Jobs at Cloud and Things

The Head of Computational Chemistry leads the computational, cheminformatics, and molecular design functions at General Proximity, a seed-stage biotech pioneering induced proximity medicines. This role combines strategic leadership with hands-on drug design, guiding small-molecule programs from hit identification through candidate selection using advanced modeling techniques like docking, molecular dynamics, and free-energy methods. Key responsibilities include building scalable cheminformatics infrastructure, integrating AI and machine learning tools to accelerate design-make-test-analyze cycles, and collaborating closely with medicinal chemists and structural biologists to optimize compound properties. The position offers the opportunity to establish a modern, AI-enabled platform from the ground up within a high-energy, writing-first culture that values scientific ownership and rapid growth. The role is based on-site at the MBC BioLabs in the Bay Area with flexible working hours.

The Head of Data is an executive leadership role within Light & Wonder's corporate team, reporting directly to the Chief Strategy Officer to drive the organization's AI transformation. This position is responsible for building a centralized data hub, defining a multi-year data strategy, and establishing enterprise-wide governance to ensure data serves as a competitive advantage. Key duties include architecting modern infrastructure using platforms like Snowflake, leading high-performing data teams, and partnering with executive leadership to deliver measurable business value through AI initiatives. The role offers significant visibility and impact within a dynamic, high-growth environment. While the position prefers full-time presence in Las Vegas, it is open to remote candidates with a requirement for 50% travel.

This Senior Fund Accountant role is based within Sydecar's Operations team in New York City or San Francisco, supporting the creation and execution of private market investment vehicles. The position involves managing post-closing events for SPVs and funds, preparing financial reporting packages, and overseeing distribution calculations. Key responsibilities include serving as an escalation point for complex investment structures, leading customer onboarding calls, and developing standard operating procedures to ensure process consistency. The role offers a hybrid work arrangement and appeals to candidates seeking to drive efficiency in a fast-growing fintech environment. It provides opportunities for professional growth through a collaborative culture that values excellence and continuous improvement, alongside comprehensive benefits including stock options and professional development stipends.

The Systems Development Engineer II role within the AWS Commerce Platform team focuses on building and supporting billing systems in air-gapped cloud environments for U.S. Government agencies. Key responsibilities include designing scalable services and tooling, troubleshooting distributed systems, and automating operational remediation to ensure high availability. This position appeals to engineers seeking to work at the intersection of complex business problems and cloud technology strategy within a fast-paced, entrepreneurial culture. The team offers extensive mentorship, opportunities for career growth, and a commitment to work-life balance. Candidates must hold an active TS/SCI security clearance with polygraph and work on-site in Virginia.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform customer banking experiences. The position involves designing and training foundation models, optimizing deep learning architectures for scale, and collaborating with cross-functional teams to deploy AI solutions into production. Key responsibilities include leveraging technologies like PyTorch and AWS to extract insights from vast datasets and translating complex research into tangible business value. The role appeals to innovative researchers passionate about pushing the boundaries of AI while working in a culture that prioritizes ethical decision-making and customer impact. Candidates will engage in high-impact applied research with opportunities to lead independent agendas and contribute to industry-leading publications.

This Senior Security Investigator role within Microsoft's Security Response Team focuses on protecting Office 365 cloud services and petabytes of business-critical data. The position involves investigating compromised assets, analyzing large-scale log data using tools like Python and SQL, and conducting proactive adversary hunts to identify emerging threats. Key responsibilities include developing automated detection capabilities, creating security tooling, and designing solutions for complex security challenges. The role appeals to candidates seeking a fast-paced environment with a growth mindset, offering significant opportunities to innovate, scale operations to millions of users, and work on cutting-edge security trends. The position requires an active U.S. Government Top Secret clearance with SCI access and polygraph, and operates within a collaborative DevOps model.

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 Database Administrator role within the Department of Revenue's Information Technology Division focuses on maintaining and securing critical data systems for the state. Key responsibilities include troubleshooting production issues, designing database architectures, writing T-SQL scripts, and implementing robust security measures to protect sensitive information. The position offers the appeal of a flexible work arrangement with remote options available within Arizona, alongside a supportive culture that values autonomy, continuous improvement, and professional development. Employees benefit from a comprehensive benefits package including retirement matching, paid parental leave, and opportunities for career advancement.

This Senior DevOps Engineer role at Raft supports mission-critical data platforms for the Department of War, processing billions of daily events across cloud and on-premises environments. The position requires an active Secret clearance and involves designing secure Kubernetes infrastructure, managing GitOps-based CI/CD pipelines, and optimizing data streaming systems using Kafka and Flink. Key responsibilities include implementing Infrastructure as Code with Terraform, ensuring DevSecOps compliance, and collaborating with software engineers to enhance platform reliability and observability. The role appeals to candidates seeking high-impact work in a customer-obsessed culture that values innovation and collaboration. It offers a hybrid work arrangement with up to 25% travel, opportunities to work with cutting-edge AI and data technologies, and a supportive team environment focused on modernizing public-sector defense capabilities.

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 II role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform banking experiences. The position involves designing and training foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment where innovation directly improves customer interactions. It offers the opportunity to lead a research agenda, publish findings, and work with state-of-the-art infrastructure in a culture that values technical excellence and ethical AI development. The position is based in major hubs including Cambridge, McLean, New York, and San Jose.

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.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while collaborating with cross-functional teams of engineers and product managers to deploy scalable AI solutions. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to extract insights from vast datasets and translating complex research into tangible business value. The role appeals to candidates seeking to work on cutting-edge AI research in a collaborative environment that values innovation and ethical decision-making. It offers the opportunity to lead impactful projects that redefine customer interactions, with a strong emphasis on professional growth and technical excellence.

This Applied Researcher I 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 AI-powered products, optimizing model performance for scale, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI through high-impact research and innovation. It offers the opportunity to work on cutting-edge projects that redefine customer interactions, supported by a culture that values creativity, technical excellence, and ethical AI development.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and establishing governance and observability for production AI. The position leverages a modern stack of open-source and cloud technologies to solve complex, undefined problems. The role appeals to candidates seeking to lead technical vision, influence cross-functional stakeholders, and apply cutting-edge research to real-world impact. It offers a collaborative environment dedicated to innovation and high-leverage business outcomes.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance, and establishing governance and observability for production AI. The position leverages a modern stack of open-source and cloud technologies to solve complex, undefined problems. The role appeals to candidates seeking to lead technical vision, influence cross-functional stakeholders, and apply cutting-edge research to real-world impact. It offers a collaborative environment where engineers can mentor teams and drive innovation in a mission-driven culture.

The Sr. Distinguished AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and establishing governance and observability for production AI. The position leverages a broad stack of open-source and cloud technologies to solve complex, undefined problems. This opportunity appeals to candidates seeking to lead technical vision and influence cross-functional stakeholders while working on high-impact applications that enhance customer experiences. The role offers a collaborative environment dedicated to advancing state-of-the-art science and engineering in a mission-driven culture.

This distinguished AI engineering role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for cost and latency, and collaborating with cross-functional partners to deliver AI-powered products. The position appeals to candidates seeking to apply state-of-the-art research in production environments while shaping the technical vision for foundational AI. The role offers the opportunity to work with a broad stack of open-source and cloud technologies in a culture that values innovation, technical excellence, and solving complex, undefined problems.

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 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 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 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.