Computer Vision Researcher - Simulation and Embodied AI

Join mecka.ai as a Computer Vision Researcher specializing in Simulation and Embodied AI. In this exciting role, you will engage in cutting-edge research and development projects aimed at advancing the field of computer vision. You will collaborate with a dynamic team of experts to innovate and implement machine learning algorithms that enhance visual perception in artificial intelligence applications.

Team Overview:Kitware is at the forefront of developing innovative algorithms and software solutions for automated image and video analysis. Our computer vision team leverages deep learning to deliver impactful solutions for government bodies, commercial enterprises, and academic institutions globally. We are acutely aware of the challenges in extracting and interpreting information from diverse data sources such as images, videos, metadata, and text. Our mission is to enhance the fields of computer vision and deep learning through rigorous research, development, and collaborative projects rooted in our open-source software platforms, including VIAME and Telesculptor.Project Highlights:Our dedicated 3D computer vision team is responsible for creating algorithms and open-source applications focused on photogrammetry, which involves reconstructing 3D models from images and videos. Our current projects primarily utilize aerial and satellite imagery, but our adaptable capabilities extend to various other domains. Notable projects include the development of TeleSculptor, a cutting-edge open-source application for aerial 3D reconstruction based on KWIVER, and Danesfield, a Python framework for urban 3D modeling from satellite imagery. We are committed to advancing these tools and continuously innovating in 3D reconstruction, camera calibration algorithms, and broader computer vision applications. We are actively exploring how 3D vision can enhance object detection, tracking, change detection, and video compression, among other challenges. Our team is also eager to adapt our solutions to meet the unique challenges presented by new clients, including domains such as underwater imagery and synthetic aperture radar.At Kitware, our employees enjoy unique opportunities to engage directly with clients, visit fascinating project sites, and participate in hands-on field tests and demonstrations. Much of our work employs state-of-the-art artificial intelligence to tackle dynamic, real-world problems, offering you the chance to meaningfully contribute your expertise to impactful projects.

Team Overview:Kitware's computer vision team excels in developing state-of-the-art algorithms and software solutions for automated image and video analysis. Utilizing deep learning techniques, our innovations deliver significant value to government entities, commercial enterprises, and academic institutions across the globe. We understand the challenges associated with extracting, interpreting, and leveraging information from images, videos, metadata, and text, and we are committed to providing durable and cost-effective solutions. Our goal is to push the boundaries of computer vision and deep learning through research, development, and collaborative projects built on our open-source software platforms like VIAME and Telesculptor.Project Highlights:At Kitware, our team members have exceptional opportunities to collaborate closely with clients, visit engaging customer sites, and participate in real-world field tests and demonstrations. Much of our work focuses on applying advanced artificial intelligence methodologies to pressing, real-world challenges. You will have the chance to apply your expertise to projects that enhance national security, making a meaningful contribution to the safety of our nation. Our Research and Development Engineers also benefit from support for publishing innovative work, akin to academic environments.We collaborate with top-tier government research agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, and various branches of the U.S. military, working on diverse initiatives including prime contracts, SBIRs, and STTRs. Furthermore, we provide commercial services to a broad spectrum of companies, from startups to Fortune 500 firms. Kitware operates under an open-source business model to cultivate collaborative communities and deliver flexible, high-quality technical solutions. If you are familiar with CMake, ITK, or VTK, you are already aware of our impact on the communities we help build.

Company Introduction:At Momenti, we believe in transforming the way content is experienced. Our mission is to create immersive video interactions that captivate and engage audiences. With our innovative approach, we break the conventional boundaries of static content and bring it to life, fostering deeper emotional connections through multi-dimensional video experiences.Job Overview:We are seeking a skilled and enthusiastic Computer Vision AI Engineer to become a vital part of our dynamic New York team. You will engage in cutting-edge research and implement a variety of software, computer vision, and machine learning methodologies to tackle challenges that connect the virtual world with reality.Key Responsibilities:Design, test, troubleshoot, deploy, and maintain advanced computer vision algorithms and hardware tailored for diverse environments. Create automated vision algorithms with a focus on robotics and autonomous systems. Analyze and optimize performance metrics from computer vision algorithms to enhance efficacy.Preferred Qualifications:• Proficiency in computer vision frameworks such as OpenCV and MediaPipe.• Experience with MLOps and operationalizing machine learning models.• Familiarity with generative computer vision AI techniques, including stable diffusion models.• Background in 3D reconstruction AI.Basic Qualifications:• A degree in Computer Science, Electrical Engineering, or Applied Mathematics.• Minimum of 3 years hands-on experience in image sequence classification (action recognition) utilizing models like ViT or RCNN or any sequential image classification deep learning framework (mandatory).• Proficient in Python coding.• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.

About UsMirror Physics is an innovative AI company located in New York, pioneering the realm of scientific simulation. Our mission is to create intelligent systems that grasp the fundamental principles of physics, significantly enhancing the pace of technological research and development. Currently, we are developing a leading AI platform capable of predicting experimental outcomes in chemistry and materials science, seamlessly integrated with real-world high-throughput experimental validation. This initiative aims to bolster advancements in biotech, energy, manufacturing, and other critical sectors. With the support of top-tier investors and scientific authorities, we are expanding our research team at a critical juncture in our industry.Your RoleAs the head of the reasoning team at Mirror, you will be responsible for designing and engineering intelligent systems that efficiently manage scientific simulation frameworks, including quantum chemistry and molecular dynamics. You will interpret simulation results and adapt future actions accordingly. Your contributions will facilitate the development of autonomous R&D processes that plan experiments, allocate computational resources, and derive insights in real-time, making cutting-edge simulation techniques applicable to large-scale industrial challenges.Key ResponsibilitiesDesign and implement LLM-based intelligent agents for planning, scheduling, and monitoring complex simulation campaigns (DFT, ab-initio MD, reactive force-field).Create reinforcement-learning or curriculum-learning frameworks that train agents to optimize exploration, accuracy, and cost across varied computational resources.Incorporate domain-specific knowledge graphs, symbolic reasoning engines, and uncertainty quantifications into the systems.Develop analytical tools that elucidate agent decision-making, identify root causes of simulation failures, and assess downstream business impacts.Establish robust orchestration pipelines (Ray/Kubernetes/SLURM) for on-premise HPC and cloud GPU clusters, ensuring fault tolerance and provenance tracking.Collaborate closely with foundation model teams to integrate high-level reasoning with foundational atomistic predictions.Participate in the AI-for-science community by contributing to publications and presenting at conferences such as NeurIPS, ICML, and ICLR.QualificationsPh.D. or an M.S./B.S. with equivalent research background in Computer Science, Applied Mathematics, or a related field, with a focus on scientific computing and AI.Proven experience in designing complex algorithms and intelligent systems.Strong programming skills in languages such as Python, C++, or similar.Familiarity with machine learning frameworks and tools.Excellent communication and collaboration abilities.

About the FellowshipPostdoctoral Fellowships at Basis provide a unique opportunity for distinguished researchers to advance their expertise in the field of computational intelligence. This encompasses areas such as reasoning, learning, and decision-making. Fellows will collaborate closely with Basis Research Scientists and esteemed Principal Investigators (PIs) from leading academic institutions.About BasisBasis is a nonprofit organization dedicated to applied AI research, driven by two interdependent goals.Our primary aim is to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation; and creating software that embodies these principles.Secondly, we strive to enhance society's capability to tackle complex problems. This entails broadening the scope and complexity of challenges we can address today and, crucially, expediting our future problem-solving abilities.To fulfill these objectives, we are constructing a new technological framework inspired by human reasoning and fostering an innovative collaborative organization that prioritizes human values.How it WorksPostdoctoral Fellows at Basis are jointly mentored and funded by Basis and partner PIs from academic institutions. Fellows will divide their time between Basis and their academic PI's lab, functioning as part of a jointly advised postdoctoral program.Our established partner PIs include: Nada Amin (Harvard), Kevin Ellis (Cornell), Armando Solar-Lezama (MIT), Youssef Marzouk (MIT), and Tom Silver (Princeton).Each Fellow is paired with a mentor from Basis, chosen to align with their research interests and aspirations.Potential Basis mentors possess a wealth of expertise in various fields, ensuring a tailored and enriching mentorship experience.

Join Our Mission at ZeroMarkZeroMark is at the forefront of developing AI-driven counter-drone systems that are not just theoretical but have been proven in real combat situations. Our commitment is to create technology that genuinely saves lives without the fluff of PowerPoint presentations.We have witnessed remarkable growth, doubling our success over the past two years while securing contracts that affirm our belief that true innovation occurs in the field, not in sterile meeting rooms. Our cutting-edge systems enhance traditional weaponry to become intelligent platforms capable of detecting, tracking, and neutralizing drone threats efficiently, because we believe that a $200 drone should not necessitate a million-dollar countermeasure.At ZeroMark, our operators work hands-on, validating technology from Blackhawk helicopters, training with elite Tier-1 units, and testing at renowned ranges from White Sands to the cliffs of Hawaii. When we say our technology is field-tested, we mean it has been rigorously evaluated in active environments. We are action-oriented and focused on delivering impactful results. See us in action here. A sense of humor and resilience are essential.If you are driven to create real change and enjoy a dynamic work environment, we want to hear from you. We are dedicated to delivering practical, tested technology rather than just theories.The RoleWe are on the lookout for a motivated and experienced Principal Computer Vision Engineer to join our talented team. This position focuses on the development and optimization of advanced computer vision algorithms aimed at aerial object detection and tracking. The ideal candidate will possess a robust background in computer vision and deep learning, with experience preferred in the defense sector.

physicsx is looking for a Senior Computer Vision Data Scientist based in New York. This role centers on leading projects that push forward computer vision technology within the company’s product suite. Role overview The Senior Computer Vision Data Scientist works closely with teams from different disciplines to design and implement advanced algorithms and machine learning models. The focus is on improving image processing capabilities and delivering solutions that strengthen the company’s offerings. What you will do Lead development of computer vision algorithms and models Collaborate with colleagues across engineering, product, and research Apply expertise in image processing and machine learning to solve challenging problems Contribute to the success of the data science team and the organization as a whole Requirements Extensive experience in computer vision, image processing, and machine learning Strong track record of delivering results in collaborative, multidisciplinary settings

Kitware is on the lookout for an innovative and skilled scientist or engineer to lead the formation of a new team focused on AI-driven scientific exploration. This is a unique opportunity to mold and guide a state-of-the-art research group at the crossroads of artificial intelligence, high-performance computing (HPC), and extensive scientific experimentation.In this pivotal role, you will utilize Kitware’s substantial expertise in computer vision, AI, HPC, medical imaging, and scientific software development to propel groundbreaking research initiatives. Your responsibilities will include securing funding from governmental bodies and private sector collaborators to enhance AI-augmented methodologies that expedite scientific discoveries.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research. Our mission is twofold: to deepen our understanding of intelligence and to empower society in solving complex, challenging problems.Our first objective is to comprehend and construct intelligence. This involves establishing foundational mathematical principles for reasoning, learning, decision-making, comprehension, and explanation, while also developing software that embodies these principles.Secondly, we aim to enhance society’s capability to tackle intractable issues. This includes broadening the scope and complexity of problems we can address today and accelerating our future problem-solving abilities.To accomplish these objectives, we are creating a technological infrastructure inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis’ initiatives to unravel the conceptual, mathematical, and computational foundations of intelligence. We seek individuals with exceptional technical skills who are eager to explore foundational concepts. Our research scientists and engineers are committed to conducting rigorous, high-quality scientific investigations, while also embracing the opportunity to experiment, learn from errors, and explore innovative ideas.Collaboration is integral to our work, both internally and with external partners. We are searching for individuals who thrive in team settings, tackling challenges that transcend individual capabilities.Key Expectations:Proven ability to conduct high-quality scientific research, demonstrated through publications, technical reports, or software projects.Preferred Qualifications:PhD or equivalent experience in relevant fields such as statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, or mathematics.Enthusiasm for addressing real-world challenges and contributing to positive societal change.ResponsibilitiesDevelop and investigate computational theories of intelligence, encompassing reasoning, learning, and decision-making.Collaborate closely with domain experts, both within Basis and externally, to contribute to solving scientific problems.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based contract with toloka-ai (via Mindrift) offers physicists the chance to shape and evaluate AI systems for leading technology companies. The work centers on testing, improving, and designing computational challenges that reflect real research in physics. This is not a permanent employment offer. Key Responsibilities Design computational physics problems that align with real research workflows. Create programming challenges requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop problems that are computationally intensive and cannot be solved manually within a reasonable time. Craft advanced scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on genuine research issues or practical physics applications. Validate solutions using Python and standard simulation tools. Document each problem clearly and provide verified answers. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is a plus. At least 2 years of applied research or teaching experience. Background in numerical simulation methods. Ability to design problems that mirror authentic research workflows in physics. Creative problem-solving skills across diverse physics topics. Knowledge of modeling and approximation techniques. Strong written English skills (C1 level or higher). Project Process Steps include: Application, Qualification Process, Project Participation, Task Completion, and Payment. Time Commitment Project tasks typically require 10–20 hours per week during active phases. Actual workload may vary with project needs. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Compensation varies by project scope and complexity. Other projects on the platform may offer different earning levels based on requirements.

About BasisBasis is a nonprofit organization dedicated to applied artificial intelligence research. Our mission is twofold: to understand and build intelligence and to advance society’s problem-solving capabilities. We strive to unravel the mathematical principles behind reasoning, learning, decision-making, understanding, and explanation, while also developing software that embodies these principles.Our commitment extends to enhancing our ability to tackle complex issues that are beyond today's capabilities and accelerating our potential to address future challenges. We are creating a technological framework inspired by human reasoning, alongside fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis’ initiatives to deepen our understanding of the conceptual, mathematical, and computational principles of intelligence. We seek individuals who excel technically and are passionate about exploring foundational concepts. Our research team values rigorous, high-quality scientific endeavors while encouraging experimentation and exploration of innovative ideas.Basis thrives on collaboration, both internally and with external partners. We are looking for team players who enjoy tackling significant problems that require collective effort.Research FocusDespite the growing acknowledgment that acquiring and understanding world models is crucial for intelligence, current AI systems face challenges in mirroring this human capability. Key uncertainties remain regarding the essence of a world model, methods for reliably detecting its presence in agents, and approaches to develop agents capable of learning these models effectively.Our research, particularly within the MARA project, seeks to establish new foundations and technologies for modeling, abstraction, and reasoning in AI systems. MARA's goal is to identify principled methods for how intelligence constructs, refines, and employs world models through interactive experimentation. Achieving this will require advancements in knowledge representation, abstraction, reasoning, active learning, and reinforcement learning, necessitating a first-principles reevaluation of world modeling.

Join Normal Computing for Incredible Opportunities!At Normal Computing, we are passionate about building the software and hardware that drive technological innovation. Our efforts support the semiconductor industry, critical AI infrastructure, and the extensive systems that empower our world. With teams spread across New York, San Francisco, Copenhagen, Seoul, and London, we collaborate as one unified team.Your Role in Our Mission:We are seeking a talented AI Research Engineer to pioneer advancements in agentic LLMs and reinforcement learning for our innovative code generation tool, Nectar. In this role, you will design and conduct experiments, develop agents, curate datasets from intricate technical documents, and establish rigorous evaluation methods. You will write production-level research code and work closely with engineering teams to deliver enhancements to our clients. While leadership experience is not a prerequisite, your research and development impact will be significant.Key Responsibilities:Design and implement multi-agent and reinforcement learning strategies for agentic code generation and tool usage.Develop research prototypes that integrate with Nectar; collaborate to transition successful prototypes into production.Create comprehensive evaluation frameworks, including task specifications, pass/fail criteria, coverage metrics, and dashboards for cost and latency.Gather and curate datasets from a variety of sources, including PDFs, logs, and tables; generate synthetic data where necessary, and maintain data documentation and licensing.Conduct disciplined analyses of experiments through systematic ablations; document findings and decisions.Keep abreast of recent developments in LLM agents, reinforcement learning (both offline and online, including RLHF/RLAIF), constrained decoding, and program synthesis.Qualifications:PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent research experience), with publications preferably in multi-agent reinforcement learning, agentic AI, or reinforcement learning for language and code.Proficient in Python and machine learning frameworks, with a preference for PyTorch; experience with JAX or Hugging Face is a plus.Proven track record of translating research into functional systems; a strong emphasis on reproducibility (tests, seeds, configurations, logging).Experience in designing evaluation harnesses and success metrics for sequential and agentic tasks.Adept at data acquisition and curation from various document types; possess strong instincts regarding data quality and licensing.Bonus Qualifications:Research experience in program synthesis, code generation, constrained decoding, or execution-based rewards.

CLEAR’s mission is to redefine secure identity for the future. With more than 38 million members and a growing network of global partners, CLEAR’s identity platform supports safer, more convenient experiences in both physical and digital spaces. From airports to stadiums and daily interactions, the platform aims to make identity verification seamless and secure. Role Overview CLEAR is hiring a Senior Software Engineer with deep expertise in computer vision and image signal processing. This engineer will help shape the next generation of CLEAR products, moving beyond traditional identity verification and exploring new ways to connect digital identities. What You Will Do Design, build, test, and deploy computer vision applications for CLEAR’s platform Work on projects that extend CLEAR’s capabilities in digital identity Focus on privacy and security as core principles in all technical decisions Location This position is based in New York, New York, United States.

About BasisBasis is a pioneering nonprofit organization specializing in applied AI research, dedicated to two interrelated goals.The primary objective is to comprehend and develop intelligence. This entails establishing the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation; as well as creating software that embodies these principles.The secondary goal is to enhance society's capacity to tackle complex challenges. This involves broadening the scale and complexity of the problems we can address today and, more importantly, accelerating our future problem-solving capabilities.To realize these ambitions, we are constructing a new technological base inspired by human reasoning and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Engineer in Operations at Basis, you will be instrumental in developing internal tools, automation, and measurement systems that significantly enhance researcher productivity and operational efficiency. Your work will involve creating tools that eliminate hours of manual tasks, automating proposal and CRM workflows, and offering analytics to guide strategic decisions as Basis expands.We seek individuals who are technically adept and possess a deep understanding of research workflows, enabling them to pinpoint high-impact automation opportunities. An ideal candidate has experience in converting research concepts into reliable code, building automation systems powered by LLMs, and designing user-friendly tools for researchers. Your contributions will range from researcher productivity enhancements to GTM automation and analytics infrastructure.This position is vital to Basis's growth strategy, transforming operations from manual to automated processes that facilitate scalable growth with sustainable results.We are looking for innovative thinkers who are technically accomplished and eager to explore foundational concepts. Our research engineers strive to develop high-quality, robust tools, unafraid to experiment, learn from mistakes, and explore unconventional ideas to achieve their goals.Basis thrives on collaboration, both internally and with our partners; we seek individuals who are passionate about empowering others to achieve milestones they couldn't accomplish alone.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, driven by dual objectives that enhance each other.Our primary focus is to understand and construct intelligence. This encompasses establishing the fundamental mathematical principles of reasoning, learning, decision-making, comprehension, and explanation, alongside developing software that embodies these principles.Secondly, we aim to empower society to tackle complex challenges. This involves broadening the scale, complexity, and scope of problems we can currently address and, crucially, accelerating our future problem-solving capabilities.To realize these ambitions, we are establishing an innovative technological framework inspired by human reasoning and fostering a collaborative environment that prioritizes human values.About the RoleAs a Research Engineer, you will play a vital role in advancing Basis’ mission by converting research concepts into accurate, robust, and scalable high-quality code.We are looking for technically proficient individuals who are enthusiastic about delving deep into foundational concepts. Our research engineers are committed to conducting rigorous, high-quality science, unafraid to experiment, learn from mistakes, and explore innovative ideas.Basis thrives on collaboration, both within our team and with external partners. We seek individuals who enjoy tackling challenges greater than they can manage alone.Machine Learning Research Engineer Focus AreasThis position is aimed at experts in machine learning engineering. Key areas of focus include:Probabilistic programming and statistical inferenceDeep learningCausal inferenceProgram synthesis and analysisML Ops and systems engineeringThese areas will be explored in the context of developing reasoning systems. Research engineers will also engage with topics including programming language design and implementation, automatic differentiation, and SAT/SMT solvers.

About BasisBasis is a nonprofit organization dedicated to applied AI research, striving to achieve two interconnected objectives.Firstly, we aim to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation; along with creating software that embodies these principles.Secondly, we seek to enhance society's capacity to address complex challenges. This means broadening the range, scale, and intricacies of the problems we can tackle today, while also accelerating our ability to solve future challenges.To fulfill these missions, we are constructing a novel technological framework inspired by human reasoning, and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis's initiatives to deepen our comprehension of the theoretical, mathematical, and computational aspects of intelligence.We seek individuals with exceptional technical skills who are passionate about exploring concepts at their core. Our research scientists and engineers are committed to conducting rigorous, high-quality, and robust scientific inquiry, yet they embrace experimentation, learning from mistakes, and exploring innovative ideas to achieve their goals.Basis thrives on collaboration, both internally and with external partners; thus, we value team players who relish tackling challenges that surpass individual capabilities.Research FocusOur research under the MARA project is dedicated to forging new principles and technologies for modeling, abstraction, and reasoning in AI systems. The primary aim of MARA is to reveal principled methodologies for how intelligence constructs, refines, and applies world models through interactive experimentation.For this position, we specifically seek experts in Reinforcement Learning & Planning who can push the boundaries of model-based RL, exploration strategies, optimal control, and Bayesian optimization. You will develop agents capable of learning efficient policies in intricate, partially observable environments by utilizing structured world models.

About BasisBasis is a pioneering nonprofit organization dedicated to applied AI research, driven by two interlinked objectives.The first goal is to comprehend and construct intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, understanding, and explanation, alongside developing software that embodies these principles.The second objective is to enhance society's capacity to tackle complex challenges. This entails broadening the range, complexity, and scope of problems we address today, while importantly expediting our future problem-solving capabilities.To realize these ambitions, we are establishing a novel technological foundation inspired by human reasoning, as well as a unique collaborative organization that prioritizes human values.About the RoleAs a Research Engineer on the Platform team at Basis, you will propel research methodologies forward and package them into modular components for reuse by others. Your responsibilities include developing core technology modules (such as ChiRho, Effectful, Weighted), enhancing research-backed features for commercial platforms, and ensuring that research advancements lead to tangible impacts—both commercially and socially.We are seeking individuals who can merge research excellence with engineering precision. The ideal candidate has a background in both published research and production code, possesses the ability to translate experimental techniques into solid implementations, and thoughtfully approaches software architecture to facilitate others in building upon your contributions. You will identify high-impact research challenges aligned with Basis's mission and guide them from conception to concrete execution.This position is distinct from Operations Research Engineers (who concentrate on internal tools) as it emphasizes advancing research methods for platform and commercial applications. You will collaborate on Core Tech Module Teams and contribute to research that shapes the technological bedrock of Basis.We value individuals who excel at technical tasks and are unafraid to delve into foundational concepts. Our research engineers strive for thorough, high-quality, robust science and engineering, while embracing experimentation, learning from mistakes, and exploring unconventional ideas to achieve their goals.Basis thrives on collaboration, both internally and with our external partners; we seek individuals who enjoy working collectively on challenges that exceed individual capabilities.

Team Overview:As a pioneering force in developing advanced algorithms and software for automated image, video, text, and multimodal analysis, Kitware is at the forefront of innovation. Our artificial intelligence-driven solutions deliver significant value to government agencies, commercial enterprises, and academic institutions globally. We address the complex challenges of information extraction, interpretation, and usage across various media types, and are committed to providing robust and cost-effective solutions. Our ongoing research and collaborative efforts are dedicated to advancing fields like artificial intelligence and computer vision through our open-source software platforms, including VIAME and Telesculptor.Project Insights:The interconnection between Natural Language Processing (NLP) and Computer Vision is becoming increasingly evident, utilizing shared computational methodologies and a growing array of text + image/video benchmarks. Our current initiatives tap into the latest breakthroughs in large language models (LLMs) and explore diverse applications such as information extraction, decision-making, reasoning, and combating disinformation. Key areas of focus include knowledge extraction and representation, leveraging multimodal media assets, and deciphering written instructions, among others.At Kitware, employees gain unique opportunities to engage directly with clients, explore fascinating customer sites, and participate in live testing and demonstrations. Much of our work revolves around applying cutting-edge AI techniques to real-world challenges, particularly in the realm of national security, where your contributions can make a tangible impact in protecting our nation. Our Research and Development Engineers also enjoy benefits akin to those found in academia, including support for publishing innovative research. Additionally, there are frequent chances to collaborate with esteemed academic partners on various research endeavors.We collaborate with leading government R&D agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, different branches of the US military, and several members of the Intelligence Community on a wide range of programs, including prime contracts, SBIRs, and STTRs. Furthermore, we offer commercial services to a diverse clientele ranging from startups to Fortune 500 companies. Our open-source business model promotes extended collaboration and provides flexible, high-quality technical solutions.

About UsMirror Physics is an innovative AI company based in New York City, pioneering the next generation of scientific simulation technologies. Our mission is to create intelligent systems that grasp the fundamental principles of physics, thereby providing essential acceleration for advanced research and development across various technological fields. We are currently developing a leading-edge AI platform that predicts experimental outcomes in chemistry and materials science, seamlessly integrating physical simulation with high-throughput experimental verification. This endeavor aims to hasten discoveries in biotechnology, energy, manufacturing, and more. Supported by top-tier investors and scientific experts, we are seeking to expand our research team during this crucial period in the industry.The RoleAs the principal AI researcher focusing on physics model development, you will lead efforts in designing innovative architectures, training algorithms, and evaluation processes to transform vast amounts of physical simulation data into scalable, precise, and versatile predictive engines applicable in both scientific and industrial contexts.Key ResponsibilitiesCreate robust, scalable, and universally applicable atomistic models with high fidelity across various chemical domains.Compile diverse and multi-fidelity datasets into cohesive training corpora; innovate new objectives to enhance data efficiency.Produce groundbreaking datasets that encompass an unmatched variety of chemical systems, consistently computed at the highest theoretical levels suitable for general chemistries.Design diagnostic tools for model performance evaluation, failure mode assessment, and uncertainty quantification; propose new benchmarks to rigorously test predictive accuracy, physical consistency, and extrapolation capabilities.Develop downstream tools to improve model precision and processing speed, including model distillation and fine-tuning techniques.Collaborate with the AI-for-science community through research publications and contributions at leading conferences such as NeurIPS, ICML, and ICLR.Mentor junior researchers and work closely with applied science and engineering teams.