Applied AI Engineer at Qualified Health | Palo Alto

At code-metal, we are on a mission to revolutionize hardware deployment by matching the rapid pace of software development. Our innovative work focuses on automatic code transpilation and optimization for diverse hardware applications.As an AI Research Engineer, you will work alongside a dynamic team of researchers, tackling groundbreaking projects in genera…

AI Research Engineer, Scaling | InfrastructureLocation: Palo Alto, CA (on-site)At 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various sectors.The Role: As an AI Research Engineer specializing in Scaling, you will be responsible for architecting and implementing robust infrastructure that facilitates large-scale training, evaluation, and deployment for our fleet of robots. Your contributions will be essential in transitioning experimental systems into production-ready platforms, optimized for throughput, latency, and overall performance in both datacenter and edge environments. This role will significantly impact the efficiency of learning and inference processes, directly influencing the capabilities of our general-purpose humanoid robots.

At Rhoda AI, we are pioneering a comprehensive platform for the next generation of humanoid robots. Our cutting-edge technology encompasses high-performance, software-defined hardware alongside sophisticated foundational models and video world models. Our robots are crafted to be versatile and capable of navigating complex, real-world scenarios that may not be covered in traditional training. We are at the forefront of large-scale learning, robotics, and systems integration, boasting a research team that includes esteemed professionals from Stanford, Berkeley, Harvard, and other prestigious institutions. With over $400 million raised, we are committed to significantly investing in research and development, hardware innovation, and scaling up our manufacturing processes to realize our vision.We are seeking a talented mid-to-senior Application Engineer who will be instrumental in translating real-world customer use cases into effective intelligent robot deployments. You will engage in the design, prototyping, and enhancement of grippers, end-of-arm tooling, workstations, and integration hardware. Additionally, you will develop efficient strategies for robot learning and data collection, operating at the confluence of robotics, artificial intelligence, hardware, and deployment operations.

About UsAt Odyssey, we are at the forefront of artificial intelligence research, developing cutting-edge general-purpose world models. These innovative multimodal intelligence frameworks are set to transform consumer, enterprise, and intelligence applications. Our flagship model, Odyssey-2 Pro, exemplifies our commitment to pioneering advancements in AI.OpportunityWe are seeking passionate research interns for 2026 to collaborate with our expert machine learning research teams. This internship is designed for PhD students eager to expand the horizons of visual AI by developing and executing a research project focused on enhancing general-purpose world models. You will have access to Odyssey's extensive research and engineering resources, data, and computational capabilities, making a tangible impact on our publicly available models.Candidate ProfileThe ideal candidate is currently pursuing a PhD or a similar advanced degree and has relevant research experience to share. You should be available to work from our offices in Palo Alto or London, with flexibility to conduct research at any time throughout the year.Your RoleDuring this internship, you will undertake a 3-6 month research project aimed at producing publishable results in the field of general-purpose world models. We welcome a diverse range of research topics that contribute to advancing visual AI. This project will enhance your academic portfolio and will be supported by mentorship from our research teams and technical infrastructure to ensure your success.Application ProcessTo apply, please submit a concise research proposal outlining the project you wish to pursue, limited to one page. This proposal will help us shape the scope of potential projects in collaboration with selected candidates and the Odyssey research team.

About UsAt Hippocratic AI, we are pioneers in the realm of generative AI for healthcare. Our innovative system enables safe and autonomous clinical dialogues with patients, achieving over 99.9% accuracy through our proprietary large language models (LLMs) within the Polaris constellation.Why Join Our TeamTransform healthcare with safety in mind. We are developing the world’s first healthcare-specific, safety-centric LLM, a revolutionary platform aimed at enhancing patient outcomes globally. This represents a new category in healthcare technology.Collaborate with industry leaders. Co-founded by CEO Munjal Shah alongside a team of esteemed physicians, hospital executives, AI innovators, and researchers from top institutions such as El Camino Health, Johns Hopkins, Stanford, Google, and NVIDIA.Supported by premier investors. Recently, we secured $126M in Series C funding at a $3.5B valuation, led by Avenir Growth, contributing to a total funding of $404M from notable investors including CapitalG, General Catalyst, and a16z.Work with the best minds in healthcare and AI. Join a team dedicated to improving healthcare, advancing science, and creating transformative technologies that ensure our platform is powerful and trusted.About the RoleAs an AI Engineer at Hippocratic AI, you will be instrumental in advancing voice-based generative AI in healthcare. Your responsibilities will include designing and developing intelligent systems that power our clinically safe healthcare agents, integrating large language models with real-time voice technology and human-centered design.This is a hands-on, cross-functional position, requiring close collaboration with AI researchers, product managers, and clinical experts to deploy advanced language and speech models. Your contributions will significantly shape how patients and providers interact safely with generative AI.

AI Research Engineer, Data InfrastructureLocation: Palo Alto, CA (on-site)About 1XAt 1X, we are at the forefront of innovation, developing humanoid robots designed to collaborate with humans, effectively addressing labor shortages while fostering abundance across industries.The RoleAs an AI Research Engineer specializing in Data Infrastructure, you will play a pivotal role in designing and implementing a comprehensive data engine to efficiently manage the vast data generated by our humanoid robot fleet. Your contributions will ensure that this data is readily accessible for querying and training, supporting the development of high-quality data pipelines that facilitate effective model training, large-scale data annotation, and seamless integration across robotic, on-premise, and cloud-based systems.

Join Our Team as a Software Engineer, SimulationLocation: Palo Alto, CA (On-site)About 1xAt 1x, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various sectors.Your RoleAs a Software Engineer specializing in simulation, you will be instrumental in creating and enhancing simulation environments and real-time infrastructures that significantly boost robot learning. Your contributions will empower our AI team to rapidly iterate on research by minimizing reliance on physical robot evaluations. You'll be tasked with constructing highly realistic simulation environments, scaling simulation data, and facilitating the connection between simulated and real-world robot behaviors. Furthermore, you'll prototype cutting-edge hardware in simulation and assist with training and evaluation tasks across different teams.

About UsAt Newcode.ai, we are dedicated to transforming how businesses integrate AI into their everyday operations. In just a few months, we have transitioned from concept to reality by creating products that our clients genuinely appreciate. As part of our dynamic and ambitious team, you will not only influence the future of AI but also help define it.Position OverviewWe seek a passionate Frontend Engineer to join our team at Newcode.ai. You will play a pivotal role in shaping the user experience of our AI-driven solutions. Engaging directly with a modern technology stack—Next.js, React, TypeScript, Tailwind CSS, shadcn/ui, React Query, Zustand—you will breathe life into our complex AI products through seamless and high-quality interfaces.This is not just a role where you follow specifications; you will own the frontend development process, making architectural decisions and refining interaction details. If you are enthusiastic about experimenting with new tools, have a keen eye for craftsmanship, and desire to build a product from scratch, this is the ideal opportunity for you.Collaboration is key; you will work closely with product and backend teams, significantly influencing both the design and architecture of our frontend stack. We value initiative and encourage every team member to contribute to shaping the product and leaving a lasting impact.

At Simular, we are at the forefront of AI research, pushing the boundaries of what is possible in machine learning and artificial intelligence. We are seeking a passionate and driven PhD Research Intern to join our innovative team. This position may be based in any of our listed locations, with priority determined according to the order of listing.Your Role:Work closely with our talented research scientists to enhance methodologies in the following areas:Planning and Reinforcement Learning (RL) for computer applications, including behavioral cloning and RL on model weights.Multimodal grounding, focusing on vision-only models and hybrid methods incorporating large models.Reward and Judge Modeling, encompassing error analysis and human evaluation.Understanding user intent, particularly in modeling vague queries and preference learning.Assist in dataset development, conduct experiments, and benchmark results.Investigate innovative approaches to support Simular's long-term technical roadmap.Document and share findings through detailed internal reports and academic-style writing.

Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.

Hippocratic AI is building generative AI systems for healthcare, focused on safe, autonomous clinical conversations. The company’s proprietary large language models (LLMs) power these interactions, achieving an accuracy rate above 99.9%. This team is developing a healthcare-exclusive, safety-first LLM platform with the goal of improving patient outcomes worldwide. The company is led by CEO Munjal Shah and a group of physicians, hospital executives, AI researchers, and engineers from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading investors in healthcare and AI, including Avenir Growth, CapitalG, General Catalyst, and a16z. The company recently completed a $126 million Series C round, reaching a $3.5 billion valuation and $404 million in total funding. Role overview The Staff AI Engineer will shape the technical direction for voice-based generative AI in healthcare. This position involves designing intelligent systems that enable clinically safe healthcare agents, blending expertise in large language models, real-time voice interaction, and user-centered product development. This is a hands-on role with significant impact. The Staff AI Engineer will oversee one or more core AI domains, such as retrieval-augmented generation (RAG), agent orchestration, evaluation, or real-time voice. Collaboration with AI researchers, product managers, and clinical experts is central, as is mentoring engineers across the organization. Contributions in this role will influence how patients and providers interact with generative AI at scale. Hippocratic AI seeks experienced technical leaders who want to apply AI to real-world healthcare challenges and set high standards for technical excellence. Location requirement This position is based in Palo Alto and requires in-person attendance at the office five days a week unless otherwise specified.

About Hippocratic AI Hippocratic AI develops generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models (LLMs), part of the Polaris constellation, have achieved over 99.9% accuracy in clinical interactions. Our Mission and Team The goal at Hippocratic AI is to build the first healthcare-exclusive, safety-focused LLM platform to improve patient outcomes worldwide. The company was co-founded by CEO Munjal Shah, alongside physicians, hospital leaders, AI researchers, and scholars from institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading healthcare and AI investors. The company recently closed a $126M Series C round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and individuals like John Doerr and Rick Klausner. Role Overview: Performance Engineer The Performance Engineer will own performance across the entire technology stack. This role involves building automated testing harnesses to uphold system integrity, regularly evaluating models, microservices, and infrastructure. The position also includes responsibility for VoIP quality characterization. The scope covers machine learning infrastructure, backend services, and real-time communications. Key Responsibilities Design and maintain automated performance testing frameworks for the full system, including LLM inference, REST/gRPC microservices, and infrastructure components (PostgreSQL, Redis, message queues, object storage). Integrate performance testing suites into CI/CD pipelines to monitor deployments for latency and throughput regressions. Define SLIs and SLOs, and build dashboards (such as Grafana) to give engineering teams real-time visibility into system health. Location This position is based in Palo Alto.

Join us at Rhoda AI, where we are pioneering the full-stack foundation for the next generation of humanoid robots. Our mission encompasses everything from high-performance, software-defined hardware to the foundational models and video-based world models that govern them. Our robots are designed to navigate complex, real-world environments and tackle scenarios that have not been encountered during training. We are a collective of top-tier researchers from esteemed institutions like Stanford, Berkeley, and Harvard, focusing on the intersection of large-scale learning, robotics, and systems. With over $400M raised, we are committed to substantial investments in R&D, hardware development, and scaling manufacturing to bring our vision to life.As a Robotics Software Engineer, you will play a crucial role in developing and maintaining the software that drives our robots. Your primary focus will be on integrating sensors and perception systems to facilitate reliable operations in varied customer environments.

At Rhoda AI, we are pioneering the development of the full-stack architecture for the future of humanoid robotics. Our innovative work spans from high-performance, software-defined hardware to foundational models and visual models that govern it. Our robots are designed as generalists, capable of navigating complex, real-world environments and addressing scenarios that were not included in their training. We collaborate at the intersection of large-scale learning, robotics, and systems, with an exceptional research team featuring experts from Stanford, Berkeley, Harvard, and other prestigious institutions. We are not merely creating a feature; we are establishing a groundbreaking computing platform for physical tasks. With over $400M raised, we are heavily investing in R&D, hardware development, and scaling up manufacturing to turn our vision into reality.We are seeking a talented Full Stack Software Engineer to contribute to the development of our crucial automation platform. This tool is vital for how we gather data, validate task performance, manage model versions, and quickly iterate on model training and deployment.

Join acryldata, an innovative leader in AI and data management, as we revolutionize the way enterprises utilize their data. Our flagship product, DataHub, is an AI & Data Context Platform trusted by over 3,000 organizations, including industry giants like Apple, CVS Health, Netflix, and Visa. Developed in collaboration with a vibrant open-source community of over 13,000 contributors, DataHub's metadata graph offers unparalleled insights into AI and data assets, ensuring exceptional scalability and flexibility.Our enterprise SaaS solution, DataHub Cloud, provides a fully managed platform equipped with AI-driven discovery, observability, and governance features. Businesses depend on DataHub to accelerate the realization of their data investments, guarantee the reliability of AI systems, and establish cohesive governance frameworks, thus harmonizing AI and data to mitigate data chaos.The ChallengeAs AI and data products grow increasingly vital, organizations encounter a metadata crisis:Lack of a unified approach to monitoring the intricate data supply chains fueling AI systems.Engineering teams facing hurdles in data discovery, lineage tracking, and governance.Organizations demanding machine-scale metadata management that goes beyond human-browsable catalogs.Why This MattersThis is where infrastructure meets impact. The metadata layer you will develop will be instrumental in powering the next generation of AI systems at a large scale. Your contributions will influence how thousands of organizations deploy AI safely and effectively, impacting millions of users across the globe.The RoleWe are in search of a highly skilled Python engineer to spearhead the development of DataHub's ingestion framework—the backbone that links various data systems and enhances our metadata collection capabilities.You Will BuildResilient, scalable ingestion systems for enterprise-level metadata.Clean, user-friendly APIs for our connector ecosystem.Event-driven architectures for real-time metadata processing.Schema mapping for diverse systems integrated with DataHub's unified model.Versioning systems for AI assets, including training data, model weights, and embeddings.

1XFounded in 2015, 1X is pioneering the development of sophisticated humanoid robots tailored for household applications. Our vision is to create an abundant workforce through safe and intelligent humanoid technology.We are committed to excellence in all our endeavors, tackling the toughest challenges in robotics alongside some of the brightest minds in the industry. Every component of our robots, from motor coils to artificial intelligence, is designed and manufactured in-house, showcasing our vertically integrated approach. At 1X, you will lead significant projects, receive recognition for your contributions, and be rewarded based on your performance.At 1X Labs, our goal is to drive the science and technology that facilitate human-level, general-purpose humanoids.We rigorously analyze the gap between current humanoid capabilities and the standards expected for human-level performance. This involves a deep dive into fundamental principles, taking innovative and often unconventional routes, developing groundbreaking technologies, and translating these advancements into tangible products. Our unique position allows us to transform research findings into market-ready solutions through our cohesive integration of materials, component design, systems engineering, and manufacturing.Humanoids represent a highly integrated system where genuine progress occurs only when advancements in sensing, actuation, materials, control, and intelligence harmoniously evolve—pushed to their functional limits. 1X Labs is shaped by individuals who have extensive expertise in their respective fields, capable of reasoning confidently at these boundaries and engaging meaningfully with adjacent domains, understanding which constraints are truly significant.You possess deep capabilities in your field—your intuition honed through years of tackling complex, tangible problems. Interdisciplinarity is not merely an identity for you; it is a natural outcome of mastery in systems where no single discipline suffices.You thrive in environments that value technical depth, where ideas are rigorously tested against real-world applications, and research is only validated when it successfully reaches the market..

Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.

Why Join Zania?At Zania, we are on a mission to revolutionize Governance, Risk, and Compliance (GRC) through innovative technology. With enterprises investing millions in GRC, the sector is primed for transformation. Our cutting-edge agentic AI is designed to tackle the complexities of compliance and risk management effectively, setting new benchmarks in the industry.We are experiencing rapid growth and are looking for talented individuals to join our team. Here are some compelling reasons to consider a career with us:Prestigious Clientele: Collaborate with leading global enterprises such as FAANG and top-tier firms.Strong Financial Backing: Supported by a top-tier venture capital firm, enabling us to build a legacy company.Exceptional Team: Work alongside industry leaders from renowned companies like Airbnb, Microsoft, and Deloitte.Innovative Technology: Engage in pioneering applied AI projects that are shaping the future of compliance.Rapid Expansion: Join us as we celebrate a remarkable 10x growth in annual recurring revenue over the past year.Attractive Compensation: We offer competitive salaries and equity options.Position OverviewAs an Applied AI Engineer at Zania, you will spearhead the development of advanced AI systems that surpass traditional methods in GRC. Your focus will be on building production-level AI solutions with an emphasis on accuracy, innovation, and ethical considerations. This position is located in our Palo Alto office, and we provide relocation assistance for qualified candidates.Your ResponsibilitiesModel Development: Fine-tune foundational AI models using proprietary datasets and implement cutting-edge techniques to enhance precision in GRC tasks.AI Workflow Creation: Design and develop intricate agentic workflows that optimize compliance processes.

About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration, believing in the transformative power of AI to reshape society. With our diverse talent spanning Europe, the USA, and Asia, we embrace a culture of low-ego teamwork and competitive spirit.At Mistral, we focus on developing advanced AI models for both enterprises and consumers, aiming to revolutionize business operations and enhance everyday life through open-source technology that everyone can leverage.Join Mistral and contribute to a pioneering organization at the forefront of AI innovation.Key Responsibilities* Innovate and develop advanced methodologies to elevate the capabilities of large language models.* Explore diverse use cases and modalities, including reasoning, code generation, and multimodal applications (text, image, speech).* Create robust tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate with interdisciplinary teams of scientists, engineers, and product developers to deliver impactful AI solutions.Qualifications* Proficient software engineer with expertise in at least one programming language (Python, Rust, Go, Java).* Practical experience with AI frameworks (e.g., PyTorch, JAX) and distributed systems (e.g., Ray, Kubernetes).* Strong engineering skills, capable of architecting complex software for production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Hands-on experience in training large transformer models in distributed settings.* Familiarity with the complete MLOps workflow, including fine-tuning, evaluation, and deployment.