Jobs at Mace

This 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. Key responsibilities include 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 position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to transform banking. It offers the opportunity to shape the long-term technical vision of foundational AI systems while working in a collaborative environment dedicated to responsible and reliable AI.

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.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world problems in a collaborative environment that values technical excellence and innovation. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse cross-functional team.

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.

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. 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, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI infrastructure. The role appeals to candidates seeking to apply state-of-the-art research in production environments while working on high-impact problems that redefine customer experiences. It offers a collaborative culture where engineers can lead technical initiatives and influence strategic direction across the organization.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable generative AI platforms. The position involves designing and deploying large-scale AI systems, 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 governance and observability frameworks, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to apply cutting-edge research to transform banking services, offering a collaborative culture that values innovation and technical excellence. The position supports a hybrid work arrangement and provides a platform to lead the development of high-impact solutions for millions of customers.

The Sr. Director, Product Management - AI/ML Platform Intelligence role leads a product team responsible for the core Machine Learning and Generative AI platforms at Capital One. This position involves setting technical strategy, monitoring platform performance, and ensuring resilience for mission-critical business applications. Key responsibilities include partnering with technology and risk teams to support data scientists and software developers, while driving the adoption of advanced infrastructure and tooling. The role is appealing for its opportunity to shape the future of AI/ML capabilities within a vibrant, innovative culture that values human-centered design and transformational leadership. The position requires significant people leadership and technical expertise in a high-impact environment focused on digital transformation.

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, collaborating with cross-functional teams of engineers and product managers to deploy AI solutions, and translating complex research into tangible business value. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work with cutting-edge technologies like PyTorch and AWS while contributing to high-impact research that directly improves customer interactions. The role is based in major US hubs including Cambridge, McLean, New York, and San Francisco, with a strong emphasis on innovation, technical excellence, and professional growth within a collaborative engineering culture.

This 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. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and Huggingface to deliver high-impact products. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for foundational AI. It offers the opportunity to work on complex, undefined problems with a team dedicated to bringing humanity and simplicity to financial services.

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 Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. The position involves building and customizing large language models through pre-training, fine-tuning, and reinforcement learning techniques. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS to analyze vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI while working in a collaborative environment that values innovation and customer impact. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable generative AI platforms. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while collaborating with cross-functional partners. The role offers the opportunity to shape the technical vision for foundational AI systems and work in a culture that values innovation, technical excellence, and impactful product experiences.

This distinguished individual contributor role within Capital One's AI Foundations team focuses on developing trustworthy and scalable AI systems to transform banking experiences. The position involves leading strategic research initiatives, building large-scale foundation models from design through implementation, and collaborating with cross-functional teams to deliver high-impact AI products. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to analyze complex data, mentoring applied scientists, and representing the company within the global research community. The role is appealing for its opportunity to drive the next generation of customer interactions, work with cutting-edge machine learning methodologies, and influence technical direction without direct people management. The position supports a culture of innovation and requires a blend of deep technical expertise and strong interpersonal skills to translate research into tangible business value.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on customizing and fine-tuning large language models to transform banking services. The position involves designing and deploying scalable AI infrastructure, including foundation model training, inference optimization, and implementing safety guardrails using technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance and contributing to the long-term technical vision for foundational AI systems. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment that values responsible AI innovation. It offers the opportunity to work on high-impact projects that directly improve customer experiences while fostering professional growth through mentorship and cross-functional leadership.

This contract role involves serving as a Court Reporter for Neal R. Gross and Co., providing transcription services for federal, state, and private sector clients across the United States. The position requires on-site attendance at local client locations to capture verbatim records of legal proceedings, depositions, and meetings using machine shorthand, voice writing, or digital capture. Key responsibilities include administering oaths, operating specialized recording equipment, preparing case worksheets, and ensuring secure file management. The role appeals to experienced professionals seeking flexible scheduling that accommodates varying workloads from a few assignments monthly to several per week. It offers the opportunity to interact with high-level government and industry clients while working independently in a dynamic environment.

This contract role involves serving as a Court Reporter for Neal R. Gross and Co., providing transcription services for federal, state, and private sector clients across the United States. The position requires traveling to various in-person locations, including legal courts, boardrooms, and deposition sites, to capture verbatim proceedings using machine shorthand, voice, or digital capture. Key responsibilities include administering oaths, operating specialized recording equipment, preparing case worksheets, and ensuring secure file management. The role appeals to experienced professionals seeking flexible scheduling that accommodates anywhere from a few assignments monthly to several per week. It offers the opportunity to work independently with high-level government and industry clients while utilizing existing equipment and expertise without the need for employer-provided training.

This fully remote Data Annotator role supports NoGigiddy's mission to train next-generation machine learning models by having humans label diverse data types. The position involves reviewing and tagging text, images, audio, and video according to specific guidelines, categorizing content for tasks like sentiment analysis, and flagging ambiguous items for senior review. Key responsibilities include maintaining high accuracy benchmarks, meeting deadlines, and participating in calibration sessions to ensure quality standards. The role is appealing due to its flexible schedule, the opportunity to work from anywhere in the US, and the provision of full training for candidates with no prior experience. It offers a consistent workflow across multiple AI projects and access to a broader network of earning opportunities within a supportive, inclusive culture.

This full-time Senior Full Stack Software Engineer role is based in Pasadena, CA, within OffWorld's robotics team developing autonomous systems for extreme industrial environments. The position focuses on designing and implementing a real-time software platform that manages robot swarms, including data processing stacks, fault detection, and intuitive user interfaces for remote monitoring. Key responsibilities involve building scalable front-end and back-end solutions using technologies like React and Node.js, integrating sensor data, and collaborating with mechatronics and machine learning engineers to ensure seamless system operation. The role is appealing due to the opportunity to work on cutting-edge challenges in mining and space exploration, join a supportive team of experienced engineers, and contribute to a mission that transforms hazardous industries. The position requires on-site work in Pasadena.

This contract role is a Senior Full Stack Software Engineer position based in Pasadena, California, supporting OffWorld's mission to develop modular robotic systems for extreme environments on Earth and beyond. The engineer will collaborate with architects and cross-functional teams to design and implement the real-time software platform architecture for robot swarms. Key responsibilities include building front-end and back-end solutions for autonomous operation monitoring, developing data processing stacks for telemetry and sensor inputs, and creating intuitive user interfaces for remote control and situational awareness. The position appeals to candidates seeking to work on cutting-edge industrial robotics with a supportive, mission-driven team. The role requires expertise in full-stack development for mobile and web applications, with opportunities to contribute to high-impact projects that transform mining and exploration industries.

This AI Engineer role within the Global Defense team focuses on architecting, building, and deploying intelligent, agentic solutions across legacy and modern platforms. Key responsibilities include training and maintaining machine learning models, developing AI-enabled features using LLMs and RAG pipelines, and collaborating with senior architects to define ML strategy for mission-critical environments. The position offers exposure to next-generation tooling and a chance to solve real-world challenges in a people-first culture that values collaboration and professional growth. Candidates must possess a Secret security clearance and be prepared for a work arrangement that may include remote, hybrid, or onsite options depending on specific project needs.

This senior DevOps Lead role at General Atomics Integrated Intelligence supports the Intelligence Community and Department of Defense by managing production systems that process massive data streams for situational awareness. The position involves leading a new operations team, overseeing hiring, and optimizing the software delivery lifecycle through robust CI/CD pipelines and Kubernetes orchestration. Key responsibilities include maintaining development and production environments, implementing security hardening practices, and ensuring system reliability through automated monitoring and disaster recovery solutions. The role appeals to candidates seeking high-impact work in a mission-driven environment where they can apply advanced cloud and container technologies to solve complex challenges. Candidates must hold a Top Secret/SCI clearance and possess extensive experience with Linux, Git, and infrastructure automation.

This senior DevOps engineering role supports General Atomics Integrated Intelligence in maintaining production systems for the Intelligence Community and Department of Defense. The position focuses on managing development, testing, and production environments while building automation and monitoring solutions. Key responsibilities include managing continuous integration and delivery pipelines, implementing system hardening practices, and ensuring high uptime through robust disaster recovery and security monitoring. The role appeals to candidates seeking to work with cutting-edge machine learning and data fusion technologies that transform vast data streams into actionable intelligence. The team values a collaborative culture where engineers can drive system improvements and utilize open-source technologies. This position requires a Top Secret/SCI clearance and offers the opportunity to contribute to critical national security missions.