Senior Computer Vision and AI Engineer

Senior Computer Vision and AI Engineer At BrightAI, we are at the forefront of revolutionizing how businesses engage with the physical world through advanced intelligent automation. Our innovative AI platform processes visual, spatial, and temporal data across billions of real-world events, from edge devices and mobile sensors to extensive cloud systems. Our…

About Matroid At Matroid, we strive to empower machines to comprehend visual information just as humans do. Our innovative products, designed for users with no programming background, allow industries to leverage advanced computer vision solutions effortlessly. By deploying state-of-the-art deep neural networks either in the cloud or on-premise with just a click, we revolutionize how businesses operate. Founded in 2016 by a Stanford professor, we have successfully raised $33.5 million from top-tier investors including NEA, Energize Ventures, and Intel Capital. Our diverse clientele spans manufacturing, industrial IoT, and security sectors. We are seeking a passionate Software Engineering Intern to join our Full Stack team, contributing to the development of our computer vision platform. You will have the opportunity to work in our newly established office in downtown Palo Alto, conveniently located near Stanford University and Caltrain.

About xAIAt xAI, we are driven by our mission to develop AI systems that profoundly understand the universe and assist humanity in its quest for knowledge. Our team is composed of passionate individuals who thrive on challenges and curiosity, emphasizing engineering excellence. We maintain a flat organizational structure where every member is expected to actively contribute to our mission. Leadership is earned through initiative and consistent delivery of excellence, fostering a strong work ethic and prioritization skills. Effective communication is essential, enabling team members to share insights and knowledge clearly.About the RoleThe Compute Infrastructure team at xAI is tasked with the design, construction, and management of extensive clusters and orchestration platforms that facilitate cutting-edge AI training, inference, and agent workloads at an unprecedented scale. In this role, you will redefine container orchestration beyond current systems like Kubernetes, manage exascale computing resources, optimize for high-performance training runs and production services, and work closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that powers xAI's next-generation models and applications.ResponsibilitiesConstruct and oversee large-scale clusters to host, persist, train, and serve AI workloads with exceptional reliability and performance.Design, develop, and enhance an in-house container orchestration platform that surpasses off-the-shelf solutions in scalability, isolation, resource efficiency, and fault-tolerance.Collaborate with research teams to architect and optimize compute clusters tailored for extensive training runs, inference services, and real-time applications.Profile, debug, and resolve intricate system-level performance bottlenecks, resource contention, scheduling dilemmas, and reliability issues across the entire stack.Take ownership of end-to-end infrastructure initiatives employing first-principles design, rigorous testing, automation, and continuous optimization to meet the demands of frontier AI compute.

Join Klaviyo as a Senior Lead AI Engineer and be at the forefront of creating innovative AI solutions that enhance customer experiences and drive business growth. In this role, you will lead a team of talented engineers, collaborating on cutting-edge AI technologies and methodologies. Your expertise will help shape the future of our AI initiatives, making a significant impact on our product offerings.

Located in the heart of Silicon Valley, genbio is an innovative start-up where a dynamic team of scientists, engineers, and entrepreneurs is revolutionizing the fields of biology and medicine through the transformative capabilities of Generative AI. Our team is composed of trailblazers in AI and Biological Sciences, continually redefining the limits of what can be achieved. We envision a groundbreaking paradigm shift in biology and medicine.At genbio, our mission is to provide a comprehensive understanding of biology, paving the way for the next generation of life-altering solutions. As a pioneer in pan-modal Large Biological Models (LBM), we are leading a new chapter in biomedicine, with our LBM training facilitating extraordinary advancements and a reimagined approach to healthcare. Our robust R&D team and expertise in LLM and generative AI place us at the cutting edge of this transformative industry. With our headquarters in California and a branch office in Paris, we are set to make a significant global impact. Join us on our journey to reshape the future of biology and medicine through the revolutionary power of Generative AI.

Hippocratic AI develops generative AI technology designed for healthcare, focusing on safe and autonomous clinical conversations between patients and providers. Their proprietary large language models, built within the Polaris constellation, have reached an accuracy rate above 99.9%. The company is mission-driven, working to create the first healthcare-specific, safety-focused LLM with the goal of improving patient outcomes around the world. Leadership includes physicians, hospital executives, AI researchers, and technologists from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is well-funded, having recently completed a $126M Series C round at a $3.5B valuation, with total funding now at $404M from investors including Avenir Growth, CapitalG, General Catalyst, a16z, and others. Collaboration is central to the company’s culture. Team members work closely with leaders in healthcare and AI, advancing both clinical care and technology. Location and On-site Requirement This Senior Staff AI Engineer position is based in Palo Alto. The role requires on-site presence five days a week to support close collaboration and maintain a strong team culture, unless otherwise specified. Role Overview The Senior Staff AI Engineer leads technical strategy for voice-driven generative AI in healthcare. This role designs and builds core platforms that enable clinically safe healthcare agents, integrating large language models, real-time voice systems, and human-centered product design. As one of the most senior individual contributors, this engineer drives initiatives in retrieval-augmented generation (RAG), agent orchestration, evaluation, real-time voice technology, and safety. Key Responsibilities Partner with the executive team, AI researchers, product managers, and clinical experts to define and execute technical vision Design and build core platforms for healthcare AI agents, focusing on safety and clinical accuracy Mentor Staff and Senior engineers, guiding architectural decisions for future platform generations Represent Hippocratic AI in research and healthcare forums, contributing to the evolution of healthcare AI The work in this role directly influences patient care and the development of safe, effective AI solutions in healthcare.

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.

At PsiQuantum, our mission is to revolutionize the future of computing by developing the world's first practical quantum computers—machines designed to deliver unprecedented breakthroughs that the industry has long anticipated. Since our inception in 2016, we have dedicated ourselves to constructing and deploying million-qubit, fault-tolerant quantum systems. Our quantum computers leverage the principles of quantum mechanics to tackle complex challenges that are insurmountable for even the most powerful supercomputers and AI technologies. The transformative potential of quantum computing spans a multitude of sectors including energy, pharmaceuticals, finance, agriculture, transportation, materials, and beyond. Our innovative architecture is grounded in silicon photonics, allowing us to leverage advanced semiconductor manufacturing processes—collaborating with industry leaders like GlobalFoundries. This approach benefits from the scalability of photonics, which are immune to heat and electromagnetic interference, and seamlessly integrates with existing cryogenic cooling and fiber-optic infrastructure. In 2024, PsiQuantum announced government-funded projects aimed at establishing our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives underscore a growing consensus on the strategic and economic significance of quantum computing, signaling that now is the opportune moment for expansion. Additionally, PsiQuantum is actively engaged in developing the algorithms and software necessary to unlock the commercial potential of these systems. Our dedicated application, software, and industry teams collaborate closely with leading Fortune 500 companies such as Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical to tailor quantum solutions for tangible impact. Quantum computing signifies a paradigm shift beyond classical computing, representing a pathway to overcoming challenges that cannot be addressed through traditional methods. The possibilities are vast, and we have a clear roadmap to actualizing this potential. Join our team and be a part of this groundbreaking journey.

Position OverviewJoin our innovative team at Nace.ai as we push the boundaries of artificial intelligence through cutting-edge research in large language models (LLMs) and vision-language models (VLMs). We are in search of a talented AI Research Engineer with a strong focus on adaptive learning methodologies, including meta-learning and hypernetworks. Your role will encompass the design and implementation of advanced architectures for dynamic model adaptation, enhancing model reasoning capabilities, and effectively sharing insights with both research and engineering teams.Essential Qualifications:Demonstrated experience with LLMs or VLMs in both research and production environments.Strong foundational knowledge in Natural Language Processing, Machine Learning, or related fields, particularly in language model development.A proven history of tackling complex challenges in language understanding and generation, employing rigorous quantitative methods.Exceptional communication skills for conveying research findings to varied technical audiences.Proficiency in Python and familiarity with deep learning frameworks such as PyTorch, JAX, or TensorFlow, alongside experience in distributed training and model optimization.Desirable Qualifications:PhD in Computer Science, Computational Linguistics, or a closely related discipline with an emphasis on language models and adaptive learning frameworks.Substantial research and engineering background with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, supported by grants, fellowships, patents, or contributions to open-source initiatives.First-author publications in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals focusing on language models, meta-learning, hypernetworks, or adaptive AI.Preferred Technical Expertise:In-depth research knowledge in LLM reasoning, hypernetworks, multi-task learning, meta-learning, and the design of innovative LLM adaptation techniques, including online continual learning.

About MashginMashgin revolutionizes the checkout experience for over 40 million users globally. Our innovative kiosks allow customers to simply place their items down, and our advanced AI processes their entire order in under a second, making long lines a thing of the past.Our cutting-edge technology has facilitated over 1 billion transactions at renowned venues, including more than half of the US professional sports teams, 4,000 convenience stores, major airports, and universities.We are committed not only to developing state-of-the-art AI but also to making a significant real-world impact. As a profitable Series B funded AI startup, we stand out in the industry.What drives us? A culture defined by extreme ownership, autonomy, and an unwavering dedication to customer satisfaction. At Mashgin, we are breaking the mold and focusing on what truly matters: creating exceptional products that leave users amazed. We prioritize long-term success over short-term gains, building robust systems that endure. If you excel in an environment of uncompromising excellence and seek to make an immediate, remarkable impact, we welcome you.Position SummaryWe are on the lookout for a dedicated Computer Vision Engineer with a passion for tackling everyday vision challenges. If you find yourself thinking, “This could be solved with computer vision!” and have a flair for experimenting with innovative algorithms, we want you on our dynamic team. You will design and implement advanced Computer Vision algorithms that enhance the daily experiences of our customers.

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 VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents designed to learn, evaluate, plan, experiment, and interact with the physical environment. Our initial focus lies in understanding and innovating hardware, specifically in electronics systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About Our TeamOur team is backed by prominent investors from Silicon Valley, Stanford University, and high-profile leaders from companies like Google, AMD, Broadcom, and Marvell. We comprise former Stanford faculty, researchers from SAIL, medalists from international Olympiads, and executives from leading tech firms, including Synopsys and GlobalFoundries, alongside notable figures from the U.S. government.Key ResponsibilitiesDevelop and optimize MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field challenges on intricate 3D IC geometries utilizing multi-node GPU clusters.Enhance and extend AMG preconditioners, Krylov solvers, and mesh pipelines, ensuring performance and correctness at scale.Construct and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.Design simulation pipelines that yield training data for neural operator models, addressing sampling strategies, mesh management, and physical consistency checks.Conduct thorough validations, including analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.QualificationsPhD in Computational Physics, Applied Mathematics, Computational Engineering, or a closely related discipline.Extensive knowledge of numerical PDE methods: FEM, FVM, or BEM, including weak formulations, quadrature, convergence, and error analysis.Proficient in C++ and CUDA, with a focus on writing and optimizing kernels, memory hierarchy management, and multi-GPU programming.Experience with multi-node HPC: MPI, domain decomposition, collective communication, and scaling strategies.Deep understanding of sparse linear algebra, including Krylov methods, algebraic multigrid, and preconditioning techniques.Hands-on experience with neural operators (FNO, DeepONet, or similar), encompassing training, architecture design, and evaluation on PDE datasets.Solid grasp of AI applications in scientific research.

At PsiQuantum, we are committed to revolutionizing the future of computing by creating the first practical quantum computers. Our focus since 2016 has been on developing and deploying million-qubit, fault-tolerant quantum systems that will unlock new frontiers in technology.Quantum computing harnesses the principles of quantum mechanics to tackle challenges that are beyond the capabilities of even the most advanced supercomputers or AI systems, impacting various sectors including energy, pharmaceuticals, finance, agriculture, transportation, and materials.Our innovative architecture is rooted in silicon photonics, allowing us to leverage the cutting-edge semiconductor manufacturing industry with partners like GlobalFoundries. This enables us to utilize high-volume production processes already in place for telecom and consumer electronics, with photonics offering significant advantages such as thermal immunity and integration with existing fiber-optic infrastructure.In 2024, PsiQuantum announced several government-funded initiatives to establish our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects highlight the increasing acknowledgment of quantum computing as a pivotal technology for the future.Beyond hardware, PsiQuantum is actively developing the necessary algorithms and software to ensure our systems deliver real-world value. We collaborate closely with renowned Fortune 500 companies like Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical to prepare quantum solutions for tangible applications.Quantum computing is not merely an extension of classical computing; it signifies a transformative leap that provides solutions to problems currently unsolvable by any other means. The potential for innovation is immense, and we are on a clear path to realizing this vision.Join us on this exciting journey to shape the future of technology.

Why Zania? Zania is focused on transforming how enterprises approach Governance, Risk, and Compliance (GRC). Many organizations still rely on outdated systems that struggle to keep up with today’s needs. Our team is building agentic AI solutions to automate and improve complex risk and compliance workflows. Work with top-tier clients: Partner with major enterprises, including FAANG companies and Big 4 firms. Strong financial support: Backed by a leading venture capital fund, Zania has the resources to pursue ambitious goals. Experienced colleagues: Join a team with backgrounds at Airbnb, Microsoft, Deloitte, and other industry leaders. Applied AI technology: Contribute to advanced AI that is changing how compliance is managed. Significant growth: Zania has achieved 10x ARR growth over the past year. Compensation: Competitive salary and equity packages are offered. Role Overview: Senior Design Engineer, AI for GRC This Senior Design Engineer position centers on building AI agents for Governance, Risk, and Compliance. The goal: replace legacy GRC tools like Archer and ServiceNow GRC with intelligent, adaptive solutions. The work spans both improving current workflows and rethinking how compliance and risk management function in an AI-driven world. Zania values functional software over static prototypes. In this role, lead the design vision and technical delivery of user experiences. Collaborate closely with Fortune 500 clients, engineers, and company leadership. Expect to create interactive, coded prototypes that set a new standard for usability and capability in GRC tools. This role is based in Palo Alto, CA. In-person collaboration is encouraged to support innovation.

Senior AI Engineer - Time-Series Signal Processing Bright.AI, a rapidly growing Physical AI firm, is revolutionizing the interaction between businesses and the physical environment through advanced intelligent automation. Our innovative platform processes an immense volume of visual, spatial, and temporal data derived from billions of real-world events, captured via edge devices, mobile sensors, and extensive cloud infrastructure, to facilitate intelligent, real-time decision-making. We are excited to invite applications for the position of Senior AI Engineer – Time-Series Signal Processing. In this pivotal role, you will spearhead the development of AI/ML solutions harnessing high-frequency, multi-modal sensor data. Your focus will be on modeling and interpreting time-series signals from IoT devices equipped with various sensors (IMU, acoustic, pressure, temperature, etc.), which are essential for driving intelligent automation across diverse physical infrastructure systems. Your efforts will involve crafting state-of-the-art real-time AI models that effectively process noisy, high-throughput data streams, yielding valuable insights for practical decision-making—both at the edge and cloud levels.

About Arc InstituteThe Arc Institute is a pioneering scientific institution dedicated to curiosity-driven fundamental research and technology advancement aimed at understanding and addressing complex human diseases. Based in Palo Alto, California, Arc operates as an independent research organization, collaborating closely with renowned institutions like Stanford University, UCSF, and UC Berkeley.While traditional university research has achieved remarkable outcomes, we advocate for innovative institutional models that can foster significant progress. Our core principles include:Funding: We fully support our Core Investigators' research endeavors, freeing scientists from the limitations of project-specific external grants.Technology: As biomedical research increasingly relies on sophisticated tools, our Technology Centers focus on developing, optimizing, and deploying cutting-edge experimental and computational technologies in partnership with Core Investigators.Support: We are committed to offering exceptional operational, financial, and scientific support to empower scientists in pursuing long-term, high-risk, high-reward projects that aim to make breakthroughs in curing diseases, including neurodegeneration, cancer, and immune dysfunction.Culture: We recognize the critical role of culture in scientific excellence and strive to cultivate an environment driven by scientific curiosity, unwavering commitment to truth, broad ambitions, and selfless collaboration.With a team of over 300 individuals, $650 million in committed funding, and a state-of-the-art laboratory facility in Palo Alto, we are poised to make a significant impact in the scientific community.Why this role could be your ideal opportunityTransform Data into Discovery: Step beyond conventional pipelines. You will spearhead our “Tertiary Analysis” initiatives, converting raw data into mechanistic insights that elucidate interactions between genes, drugs, and environments.Be Part of an Innovative Research Organization: Experience the dynamic fusion of startup agility and the intellectual rigor characteristic of a premier academic institute.Access Premier Datasets: Enjoy exclusive access to extensive, high-quality datasets—from T-cells and NGN2 neurons to comprehensive chemogenetic screens—specifically designed for large-scale scientific discovery.Lead with Independence: While a dedicated team manages essential bioinformatics infrastructure, you will have the autonomy to drive your research initiatives.

Senior AI Engineer – LLM and Retrieval-Augmented Generation Bright.AI is a rapidly growing Physical AI enterprise that is revolutionizing the way organizations engage with the physical environment through advanced intelligent automation. Our AI platform analyzes visual, spatial, and temporal data from countless real-world events captured via edge devices, mobile sensors, and cloud infrastructures to facilitate intelligent decision-making on a large scale. We are seeking a Senior AI Engineer specializing in LLM and RAG to spearhead the development of Retrieval-Augmented Generation (RAG) systems. These systems utilize large language models (LLMs) combined with real-time knowledge sources to create next-generation intelligent assistants that aid technicians and operators in diagnosing and resolving intricate issues in industrial contexts. Your role will place you at the intersection of Natural Language Processing (NLP), foundational models, and real-time information systems, designing intelligent tools that convert manuals, technician notes, and sensor data into actionable conversational guidance for real-world applications.

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.

At PsiQuantum, our mission is to revolutionize computing by creating the first practical quantum computers. With our foundation laid in 2016, we are dedicated to developing and deploying million-qubit, fault-tolerant quantum systems that promise to transform our understanding of computation. Quantum computers leverage the principles of quantum mechanics to tackle problems that are beyond the capability of even the most powerful supercomputers or AI systems. The applications of this technology are vast, impacting industries such as energy, pharmaceuticals, finance, agriculture, transportation, and materials science. Our innovative architecture is grounded in silicon photonics, utilizing advanced semiconductor manufacturing processes in collaboration with partners like GlobalFoundries. This approach allows us to produce high-volume, efficient systems that harness the unique properties of photons, which are not affected by heat and are immune to electromagnetic interference. In 2024, PsiQuantum announced government-supported initiatives to establish our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects signify a pivotal moment in recognizing the strategic and economic importance of quantum computing and our commitment to scaling our efforts. Beyond hardware, we also develop the essential algorithms and software that will bring our systems to market. Collaborating with industry leaders like Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, we are translating quantum solutions into tangible benefits for the real world. Quantum computing is not merely an enhancement of classical computing; it represents a paradigm shift that enables us to tackle challenges previously deemed unsolvable. The potential is immense, and we have a clear strategy to manifest this vision. Join us on this groundbreaking journey.

Role Overview PsiQuantum is seeking a Senior Product Engineer focused on Photonic Integrated Circuits (PIC) in Palo Alto, California. This position plays a key part in advancing product development for quantum computing hardware. The engineer will apply deep technical knowledge to guide innovation and ensure products align with client requirements and industry progress.