AI/ML Engineer with AWS Expertise

Role overview reply is looking for an AI/ML Engineer with proven AWS skills to join the team in Irvine, CA or Los Angeles, CA. This position centers on developing and refining artificial intelligence and machine learning solutions that drive current projects forward. Day-to-day work involves close collaboration with experienced colleagues. The role requires direct engagement with new technologies as part of hands-on project work. Key focus areas Designing and enhancing AI and machine learning systems Applying AWS expertise to support technical initiatives Working alongside a team of skilled professionals Staying involved with emerging tools and approaches in the field Location This role is based in either Irvine, CA or Los Angeles, CA.

Field AI is revolutionizing the way robots engage with the physical environment. We are developing reliable, risk-aware AI systems tailored for complex robotic challenges, thereby unlocking the potential of embodied intelligence. Unlike conventional data-driven methods or solely transformer-based models, our innovative approach has already yielded globally deployed solutions that provide tangible results and enhance models through real-world applications.Robotics AI Engineer – Calibration, Localization, and MappingLocation: Irvine, CAAbout Field AIAt Field AI, we lead the charge in robotic embodied AI, transforming sectors such as construction, security, mining, and manufacturing. Our autonomous robots function globally, often in challenging conditions, delivering invaluable insights to our clients. Whether it's tracking construction progress, ensuring compliance with safety standards, or performing predictive maintenance, Field AI is at the forefront of technological advancement that creates significant impact.Discover more at https://fieldai.com.About the PositionField AI is on the lookout for enthusiastic scientists and engineers eager to contribute to the advancement of sophisticated geometric robot perception algorithms. As a key member of our Calibration, Localization, and Mapping (CLAM) team, you will collaborate with a group of focused professionals in a dynamic environment to produce production-grade code within our calibration, localization, and mapping subsystems. You will engage with various sensing modalities and enhance our calibration pipeline or create environment-agnostic localization and mapping algorithms for our autonomy modules. The specific projects you will undertake will align with your skill set and interests. Ideal candidates will possess a robust theoretical foundation in modern calibration, localization, and mapping algorithms, coupled with the practical ability to deliver high-quality, maintainable code in a fast-paced, focused team setting.

Field AI is revolutionizing the interaction of robots with the physical world. We are developing advanced AI systems that are both risk-aware and reliable, designed specifically for real-world applications. Our solutions tackle the most intricate challenges in the field of robotics, harnessing the vast potential of embodied intelligence. Our innovative approach transcends standard data-driven methodologies and purely transformer-based models, leading us to establish a unique path in AI deployment. With solutions already in use around the globe, we are continuously enhancing our models via real-world applications.We are seeking a Software Engineer, Product to spearhead the development and management of customer-centric products at the convergence of embodied AI, robotics, and real-time data. In this role, you will collaborate closely with our AI, robotics, product, and commercial teams to transform complex data gathered from construction sites into intuitive, impactful software utilized globally on active job sites.This is a hands-on position ideal for engineers who thrive on delivering tangible products, engaging directly with customers, and witnessing their innovations in action beyond laboratory settings.

FieldAI develops AI systems aimed at supporting real-world autonomy. The team in Irvine, CA, builds technology that helps leaders and teams work more effectively. The company values quick iteration and high standards, offering a space for those interested in shaping the future of artificial intelligence. Role overview The AI Engineer for Executive Communication Solutions focuses on designing, building, and maintaining Executive Communication Agents. These agents assist FieldAI’s leadership by streamlining daily workflows. Key areas of impact include: Scheduling and calendar management Inbox organization Meeting preparation and follow-up Task prioritization Travel planning Project coordination Internal communications Executive research This role involves close collaboration with C-suite executives and their assistants to understand their day-to-day needs and translate them into practical AI solutions. The AI Engineer will also help set the technical direction for how FieldAI’s technology is used internally. What you will do Work directly with executives and executive assistants to identify workflow challenges Prototype new agent features early in the week and deploy to real users by week’s end Gather and respond to user feedback to refine solutions quickly Balance advanced AI engineering with product thinking and strong communication skills Deliver tools that help executives manage their schedules and daily operations more efficiently Who succeeds in this role Engineers who enjoy rapid prototyping and iteration Those comfortable working closely with senior leaders People who can blend technical skill with an understanding of executive workflows This position is based in Irvine, CA.

Field AI is at the cutting edge of revolutionizing the interaction between robots and the physical world. Our mission is to develop AI systems that are not only reliable and field-ready but also capable of addressing the multifaceted challenges present in robotics. We surpass conventional data-driven methodologies and transformer-based models, paving the way for innovative solutions that are already deployed worldwide, yielding tangible outcomes and continuously refining their capabilities through real-world applications.About the OpportunityAs a Forward Deployed Engineer at Field AI, you will play a pivotal role in actualizing our autonomous systems within real environments. You will take full ownership of deployment, integration, and the ongoing performance of our solutions in the field. This position blends engineering expertise with problem-solving skills, providing an opportunity to collaborate closely with clients and internal teams to ensure seamless operations. You will swiftly integrate field feedback to enhance system reliability and performance, driving adoption from day one, making our solutions integral to mission success. If you excel in dynamic, high-impact settings and aspire to see your contributions directly influencing the future of autonomy, this is your chance to make a significant impact.

Join Field AI, where we are revolutionizing the future of robotics through intelligent AI systems. Our mission is to create transformative, risk-aware, and reliable robotics solutions that tackle complex challenges in real-world settings, enabling robots to unlock their full potential. We focus on innovative approaches that surpass conventional data-driven methodologies and purely transformer-based architectures. Our globally deployed solutions are already yielding remarkable results, continuously enhanced through practical field applications.Are you passionate about shaping the future of AI-powered robotics? Do you excel at the crossroads of advanced autonomy, real-world implementation, and AI-driven decision-making? We are looking for a Robotics AI Engineer specializing in Field Foundation Models and Dynamics Foundation Models. In this pivotal role, you will design, develop, and deploy state-of-the-art AI-driven planning and control frameworks, ensuring our robots navigate effectively in unpredictable and high-pressure environments. This is a unique opportunity to redefine embodied AI, collaborating with a talented team that values innovative thinking, practical execution, and an AI-focused engineering approach. If you’re excited about creating adaptive, intelligent autonomy that learns and evolves beyond traditional models, we want to connect with you!

Field AI is at the forefront of revolutionizing robot interactions with the physical world. We are dedicated to developing advanced AI systems that are not only risk-aware and reliable but also field-ready, tackling the most intricate challenges in robotics. Our pioneering approaches go beyond conventional data-driven methods and transformer-based architectures, leading to globally deployed solutions that yield tangible results and continuously enhance our models through real-world applications.We invite enthusiastic innovators to join us in shaping the future of embodied AI in dynamic, unstructured environments. As a Telepresence & Networking Engineer, you will engage in investigating and solving real-world robotics challenges, primarily focusing on autonomous inspection, mobile manipulation, and enhancing human-robot interaction. Your responsibilities will include algorithm development, real-world robot testing, and sharing your findings through publications at leading robotics and AI conferences.

Join Our Team!About Field AI: At Field AI, we are revolutionizing the interaction between robots and the real world. Our mission is to create risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, maximizing the potential of embodied intelligence. Our innovative approach transcends conventional data-driven methodologies and pure transformer-based architectures, paving a new path towards globally-deployed solutions that yield tangible real-world results while continually enhancing models through real-field applications.Role OverviewWe are in search of a skilled Verification and Validation Software Engineer who will take the lead in ensuring the quality of Field AI’s off-road autonomy, legged, and humanoid robotics solutions. Your responsibilities will include developing strategies, designing tools, and delivering the necessary evidence to confirm safety and readiness for real-world applications. You will implement scalable scenario-based testing (SIL/HIL + high-fidelity simulation), establish CI pipelines, and develop metrics to identify regressions early. Additionally, you will spearhead structured field validation efforts in challenging terrains while collaborating closely with perception, planning, controls, and hardware teams to define clear entry and exit criteria, instrument systems for accuracy, and transform logs into actionable insights that enhance reliability week by week. If you enjoy the challenge of identifying potential issues before they reach customers, prioritize measurable safety, and wish to see your meticulous work manifest in robots confidently navigating real-world environments, we invite you to apply.

TRL11 is an innovative venture-backed startup specializing in advanced deep tech and defense technology, dedicated to revolutionizing video technology for aerospace applications. Located in the vibrant city of Irvine, CA, we are on the lookout for enthusiastic and talented Algorithms and Video Engineers who are passionate about pioneering video processing technologies. In this role, you will lead the design, development, and implementation of sophisticated computer vision and video processing pipelines to enhance our patent-pending Space Aware Video Software Suite. Join us and contribute significantly to the future of Human Space Exploration and bolster US National Security.Location: Irvine, CA (in-person position)

Field AI is revolutionizing the way robots engage with the physical world. Our focus is on developing risk-aware, dependable, and field-ready AI systems that tackle the most challenging issues in robotics, thereby realizing the full potential of embodied intelligence. We transcend conventional data-driven methodologies and purely transformer-based frameworks, forging a unique path with globally deployed solutions that yield tangible results and rapidly enhance models through real-world applications.We are in search of a talented and enthusiastic DevOps Engineer to become a vital member of our engineering team. In this pivotal role, you will be responsible for designing, constructing, and maintaining the infrastructure and automation that drive our development and deployment processes. You will collaborate closely with robotics, machine learning, and software engineers to ensure the reliability of CI/CD pipelines, scalability of infrastructure, and efficiency of development operations. This is a thrilling opportunity to contribute to building robust systems that support complex robotics and AI tasks in a dynamic environment.

Field AI is at the forefront of revolutionizing robot interactions with the real world. Our mission is to create risk-aware, reliable, and field-ready AI systems that tackle the most intricate challenges in robotics, revealing the immense potential of embodied intelligence. We are pioneering a new direction beyond conventional data-driven methods and transformer-based architectures, and our globally deployed solutions are already yielding tangible results and enhancing models through real-world applications.Are you an enthusiast of robotics and software engineering? Do you excel in designing robust algorithms and deploying advanced autonomous systems in practical environments? We invite you to join our vibrant team as a Robotics Autonomy Engineer specializing in Simulation. In this exciting role, you will develop, implement, and maintain cutting-edge autonomy software stacks, ensuring our robots can navigate and perform operations seamlessly in challenging settings. This is your opportunity to influence the future of robotics while collaborating with a team that prioritizes innovation, hands-on expertise, and impactful outcomes. If you're a software-savvy robotics aficionado eager to embrace thrilling challenges and create meaningful change, we want to hear from you!

Field AI is at the forefront of revolutionizing robot interactions with the physical world. Our mission is to develop risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, thereby unleashing the full potential of embodied intelligence. Unlike traditional data-driven methods or solely transformer-based designs, we are pioneering a novel direction, featuring globally deployed solutions that yield tangible results and continuously enhance models through practical field applications.

Field AI is at the forefront of revolutionizing robot interactions with the real world. We specialize in creating risk-aware, reliable, and field-ready AI systems designed to tackle the most intricate challenges in robotics, thereby unlocking the vast potential of embodied intelligence. Our approach transcends conventional data-driven methods and pure transformer architectures, as we carve out a new path with solutions already deployed globally, yielding tangible results while continuously enhancing models through real-world applications.Are you a robotics and software engineering aficionado? Do you excel in crafting robust algorithms and deploying state-of-the-art autonomous systems in real-world environments? Field AI is seeking a Robotics Autonomy Engineer to become an integral part of our innovative team. In this pivotal role, you will be responsible for developing, implementing, and maintaining cutting-edge autonomy software stacks, ensuring our robots can navigate and execute tasks seamlessly even in challenging settings. This is your opportunity to shape the future of robotics while collaborating with a team that prizes innovation, hands-on expertise, and results-driven outcomes. If you’re a software-savvy robotics enthusiast ready to embrace exciting challenges and make a real impact, this role is perfect for you!

About UsField AI is revolutionizing the way robots perceive and interact with their environments. Our mission focuses on developing risk-aware, robust, and field-ready AI systems that tackle the most intricate challenges in robotics. By pioneering new methodologies that transcend conventional data-driven strategies and solely transformer-based systems, we are already deploying solutions on a global scale, yielding tangible results and continuously refining our models through real-world applications.Hardware Team:The Hardware Team at Field AI is dedicated to creating perception and computational payloads that empower autonomous robotic systems in intricate real-world settings. Our expertise encompasses the entire hardware spectrum, including the design and integration of sensing technologies (LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). We prioritize both development (research, design, prototyping, testing) and operations (production, testing, quality assurance, debugging). As a dynamic, agile team, we are committed to enhancing: 1) core capabilities, 2) system reliability, and 3) scalability. We are also in the process of establishing operational systems and procedures from the ground up.Production Engineer Role:In the capacity of a Production Engineer, you will be responsible for overseeing the complete processes necessary for scaling the production of Field AI’s perception and computational payloads. This includes defining, optimizing, and refining production workflows; collaborating with contract manufacturers; implementing quality assurance and certification protocols; and aiding in the recruitment and development of a growing team of technicians.This position operates at the convergence of manufacturing engineering, systems integration, supply chain management, cost analysis, and operational strategy. You will play a vital role in ensuring that Field AI can scale production reliably and economically while upholding top-tier hardware quality.

Field AI is pioneering the evolution of robotic interactions with their environment. Our mission is to develop risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, thereby unlocking the true potential of embodied intelligence. We are moving beyond conventional data-centric methods and pure transformer-based architectures, embarking on a groundbreaking journey with solutions that are already deployed globally, delivering tangible results and rapidly enhancing models through real-world applications.In the role of ROS Developer, you will be instrumental in crafting advanced robotic applications utilizing our autonomy API across various industries such as oil & gas, construction, and mining. Your responsibilities will include the design, implementation, and optimization of perception, localization, and control modules using ROS/ROS2, creating production-level software for autonomous systems functioning in some of the most challenging environments worldwide. This position is perfect for engineers who are enthusiastic about sensor integration, robust system development, and the deployment of scalable autonomy solutions tailored for high-impact industrial applications.

At FieldAI, we are revolutionizing the interaction between robots and the real world. Our focus is on developing risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, thereby unlocking the full potential of embodied intelligence. We are pioneering a new direction that goes beyond conventional data-driven methodologies or solely transformer-based models, with globally-deployed solutions that yield real-world results and continually enhance models through practical field applications.About the RoleFieldAI is in search of a Vice President of Engineering to spearhead the engineering division responsible for scaling our autonomous robotics platform from initial deployments to extensive, sustained field operations. In this pivotal role, you will oversee software platforms and application engineering to ensure that our robots, tools, and infrastructure are meticulously designed, tested, released, and operated with the precision necessary for real-world autonomy at scale. Close collaboration with product, robotics, autonomy, and field operations leadership will be essential to align technical execution with a deployment-oriented roadmap. This position requires a blend of technical expertise, organizational leadership, and operational rigor, with a strong focus on reliability, repeatability, and system maturity.

Join Compa as a Senior Applied AI EngineerCompa is an innovative AI startup transforming the landscape of compensation management. As a venture-backed company, we are at the forefront of harnessing artificial intelligence to provide real-time compensation data that empowers enterprises to navigate the complexities of today's job market.In an era that demands agility and precision in hiring practices, Compa stands out by equipping leading organizations with the data they need to make informed pay decisions. Our clients include industry giants such as NVIDIA, Stripe, DoorDash, OpenAI, T-Mobile, Moderna, Workday, Ulta, and Target.Headquartered in Irvine, California, we have additional offices in Denver and San Francisco. Our collaborative team prioritizes transparency, ownership, and continuous learning, fostering an environment where in-person work is encouraged.Your Role:As a Senior Applied AI Engineer, you will spearhead initiatives across our product suite, driving the development of machine learning services from concept to execution. This role will allow you to make a tangible impact on our operations and product offerings.Key Responsibilities:Develop and deploy machine learning features that empower top companies to enhance their compensation strategies.Oversee end-to-end ML projects, including scoping, planning, data collection, model training, deployment, and experimentation.Collaborate closely with product and engineering teams to quickly prototype and iterate on ML solutions based on user feedback and business needs.Construct and maintain Compa’s ML infrastructure: develop models, establish deployment pipelines, and manage production systems for both enterprise clients and internal operations.Foster technical excellence by advocating for ML best practices within the team.

FieldAI is at the forefront of reimagining how robots engage with the world around them. Our Irvine team specializes in developing cutting-edge, risk-aware AI systems tailored for real-world applications. Nestled in the vibrant robotics hub of Southern California, we tackle complex challenges in robotics, unleashing the full power of embodied intelligence. If you're eager to see your innovations take flight in real hardware and enhance their capabilities through practical deployments, then our Irvine location is the ideal environment for you. We prioritize a comprehensive engineering approach that transcends traditional data-driven methods, integrating proven learning systems to yield globally deployed solutions that continuously evolve with each interaction in the field.About the JobAs a part of our Insight Team, you will lead the development of the Field-insight Foundation Model (FiFM), which empowers a global fleet of autonomous robots to gather extensive multimodal data from diverse environments daily. Your role as a Senior Machine Learning Platform Engineer will encompass ownership of the infrastructure that supports FiFM, overseeing everything from model hosting and distributed training pipelines to data systems and observability. This position uniquely blends systems engineering with machine learning, where you will design and manage large-scale ML platforms to facilitate our mission of deriving actionable insights from complex data.

Field AI is at the forefront of revolutionizing robot interactions with the physical world. We are committed to developing risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, thereby unleashing the full capabilities of embodied intelligence. Our approach transcends conventional data-driven methods or purely transformer-based architectures, paving a novel path with globally-deployed solutions that yield tangible results and continuously enhance models through real-world applications.About the Job:At Field AI, we are shaping the future of autonomy—spanning rugged terrains to real-world implementations. Our mission is to create intelligent, adaptable robotic systems that excel beyond simulations and thrive in unpredictable environments. As a Robotics Autonomy Engineer – Locomotion, you will spearhead the design and deployment of cutting-edge reinforcement learning-based controllers for legged and humanoid robots. Join our highly technical team dedicated to advancing real-world robotic capabilities through innovative research, simulation tools, and field validation. If the challenge of designing locomotion systems that can adeptly navigate complex, dynamic environments excites you, and you aspire to see your code make a tangible impact—this is the role for you. Welcome to Field AI.

Field AI is revolutionizing the interaction between robots and the real world. We are developing advanced, risk-aware AI systems designed to tackle intricate challenges in robotics, thereby unlocking the true potential of embodied intelligence. Our approach transcends standard data-driven methods and pure transformer architectures, paving a new path with globally deployed solutions that yield tangible results and continuously enhance models through real-world applications.Hardware Team:The Hardware Team at Field AI innovates perception and computational payloads that empower autonomous robotic systems to operate effectively in complex real-world environments. Our scope encompasses the entire hardware stack, from designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS) to embedded computation (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). We focus on both development (research, design, prototyping, testing) and operational phases (production, testing, QA, debugging). As a rapidly growing team, we are committed to enhancing core capabilities, system reliability, and scalability while establishing operational systems and procedures from the ground up. Electrical Systems Role:As an Electrical Engineer within the Hardware Team at Field AI, your contributions will be pivotal in designing and implementing electrical systems that facilitate power and communication across sensing and computational packages. Your responsibilities will cover power systems, wire harnesses, PCB design, and communications networks, ensuring our systems are electrically robust, safe, and scalable. You will engage in the full lifecycle from electrical CAD through to production and field support, collaborating closely with mechanical, sensor, and compute teams to create tightly integrated solutions ready for deployment in demanding field environments. While your primary focus will be electrical systems, your expertise may also extend across all hardware domains.