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Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.
We are on the lookout for top-tier researchers to engage in groundbreaking AI research, tackling a diverse array of challenges associated with LLM modeling, training, data management, evaluation, and beyond. As a dynamic startup, our team is highly collaborative and hands-on; researchers are empowered to design and execute large-scale experiments and to build and deploy models in a production environment.
Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.…
At Rhoda AI, we are pioneering the development of a comprehensive platform for the next generation of humanoid robots. Our ambition encompasses everything from high-performance, software-defined hardware to the foundational models and video world models that govern their operations. Our robots are engineered as versatile generalists, adept at navigating intricate, real-world environments and addressing scenarios that are not encountered during training. We operate at the confluence of large-scale learning, robotics, and systems, with a research team that includes esteemed researchers from Stanford, Berkeley, Harvard, and other renowned institutions. Rather than merely enhancing a feature, we are constructing an entirely new computing platform dedicated to physical tasks. With over $400M raised, we are aggressively investing in research and development, hardware innovation, and scaling up manufacturing to realize this vision.Key ResponsibilitiesLead research initiatives focused on foundational models and world models for robotics, including representation learning, dynamics/prediction, planning, and control.Define research challenges and formulate hypotheses rooted in real-world robotic autonomy requirements.Design and execute rigorous experiments at scale, encompassing ablations, benchmarking, and evaluation methodologies.Develop and assess model architectures aimed at enhancing long-horizon predictions, rollout quality, and overall robotic task performance.Investigate and improve pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large multimodal models.Collaborate closely with Research Engineers to translate innovative ideas into scalable training pipelines and dependable systems.Effectively communicate research findings through internal documentation, presentations, and reviews.Publish and present research at prestigious venues.Required QualificationsPh.D. in a relevant discipline such as Machine Learning, Robotics, Computer Science, Electrical Engineering, Applied Mathematics, or Computer Vision.Demonstrated strong publication record in high-quality research (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR).In-depth knowledge of current machine learning techniques, particularly in areas such as:Deep learning and representation learning.Sequence modeling and transformers.Generative modeling (e.g., diffusion, autoregressive, latent-variable models).
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.
Full-time|$180K/yr - $300K/yr|On-site|Palo Alto, California, United States
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.
Full-time|$180K/yr - $300K/yr|On-site|Palo Alto, California, United States
AI Research Engineer, World ModelsPalo 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 industries.The RoleAs an AI Research Engineer specializing in world models, you will create expansive multi-modal generative models that project future sensor inputs and robotic actions derived from historical data. These foundational models empower robots to comprehend and navigate complex real-world environments. Your responsibilities will span data engineering, model architecture, and deployment, with the goal of enhancing robot autonomy. This position merges innovative research with pragmatic product development, challenging the boundaries of robotic intelligence.
About the Arc Institute The Arc Institute is an innovative scientific research organization dedicated to conducting groundbreaking basic science and technology development focused on understanding and treating complex human diseases. Based in Palo Alto, California, we operate independently while collaborating with leading institutions such as Stanford University, UCSF, and UC Berkeley. We believe that advancing scientific research requires new institutional models. Our approach includes: Comprehensive Funding: We fully finance our Core Investigators’ research teams, freeing them from the traditional constraints of project-based external grants. Advanced Technology: Recognizing the growing complexity of biomedical research, our Technology Centers develop, optimize, and deploy cutting-edge experimental and computational technologies in partnership with our Core Investigators. Exceptional Support: We provide unparalleled operational, financial, and scientific support, enabling researchers to undertake ambitious, high-risk projects aimed at significant advancements in curing diseases such as neurodegeneration, cancer, and immune dysfunction. Cultivating a Positive Culture: We prioritize a research environment that nurtures scientific curiosity, a commitment to truth, broad ambition, and collaborative spirit. Having grown to over 350 staff with more than $650 million in committed funding and a state-of-the-art lab facility, the Arc Institute is poised for rapid expansion in the coming years. About the Position The Zhou Lab is seeking passionate, diligent, and inquisitive candidates. Our specialization lies in single-cell epigenomic modeling, utilizing high-throughput single-cell multiomic technologies and computational models to investigate the spatiotemporal dynamics of gene regulation. The chosen applicant will be pivotal in pushing the boundaries of generative AI applications in biology, focusing on DNA sequences, gene regulation, and perturbation modeling. You will be tasked with developing machine learning models tailored for biological data by leveraging innovative ML architectures, interpretability techniques, and more. Furthermore, your models will be applied to significant computational biology tasks, including genome mining and molecular interaction analysis.
At GenBio AI, we are pioneering the development of multiscale foundation models aimed at decoding and simulating human biology. Our vision is to empower scientists to tackle some of humanity's most significant challenges in drug discovery, healthcare, and fundamental research through our innovative AIDO (AI-Driven Digital Organism) framework, which facilitates the prediction, simulation, and programming of biological systems across various scales. We are laying the groundwork for this ambitious future by engineering virtual cells that model and simulate the fundamental unit of life.Our team is composed of a diverse and talented group of product-focused researchers and engineers who are committed to making this vision a reality. We take pride in our robust engineering culture, which fosters interdisciplinary collaboration. Headquartered in Palo Alto, we also have satellite offices in Paris and Abu Dhabi.In your role as an AI Engineer, you will develop AI scientists capable of performing autonomous biomedical research utilizing GenBio’s virtual instruments and simulators. Your successful contributions will play a crucial role in rapidly designing and orchestrating comprehensive biological simulation studies aimed at drug design, healthcare innovations, and biotechnology advancements.
At Ricursive Intelligence, we are pioneering advancements in artificial intelligence by creating self-improving systems with a focus on innovative chip design. Our mission is to revolutionize chip development, effectively bridging the gap between AI and the hardware that supports it, thereby accelerating the journey towards artificial superintelligence.We are seeking exceptional engineers who are passionate about tackling a wide range of challenges in scaling, low-level optimization, and the fundamental infrastructure necessary for large language model training and inference.
About UsHippocratic AI is at the forefront of generative AI in healthcare, possessing the only system capable of conducting safe, autonomous clinical conversations with patients. Our proprietary LLMs, part of the Polaris constellation, boast an impressive accuracy rate exceeding 99.9%.Why Join Our TeamBe a part of a healthcare revolution with AI centered on safety. We are developing the first healthcare-exclusive, safety-driven LLM — a groundbreaking platform aimed at significantly improving patient outcomes globally. This is an opportunity to shape a new category in healthcare technology.Collaborate with pioneers in the field. Co-founded by CEO Munjal Shah and a talented group of physicians, hospital leaders, AI experts, and researchers from prestigious institutions such as El Camino Health, Johns Hopkins, and Stanford, among others.Supported by top-tier investors in healthcare and AI. We have successfully raised $126M in Series C funding, achieving a valuation of $3.5B, with total funding reaching $404M from notable participants including Avenir Growth, CapitalG, and a16z.Work alongside industry leaders. Join a team of experts dedicated to enhancing care, advancing scientific knowledge, and developing transformative technologies that ensure our platform remains powerful and reliable.Location RequirementThis role requires in-office presence at our Palo Alto facility five days a week to foster collaboration and a strong team culture.
Full-time|$100K/yr - $300K/yr|On-site|Palo Alto, California, United States
Join the OPPO Research Center as a forward-thinking NLP Research Scientist, where you will play a pivotal role in shaping our next-generation AI hardware platforms, including innovative AI Glasses and Earphones. Your passion for generative AI research will drive the design, training, and deployment of sophisticated multimodal intelligence models that effortlessly merge language, vision, and action. Collaborating within our dynamic team, you will co-create algorithms and hardware, translate groundbreaking research into tangible products, and contribute your findings to prestigious AI conferences.
At Rhoda AI, we are pioneering the development of a comprehensive foundation for the next generation of humanoid robots. Our approach integrates high-performance, software-defined hardware with advanced models and world models that facilitate their operation. Our robots are engineered to function as generalists, adept at navigating complex, real-world environments and managing previously unseen scenarios. We are at the forefront of large-scale learning, robotics, and systems research, supported by a diverse team of experts from prestigious institutions including Stanford, Berkeley, and Harvard. With over $400 million raised, we are committed to investing in the R&D, hardware innovation, and manufacturing scale-up necessary to bring our vision to life.We invite applications for the position of Research Engineer, where you will collaborate closely with our research team on comprehensive model development. This hands-on role encompasses the entire stack: data management, infrastructure, model training, and deployment. You will play a critical role in transforming research concepts into scalable, operational systems, including the learning and application of world models for planning, prediction, and control.Key ResponsibilitiesDesign and develop foundational and world models for extensive robotic learning.Establish and manage data pipelines encompassing collection, curation, filtering, and augmentation for multimodal robotic data (vision, proprioception, actions, language, video).Engage in pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large models and world models.Implement and experiment with various model architectures.Create training and evaluation frameworks for world models, focusing on rollout quality, long-horizon predictions, and downstream task performance.Enhance training infrastructure and workflows (distributed training, efficiency, debugging).Collaborate closely with researchers to convert ideas into resilient, scalable implementations.Assist with experiments, ablations, and real-world deployments on robotic systems.QualificationsProficiency in software engineering combined with a research-driven mindset.Demonstrated experience in implementing ML models end-to-end, beyond merely executing existing code.Comprehensive understanding of the entire ML pipeline: data → pre-training → post-training → evaluation → deployment.Strong foundation in deep learning frameworks and methodologies.Ability to work collaboratively in a fast-paced, innovative environment.
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.
Full-time|$100K/yr - $200K/yr|On-site|Palo Alto, California, United States
Join the innovative team at OPPO US Research Center as a full-time AI/LLM Test Engineer. In this pivotal role, you'll assess the performance, reliability, and safety of Large Language Models (LLMs) within real-world applications while testing comprehensive generative AI solutions. Your efforts will directly enhance user experiences with AI-driven features by ensuring their robustness, accuracy, and alignment with product goals. This is a unique chance to lead the development of testing methodologies for groundbreaking AI technologies.Additionally, we are looking for a Contractor LLM Evaluation & QA Engineer to assist in the evaluation and validation of LLM-powered applications. You will play a key role in implementing testing strategies, executing evaluation workflows, and validating model performance across various generative AI scenarios.This contract position is perfect for individuals with hands-on experience in AI/ML evaluation, QA engineering, or data analysis who are eager to expand their knowledge of generative AI systems.
Role OverviewJoin Nace.ai as a Tax Consultant / Tax Model Reviewer, where you will independently evaluate and test our advanced tax models. Your key responsibility will be to critically analyze the underlying assumptions in our models, pinpoint errors and inconsistencies, and offer actionable recommendations for improvements. You will ensure that our models adhere to relevant tax laws and practical standards, thereby playing a vital role in maintaining the accuracy and reliability of our tax outputs. In addition, you will engage in Model Training, Performance and Accuracy Optimization, Dataset Curation, and Product Testing.Key Responsibilities:Conduct comprehensive reviews of tax models and algorithms utilized by Nace.ai.Identify erroneous assumptions, questionable calculations, and logical inconsistencies in tax-related model outputs.Evaluate whether existing models accurately reflect regulatory requirements and practical tax rules.Provide clear and actionable recommendations for corrections and logic adjustments.Articulate the rationale behind identifying specific approaches as incorrect and the potential risks involved.Assist Product and Engineering teams in understanding tax limitations, risks, and business logic that impact the models.Engage in discussions and offer expert insights during the design of new tax-related features.Qualifications:Minimum of 5 years of professional experience in tax consulting, audit & tax, or a related advisory capacity.Thorough knowledge of the U.S. tax system, including federal, state, and local tax regulations, with hands-on experience interpreting IRS guidelines and applying U.S. corporate and indirect tax rules in practical scenarios.Significant expertise in enterprise and individual tax regulations.Demonstrated ability to critically review models, financial, tax, and regulatory assumptions, as well as validate calculations.Strong analytical skills and structured thinking, with meticulous attention to detail.Exceptional communication skills to effectively articulate complex concepts.
Full-time|Remote|Palo Alto, California, United States; Remote
PsiQuantum is hiring a Senior Manager of Quantum Model Validation. This role leads a team responsible for validating the quantum models that support the company's technology. The position is open to candidates in Palo Alto, California, or those who prefer to work remotely. Key responsibilities Direct the assessment of quantum models, focusing on their accuracy and reliability Lead and mentor a team of subject matter experts in quantum model validation Collaborate with teams across PsiQuantum to support and strengthen quantum computing systems Play a role in advancing the company's quantum technology Team leadership This position involves guiding a group of experts and working with colleagues throughout the company to ensure high standards in quantum model validation. The work directly supports PsiQuantum's mission to develop advanced quantum computing systems.
Join Array Labs, a pioneering company that develops cutting-edge radar systems to enhance our understanding and response to global changes.Our ambitious project involves deploying a coordinated fleet of radar satellites aimed at generating a high-resolution 3D map of Earth. This real-time data will empower governmental and commercial organizations to make informed, swift decisions in disaster response, infrastructure resilience, and critical geopolitical intelligence.At Array Labs, we handle the design and construction of our satellites from start to finish, creating the most advanced Earth observation satellites in the world. Our fleet promises unparalleled accuracy, coverage, and responsiveness, delivering essential insights precisely where they are needed most.
Join the Revolution at ALSO.At ALSO, we are pioneers in electric mobility, initially established as a part of Rivian. Our dynamic team is made up of builders, dreamers, and innovators dedicated to crafting revolutionary vertically integrated small electric vehicles (EVs) that tackle the mobility challenges of today and tomorrow. Our mission is to encourage everyone to switch to ALSO, transforming local car, truck, and SUV travel into rides on more affordable, enjoyable, and significantly more efficient vehicles, boasting efficiency improvements of 10-50 times.We are actively seeking a Vehicle Modeling and Data Analyst Engineer to play a pivotal role in ensuring the reliability of our cutting-edge electric mobility vehicles throughout their development lifecycle. As a Physical Systems Modeling & Data Analyst, you will connect theoretical modeling with actual performance. Your responsibilities will include building and enhancing physics-based and data-driven models of vehicle systems such as powertrains, batteries, thermal management, and structural components. You will analyze telemetry and fleet data to guide engineering design choices, testing protocols, and product development.
About Arc Institute The Arc Institute is an innovative scientific institution dedicated to curiosity-driven basic science and technology development aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates as an independent research organization, collaborating closely with renowned institutions such as Stanford University, UCSF, and UC Berkeley. While traditional university research models have achieved remarkable successes, we firmly believe in the power of institutional experimentation to catalyze progress. Our unique approach includes: Funding: Arc provides comprehensive funding for Core Investigators’ research teams, freeing scientists from the usual limitations of project-based external grants. Technology: With the increasing complexity of biomedical research, our Technology Centers focus on developing and optimizing cutting-edge experimental and computational technologies in partnership with Core Investigators. Support: We are committed to delivering exceptional operational, financial, and scientific support that empowers researchers to undertake ambitious, high-risk projects aimed at significantly advancing cures for diseases like neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize cultivating a scientific culture that values curiosity, a steadfast commitment to truth, broad ambition, and collaborative spirit. With a growing team of over 350 individuals and $650M+ in committed funding, the Arc Institute is poised for rapid expansion, backed by a state-of-the-art lab facility in Palo Alto. About the Position The Jain Lab seeks motivated, diligent, and inquisitive candidates. Our research focuses on the interplay between organisms and their environments, specifically how factors such as oxygen levels and nutrient availability influence metabolism and disease progression. We have recently identified that chronic hypoxia, akin to living at high altitudes in Peru or Nepal, may offer therapeutic benefits for mitochondrial diseases.
About UsOdyssey AI is at the forefront of artificial intelligence innovation, developing groundbreaking general-purpose world models that represent a new paradigm in multimodal intelligence. Our cutting-edge models, including the remarkable Odyssey-2 Pro, are unlocking new possibilities for consumer, enterprise, and intelligence applications.Your RoleWe seek a highly skilled and imaginative researcher who thrives on the challenge of invention. You are driven by curiosity, eager to transform abstract concepts into tangible systems, and adept at integrating research with practical applications. Your ambition to create general-purpose world models capable of real-time generation, comprehension, and interaction is key.ResponsibilitiesPursue innovative research into the foundational aspects of world models, including representation, temporal coherence, causality, control, and long-term imagination.Develop and oversee an independent research agenda, tackling unresolved questions, formulating hypotheses, and creating algorithms that could redefine the capabilities of these models.Investigate novel architectures, learning objectives, and training paradigms that advance beyond current diffusion and transformer methodologies.Create conceptual frameworks and experimental systems to enhance our understanding of model perception and user intent responsiveness within real-world contexts.Collaborate with engineering and infrastructure teams to translate foundational insights into prototypes that showcase new functionalities rather than mere incremental improvements.Contribute to the scientific community by publishing research, mentoring peers, and actively engaging with the broader research ecosystem to influence the evolution of general-purpose world models.
About Arc Institute The Arc Institute is a pioneering scientific organization dedicated to curiosity-driven basic research and technological advancements aimed at understanding and combating complex human diseases. Based in Palo Alto, California, Arc operates independently while collaborating with esteemed institutions such as Stanford University, UCSF, and UC Berkeley. We recognize that while traditional university research models have achieved remarkable successes, the exploration of innovative institutional frameworks is vital for further progress. Our core initiatives include: Funding: Arc provides comprehensive funding for Core Investigators’ research endeavors, freeing scientists from the typical constraints of project-based external grants. Technology: With an increasing reliance on sophisticated tools in biomedical research, our Technology Centers are dedicated to developing, optimizing, and implementing cutting-edge experimental and computational technologies in partnership with Core Investigators. Support: We strive to offer exceptional operational, financial, and scientific support that empowers researchers to undertake ambitious high-risk, high-reward projects that can significantly advance the quest for cures for diseases like neurodegeneration, cancer, and immune dysfunction. Culture: We believe that a strong scientific culture is crucial for sustained excellence. Our aim is to cultivate an environment that prioritizes scientific curiosity, unwavering commitment to truth, broad ambitions, and collaborative spirit. With a team of over 350 professionals and more than $650 million in committed funding, Arc is poised for rapid expansion with a state-of-the-art lab facility in Palo Alto. About the Position We are excited to invite applications for the role of Research Associate I in the Arce Lab at the Arc Institute. In this dynamic position, you will contribute to ongoing research efforts by conducting experiments and providing organizational support. Collaborating closely with the Principal Investigator, you will engage in scientific inquiries related to the immune system to enhance our understanding and treatment of immune-mediated diseases. As you advance in this role, you will have the opportunity to independently lead sub-projects under the mentorship of experienced lab members. This position is ideal for individuals eager to gain hands-on experience in biomedical research within a fast-paced environment. About You You are a self-motivated individual with a strong desire to contribute to cutting-edge research. You possess a Bachelor’s Degree in a relevant field, showcasing a solid foundation in scientific principles. Your excellent organizational skills enable you to manage multiple tasks effectively. You are eager to learn and collaborate within a team-oriented setting, demonstrating strong communication abilities.
Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.…
At Rhoda AI, we are pioneering the development of a comprehensive platform for the next generation of humanoid robots. Our ambition encompasses everything from high-performance, software-defined hardware to the foundational models and video world models that govern their operations. Our robots are engineered as versatile generalists, adept at navigating intricate, real-world environments and addressing scenarios that are not encountered during training. We operate at the confluence of large-scale learning, robotics, and systems, with a research team that includes esteemed researchers from Stanford, Berkeley, Harvard, and other renowned institutions. Rather than merely enhancing a feature, we are constructing an entirely new computing platform dedicated to physical tasks. With over $400M raised, we are aggressively investing in research and development, hardware innovation, and scaling up manufacturing to realize this vision.Key ResponsibilitiesLead research initiatives focused on foundational models and world models for robotics, including representation learning, dynamics/prediction, planning, and control.Define research challenges and formulate hypotheses rooted in real-world robotic autonomy requirements.Design and execute rigorous experiments at scale, encompassing ablations, benchmarking, and evaluation methodologies.Develop and assess model architectures aimed at enhancing long-horizon predictions, rollout quality, and overall robotic task performance.Investigate and improve pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large multimodal models.Collaborate closely with Research Engineers to translate innovative ideas into scalable training pipelines and dependable systems.Effectively communicate research findings through internal documentation, presentations, and reviews.Publish and present research at prestigious venues.Required QualificationsPh.D. in a relevant discipline such as Machine Learning, Robotics, Computer Science, Electrical Engineering, Applied Mathematics, or Computer Vision.Demonstrated strong publication record in high-quality research (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR).In-depth knowledge of current machine learning techniques, particularly in areas such as:Deep learning and representation learning.Sequence modeling and transformers.Generative modeling (e.g., diffusion, autoregressive, latent-variable models).
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.
Full-time|$180K/yr - $300K/yr|On-site|Palo Alto, California, United States
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.
Full-time|$180K/yr - $300K/yr|On-site|Palo Alto, California, United States
AI Research Engineer, World ModelsPalo 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 industries.The RoleAs an AI Research Engineer specializing in world models, you will create expansive multi-modal generative models that project future sensor inputs and robotic actions derived from historical data. These foundational models empower robots to comprehend and navigate complex real-world environments. Your responsibilities will span data engineering, model architecture, and deployment, with the goal of enhancing robot autonomy. This position merges innovative research with pragmatic product development, challenging the boundaries of robotic intelligence.
About the Arc Institute The Arc Institute is an innovative scientific research organization dedicated to conducting groundbreaking basic science and technology development focused on understanding and treating complex human diseases. Based in Palo Alto, California, we operate independently while collaborating with leading institutions such as Stanford University, UCSF, and UC Berkeley. We believe that advancing scientific research requires new institutional models. Our approach includes: Comprehensive Funding: We fully finance our Core Investigators’ research teams, freeing them from the traditional constraints of project-based external grants. Advanced Technology: Recognizing the growing complexity of biomedical research, our Technology Centers develop, optimize, and deploy cutting-edge experimental and computational technologies in partnership with our Core Investigators. Exceptional Support: We provide unparalleled operational, financial, and scientific support, enabling researchers to undertake ambitious, high-risk projects aimed at significant advancements in curing diseases such as neurodegeneration, cancer, and immune dysfunction. Cultivating a Positive Culture: We prioritize a research environment that nurtures scientific curiosity, a commitment to truth, broad ambition, and collaborative spirit. Having grown to over 350 staff with more than $650 million in committed funding and a state-of-the-art lab facility, the Arc Institute is poised for rapid expansion in the coming years. About the Position The Zhou Lab is seeking passionate, diligent, and inquisitive candidates. Our specialization lies in single-cell epigenomic modeling, utilizing high-throughput single-cell multiomic technologies and computational models to investigate the spatiotemporal dynamics of gene regulation. The chosen applicant will be pivotal in pushing the boundaries of generative AI applications in biology, focusing on DNA sequences, gene regulation, and perturbation modeling. You will be tasked with developing machine learning models tailored for biological data by leveraging innovative ML architectures, interpretability techniques, and more. Furthermore, your models will be applied to significant computational biology tasks, including genome mining and molecular interaction analysis.
At GenBio AI, we are pioneering the development of multiscale foundation models aimed at decoding and simulating human biology. Our vision is to empower scientists to tackle some of humanity's most significant challenges in drug discovery, healthcare, and fundamental research through our innovative AIDO (AI-Driven Digital Organism) framework, which facilitates the prediction, simulation, and programming of biological systems across various scales. We are laying the groundwork for this ambitious future by engineering virtual cells that model and simulate the fundamental unit of life.Our team is composed of a diverse and talented group of product-focused researchers and engineers who are committed to making this vision a reality. We take pride in our robust engineering culture, which fosters interdisciplinary collaboration. Headquartered in Palo Alto, we also have satellite offices in Paris and Abu Dhabi.In your role as an AI Engineer, you will develop AI scientists capable of performing autonomous biomedical research utilizing GenBio’s virtual instruments and simulators. Your successful contributions will play a crucial role in rapidly designing and orchestrating comprehensive biological simulation studies aimed at drug design, healthcare innovations, and biotechnology advancements.
At Ricursive Intelligence, we are pioneering advancements in artificial intelligence by creating self-improving systems with a focus on innovative chip design. Our mission is to revolutionize chip development, effectively bridging the gap between AI and the hardware that supports it, thereby accelerating the journey towards artificial superintelligence.We are seeking exceptional engineers who are passionate about tackling a wide range of challenges in scaling, low-level optimization, and the fundamental infrastructure necessary for large language model training and inference.
About UsHippocratic AI is at the forefront of generative AI in healthcare, possessing the only system capable of conducting safe, autonomous clinical conversations with patients. Our proprietary LLMs, part of the Polaris constellation, boast an impressive accuracy rate exceeding 99.9%.Why Join Our TeamBe a part of a healthcare revolution with AI centered on safety. We are developing the first healthcare-exclusive, safety-driven LLM — a groundbreaking platform aimed at significantly improving patient outcomes globally. This is an opportunity to shape a new category in healthcare technology.Collaborate with pioneers in the field. Co-founded by CEO Munjal Shah and a talented group of physicians, hospital leaders, AI experts, and researchers from prestigious institutions such as El Camino Health, Johns Hopkins, and Stanford, among others.Supported by top-tier investors in healthcare and AI. We have successfully raised $126M in Series C funding, achieving a valuation of $3.5B, with total funding reaching $404M from notable participants including Avenir Growth, CapitalG, and a16z.Work alongside industry leaders. Join a team of experts dedicated to enhancing care, advancing scientific knowledge, and developing transformative technologies that ensure our platform remains powerful and reliable.Location RequirementThis role requires in-office presence at our Palo Alto facility five days a week to foster collaboration and a strong team culture.
Full-time|$100K/yr - $300K/yr|On-site|Palo Alto, California, United States
Join the OPPO Research Center as a forward-thinking NLP Research Scientist, where you will play a pivotal role in shaping our next-generation AI hardware platforms, including innovative AI Glasses and Earphones. Your passion for generative AI research will drive the design, training, and deployment of sophisticated multimodal intelligence models that effortlessly merge language, vision, and action. Collaborating within our dynamic team, you will co-create algorithms and hardware, translate groundbreaking research into tangible products, and contribute your findings to prestigious AI conferences.
At Rhoda AI, we are pioneering the development of a comprehensive foundation for the next generation of humanoid robots. Our approach integrates high-performance, software-defined hardware with advanced models and world models that facilitate their operation. Our robots are engineered to function as generalists, adept at navigating complex, real-world environments and managing previously unseen scenarios. We are at the forefront of large-scale learning, robotics, and systems research, supported by a diverse team of experts from prestigious institutions including Stanford, Berkeley, and Harvard. With over $400 million raised, we are committed to investing in the R&D, hardware innovation, and manufacturing scale-up necessary to bring our vision to life.We invite applications for the position of Research Engineer, where you will collaborate closely with our research team on comprehensive model development. This hands-on role encompasses the entire stack: data management, infrastructure, model training, and deployment. You will play a critical role in transforming research concepts into scalable, operational systems, including the learning and application of world models for planning, prediction, and control.Key ResponsibilitiesDesign and develop foundational and world models for extensive robotic learning.Establish and manage data pipelines encompassing collection, curation, filtering, and augmentation for multimodal robotic data (vision, proprioception, actions, language, video).Engage in pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large models and world models.Implement and experiment with various model architectures.Create training and evaluation frameworks for world models, focusing on rollout quality, long-horizon predictions, and downstream task performance.Enhance training infrastructure and workflows (distributed training, efficiency, debugging).Collaborate closely with researchers to convert ideas into resilient, scalable implementations.Assist with experiments, ablations, and real-world deployments on robotic systems.QualificationsProficiency in software engineering combined with a research-driven mindset.Demonstrated experience in implementing ML models end-to-end, beyond merely executing existing code.Comprehensive understanding of the entire ML pipeline: data → pre-training → post-training → evaluation → deployment.Strong foundation in deep learning frameworks and methodologies.Ability to work collaboratively in a fast-paced, innovative environment.
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.
Full-time|$100K/yr - $200K/yr|On-site|Palo Alto, California, United States
Join the innovative team at OPPO US Research Center as a full-time AI/LLM Test Engineer. In this pivotal role, you'll assess the performance, reliability, and safety of Large Language Models (LLMs) within real-world applications while testing comprehensive generative AI solutions. Your efforts will directly enhance user experiences with AI-driven features by ensuring their robustness, accuracy, and alignment with product goals. This is a unique chance to lead the development of testing methodologies for groundbreaking AI technologies.Additionally, we are looking for a Contractor LLM Evaluation & QA Engineer to assist in the evaluation and validation of LLM-powered applications. You will play a key role in implementing testing strategies, executing evaluation workflows, and validating model performance across various generative AI scenarios.This contract position is perfect for individuals with hands-on experience in AI/ML evaluation, QA engineering, or data analysis who are eager to expand their knowledge of generative AI systems.
Role OverviewJoin Nace.ai as a Tax Consultant / Tax Model Reviewer, where you will independently evaluate and test our advanced tax models. Your key responsibility will be to critically analyze the underlying assumptions in our models, pinpoint errors and inconsistencies, and offer actionable recommendations for improvements. You will ensure that our models adhere to relevant tax laws and practical standards, thereby playing a vital role in maintaining the accuracy and reliability of our tax outputs. In addition, you will engage in Model Training, Performance and Accuracy Optimization, Dataset Curation, and Product Testing.Key Responsibilities:Conduct comprehensive reviews of tax models and algorithms utilized by Nace.ai.Identify erroneous assumptions, questionable calculations, and logical inconsistencies in tax-related model outputs.Evaluate whether existing models accurately reflect regulatory requirements and practical tax rules.Provide clear and actionable recommendations for corrections and logic adjustments.Articulate the rationale behind identifying specific approaches as incorrect and the potential risks involved.Assist Product and Engineering teams in understanding tax limitations, risks, and business logic that impact the models.Engage in discussions and offer expert insights during the design of new tax-related features.Qualifications:Minimum of 5 years of professional experience in tax consulting, audit & tax, or a related advisory capacity.Thorough knowledge of the U.S. tax system, including federal, state, and local tax regulations, with hands-on experience interpreting IRS guidelines and applying U.S. corporate and indirect tax rules in practical scenarios.Significant expertise in enterprise and individual tax regulations.Demonstrated ability to critically review models, financial, tax, and regulatory assumptions, as well as validate calculations.Strong analytical skills and structured thinking, with meticulous attention to detail.Exceptional communication skills to effectively articulate complex concepts.
Full-time|Remote|Palo Alto, California, United States; Remote
PsiQuantum is hiring a Senior Manager of Quantum Model Validation. This role leads a team responsible for validating the quantum models that support the company's technology. The position is open to candidates in Palo Alto, California, or those who prefer to work remotely. Key responsibilities Direct the assessment of quantum models, focusing on their accuracy and reliability Lead and mentor a team of subject matter experts in quantum model validation Collaborate with teams across PsiQuantum to support and strengthen quantum computing systems Play a role in advancing the company's quantum technology Team leadership This position involves guiding a group of experts and working with colleagues throughout the company to ensure high standards in quantum model validation. The work directly supports PsiQuantum's mission to develop advanced quantum computing systems.
Join Array Labs, a pioneering company that develops cutting-edge radar systems to enhance our understanding and response to global changes.Our ambitious project involves deploying a coordinated fleet of radar satellites aimed at generating a high-resolution 3D map of Earth. This real-time data will empower governmental and commercial organizations to make informed, swift decisions in disaster response, infrastructure resilience, and critical geopolitical intelligence.At Array Labs, we handle the design and construction of our satellites from start to finish, creating the most advanced Earth observation satellites in the world. Our fleet promises unparalleled accuracy, coverage, and responsiveness, delivering essential insights precisely where they are needed most.
Join the Revolution at ALSO.At ALSO, we are pioneers in electric mobility, initially established as a part of Rivian. Our dynamic team is made up of builders, dreamers, and innovators dedicated to crafting revolutionary vertically integrated small electric vehicles (EVs) that tackle the mobility challenges of today and tomorrow. Our mission is to encourage everyone to switch to ALSO, transforming local car, truck, and SUV travel into rides on more affordable, enjoyable, and significantly more efficient vehicles, boasting efficiency improvements of 10-50 times.We are actively seeking a Vehicle Modeling and Data Analyst Engineer to play a pivotal role in ensuring the reliability of our cutting-edge electric mobility vehicles throughout their development lifecycle. As a Physical Systems Modeling & Data Analyst, you will connect theoretical modeling with actual performance. Your responsibilities will include building and enhancing physics-based and data-driven models of vehicle systems such as powertrains, batteries, thermal management, and structural components. You will analyze telemetry and fleet data to guide engineering design choices, testing protocols, and product development.
About Arc Institute The Arc Institute is an innovative scientific institution dedicated to curiosity-driven basic science and technology development aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates as an independent research organization, collaborating closely with renowned institutions such as Stanford University, UCSF, and UC Berkeley. While traditional university research models have achieved remarkable successes, we firmly believe in the power of institutional experimentation to catalyze progress. Our unique approach includes: Funding: Arc provides comprehensive funding for Core Investigators’ research teams, freeing scientists from the usual limitations of project-based external grants. Technology: With the increasing complexity of biomedical research, our Technology Centers focus on developing and optimizing cutting-edge experimental and computational technologies in partnership with Core Investigators. Support: We are committed to delivering exceptional operational, financial, and scientific support that empowers researchers to undertake ambitious, high-risk projects aimed at significantly advancing cures for diseases like neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize cultivating a scientific culture that values curiosity, a steadfast commitment to truth, broad ambition, and collaborative spirit. With a growing team of over 350 individuals and $650M+ in committed funding, the Arc Institute is poised for rapid expansion, backed by a state-of-the-art lab facility in Palo Alto. About the Position The Jain Lab seeks motivated, diligent, and inquisitive candidates. Our research focuses on the interplay between organisms and their environments, specifically how factors such as oxygen levels and nutrient availability influence metabolism and disease progression. We have recently identified that chronic hypoxia, akin to living at high altitudes in Peru or Nepal, may offer therapeutic benefits for mitochondrial diseases.
About UsOdyssey AI is at the forefront of artificial intelligence innovation, developing groundbreaking general-purpose world models that represent a new paradigm in multimodal intelligence. Our cutting-edge models, including the remarkable Odyssey-2 Pro, are unlocking new possibilities for consumer, enterprise, and intelligence applications.Your RoleWe seek a highly skilled and imaginative researcher who thrives on the challenge of invention. You are driven by curiosity, eager to transform abstract concepts into tangible systems, and adept at integrating research with practical applications. Your ambition to create general-purpose world models capable of real-time generation, comprehension, and interaction is key.ResponsibilitiesPursue innovative research into the foundational aspects of world models, including representation, temporal coherence, causality, control, and long-term imagination.Develop and oversee an independent research agenda, tackling unresolved questions, formulating hypotheses, and creating algorithms that could redefine the capabilities of these models.Investigate novel architectures, learning objectives, and training paradigms that advance beyond current diffusion and transformer methodologies.Create conceptual frameworks and experimental systems to enhance our understanding of model perception and user intent responsiveness within real-world contexts.Collaborate with engineering and infrastructure teams to translate foundational insights into prototypes that showcase new functionalities rather than mere incremental improvements.Contribute to the scientific community by publishing research, mentoring peers, and actively engaging with the broader research ecosystem to influence the evolution of general-purpose world models.
About Arc Institute The Arc Institute is a pioneering scientific organization dedicated to curiosity-driven basic research and technological advancements aimed at understanding and combating complex human diseases. Based in Palo Alto, California, Arc operates independently while collaborating with esteemed institutions such as Stanford University, UCSF, and UC Berkeley. We recognize that while traditional university research models have achieved remarkable successes, the exploration of innovative institutional frameworks is vital for further progress. Our core initiatives include: Funding: Arc provides comprehensive funding for Core Investigators’ research endeavors, freeing scientists from the typical constraints of project-based external grants. Technology: With an increasing reliance on sophisticated tools in biomedical research, our Technology Centers are dedicated to developing, optimizing, and implementing cutting-edge experimental and computational technologies in partnership with Core Investigators. Support: We strive to offer exceptional operational, financial, and scientific support that empowers researchers to undertake ambitious high-risk, high-reward projects that can significantly advance the quest for cures for diseases like neurodegeneration, cancer, and immune dysfunction. Culture: We believe that a strong scientific culture is crucial for sustained excellence. Our aim is to cultivate an environment that prioritizes scientific curiosity, unwavering commitment to truth, broad ambitions, and collaborative spirit. With a team of over 350 professionals and more than $650 million in committed funding, Arc is poised for rapid expansion with a state-of-the-art lab facility in Palo Alto. About the Position We are excited to invite applications for the role of Research Associate I in the Arce Lab at the Arc Institute. In this dynamic position, you will contribute to ongoing research efforts by conducting experiments and providing organizational support. Collaborating closely with the Principal Investigator, you will engage in scientific inquiries related to the immune system to enhance our understanding and treatment of immune-mediated diseases. As you advance in this role, you will have the opportunity to independently lead sub-projects under the mentorship of experienced lab members. This position is ideal for individuals eager to gain hands-on experience in biomedical research within a fast-paced environment. About You You are a self-motivated individual with a strong desire to contribute to cutting-edge research. You possess a Bachelor’s Degree in a relevant field, showcasing a solid foundation in scientific principles. Your excellent organizational skills enable you to manage multiple tasks effectively. You are eager to learn and collaborate within a team-oriented setting, demonstrating strong communication abilities.
