours, comprehensive benefits including medical and dental starting after 30 days, and a supportive culture that values safety and veteran employment. The company provides newer equipment, paid training on specialized machinery, and a collaborative environment where drivers have autonomy over safety decisions.

This full-time regional driving role is based in Salem, Oregon, and involves operating a day cab tractor with a flatbed trailer to deliver freight across Oregon, Washington, and Northern California. The position requires a Class A CDL holder with at least one year of experience and includes responsibilities such as loading and unloading cargo, securing freight, maintaining accurate logs, and ensuring compliance with safety regulations. The role is appealing due to its Monday through Friday schedule, the provision of modern equipment with roadside maintenance support, and a comprehensive benefits package that includes health coverage starting after 30 days and paid time off from day one. The company offers paid training on specific equipment and fosters a culture that values driver safety and independence.

This full-time regional truck driver role is based in Salem, Oregon, focusing on flatbed freight delivery across Oregon, Washington, and Northern California. The position involves operating a day cab tractor with a trailer-mounted forklift to handle loading, unloading, strapping, and securing cargo while adhering to all federal and state safety regulations. The role appeals to drivers seeking a supportive culture where safety decisions are prioritized, offering comprehensive benefits including medical coverage after 30 days, paid time off, and equipment training. The schedule runs Monday through Friday with a 40 to 50-hour work week, providing a stable work-life balance without the need for overnight travel.

This full-time regional truck driver role is based in Salem, Oregon, focusing on flatbed freight delivery across Oregon, Washington, and Northern California. The position involves operating a day cab tractor with a trailer-mounted forklift to handle loading, unloading, strapping, and securing cargo while adhering to federal safety regulations. The role appeals to drivers seeking a supportive culture where they act as the captain of their vehicle with protected safety decisions, alongside comprehensive benefits including medical coverage after 30 days, paid time off, and equipment training. The schedule runs Monday through Friday with a 40 to 50-hour work week, offering a predictable routine for those with a Class A CDL and relevant flatbed experience.