Computational Imaging Researcher

Join our innovative team at Foundation LLM Technologies, an MIT-born, venture-backed startup located in Silicon Valley, dedicated to revolutionizing the design and manufacturing industries. We are developing a groundbreaking AI Copilot, akin to a real-life 'Jarvis', that aims to harness advanced artificial intelligence, physics simulation, and computer graph…

Who We Are: Cogent Biosciences is an innovative biotechnology company committed to developing groundbreaking precision therapies aimed at addressing the unmet medical needs of patients. Our leading program, bezuclastinib, selectively inhibits exon 17 mutations in the KIT receptor tyrosine kinase, including the significant KIT D816V mutation. This mutation is a key driver of Systemic Mastocytosis, a rare and severe condition, as well as gastrointestinal stromal tumors (GIST), which heavily rely on oncogenic KIT signaling. Our promising initial data from the APEX, SUMMIT, and PEAK trials showcases an encouraging safety profile across more than 600 patients, both in single-agent and combination dosing. The Role: We are looking for a skilled Computational Chemist who excels at the convergence of molecular modeling, data-driven decision-making, and innovative drug design. In this full-time, on-site position at our R&D facility in Boulder, Colorado, you will play a pivotal role in influencing discovery programs by generating actionable, structure-based insights, developing predictive models, and collaborating with multidisciplinary teams to steer molecular design from initial hits to optimized leads. Responsibilities: Utilize structure-based and ligand-based drug design methodologies—including docking, protein modeling, and a variety of computational techniques—to support various projects from hit discovery through lead optimization. Engage with project team members in iterative structure-based drug design cycles to generate hypotheses, assess targets, triage hits, and guide SAR exploration. Effectively present modeling insights to cross-functional teams, ensuring data is understood in the appropriate context. Develop, refine, and sustain robust computational workflows in HPC Linux environments, enabling the scalable execution of large-scale simulations. Mentor and train colleagues on computational chemistry tools, cheminformatics standards, data formats, and essential workflow practices.

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.

The Lawrence Livermore National Laboratory (LLNL) is seeking a highly motivated Postdoctoral Researcher to join our Quantum Computing team. In this role, you will engage in pioneering research that seeks to leverage quantum mechanics to solve complex computational problems. You will collaborate with leading experts in the field to develop innovative quantum algorithms and contribute to the advancement of quantum technologies.

Join the innovative team at Lawrence Livermore National Laboratory (LLNL) as a Postdoctoral Researcher in Computational Chemistry. In this exciting role, you will engage in cutting-edge research, utilizing advanced computational techniques to solve complex chemical problems. You will collaborate with a multidisciplinary team of scientists and contribute to pioneering projects that advance our understanding of chemical systems.

Position Overview Join our innovative team at Apriori Bio, where we harness the power of computational and data-centric methods to craft groundbreaking antigens and assess vaccine efficacy. Our cutting-edge AI/ML platform, Octavia™, allows us to navigate viral fitness landscapes, anticipate immune evasion patterns, and engineer vaccines that prime the immune system for future challenges. In this role, you will leverage computational techniques—including structural modeling, machine learning, and statistical inference—to enhance our vaccine design initiatives based on insights from Octavia™. Proficiency in protein engineering and immunological datasets is advantageous, alongside a keen interest or background in high-throughput functional genomics, virology, or vaccinology. The Scientist will collaborate closely with both computational and experimental teams to analyze outcomes, formulate hypotheses, and aid in antigen development. This position is perfect for scientists who are eager to engage in a unique learning environment characterized by innovation and interdisciplinary collaboration within a fast-paced startup.

Team Overview The infrastructure team at OpenAI manages the core systems that support AI workloads worldwide. As OpenAI expands its compute capabilities across company-owned data centers, cloud environments, and strategic partnerships, the need for careful planning and resource management grows. Reliable and cost-effective compute operations depend on this foundation. The Compute Optimization group operates at the intersection of engineering, operations, finance, and infrastructure strategy. This team develops models, decision tools, and planning systems to improve how compute resources are scheduled, deployed, and scaled as global needs shift. Role Overview OpenAI is hiring a Compute Optimization Researcher/Engineer to help maximize the use of compute capacity across the organization. This role addresses complex optimization challenges related to capacity allocation, demand forecasting, cluster planning, workload placement, and infrastructure utilization. Work includes building mathematical models, developing software systems, and collaborating with other teams to improve planning and use of compute resources. Areas of focus span GPU clusters, networking, storage, and data center infrastructure. Candidates with experience in operations research, optimization, applied mathematics, infrastructure systems, or large-scale capacity planning will be well-suited for this position. Location and Work Model This position is based in San Francisco, CA. OpenAI follows a hybrid schedule with three days per week in the office. Relocation assistance is offered.

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.

Join our innovative team at Zyphra as a Research Engineer specializing in Brain-Computer Interface (BCI) Models. In this pivotal role, you will contribute to groundbreaking research and development initiatives in the field of neuroscience and artificial intelligence. Your expertise will help shape the future of communication between humans and machines, enhancing the quality of life for countless individuals.As a Research Engineer, you will be responsible for designing, implementing, and testing advanced BCI models, collaborating closely with a diverse team of scientists and engineers. Your work will play a crucial role in advancing our understanding of neural dynamics and their applications in technology.

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 Us: Axiomatic AI is pioneering a new generation of AI systems that embody the principles of the scientific method. By merging deep learning with formal logic and physics-based modeling, we are creating verifiable and interpretable AI systems that enhance and support human researchers in critical scientific and engineering tasks. Our ambitious mission, 30×30, aims to achieve a 30-fold improvement in the speed, accessibility, and cost-effectiveness of semiconductor and photonic hardware development by the year 2030. We are set to transform hardware design and simulation across these sectors, assembling a team of passionate professionals dedicated to translating innovative research into commercial products. Position Overview: As a Research Software Engineer with a focus on scientific computing systems, you will be responsible for constructing and scaling the computational foundation of our scientific tools. This includes accelerating simulation and optimization workloads, facilitating robust distributed execution, and ensuring correctness and reproducibility across numerical pipelines. You will collaborate closely with a diverse team comprising AI Engineers, Software Engineers, Mathematicians, and Physicists to develop tools that revolutionize how engineers and scientists leverage AI in their daily operations. Your Mission: Scalable Scientific Computing: Develop high-performance, reliable systems for simulation, inference, optimization, and uncertainty quantification workflows, particularly in the realms of electromagnetic simulation and inverse design. Performance Optimization: Analyze and enhance performance throughout end-to-end pipelines (CPU/GPU). Distributed Execution & HPC: Design and sustain distributed computing infrastructure for extensive sweeps and multiple experimental runs (multi-GPU/multi-node), emphasizing reproducibility, observability, and developer usability. Verification & QA: Establish rigorous testing and verification protocols for scientific computing pipelines (numerical regression, invariants, convergence tests, golden datasets), ensuring reliable results over time.

Join Motional's Pittsburgh office, located in the vibrant Hazelwood Green development, a key initiative aimed at revitalizing the neighborhood with thoughtful and sustainable practices. Enjoy stunning views of the Monongahela River while working in this state-of-the-art facility.Mission Overview:We are excited to announce an opening for a highly driven Staff Engineer in our newly established Design Release Engineering team, part of the Vehicle Platform Engineering group. This pivotal role will be responsible for overseeing the design release and integration of our autonomous vehicle's compute and connectivity subsystem. As the primary technical authority, you will guide the end-to-end design, validation, and production readiness of our cutting-edge compute hardware and controllers. Your efforts will ensure robust technical execution, facilitate supplier and cross-functional collaboration, and deliver hardware that meets performance, cost, and schedule targets.Your Responsibilities:Lead the comprehensive design release of high-performance compute and connectivity hardware, covering mechanical mounting, thermal management, electrical interfaces, and vehicle network integration.Drive technical execution throughout the product lifecycle, from initial concept through to ongoing engineering support and improvements.Oversee the creation and release of all engineering documentation, including models, drawings, Bills of Material (BOM), specifications, and test reports, ensuring they align with vehicle-level design.Define and maintain the Design Verification Plan & Report (DVP&R), ensuring successful validation against system performance objectives.Manage the Engineering Change (ECN) process for compute and connectivity hardware, ensuring transparency, cost impact analysis, version control, and comprehensive cross-functional agreement.Act as the main technical and program liaison with suppliers (Tier 1 and Tier 2), monitoring part maturity through DV, PV, and PPAP phases to guarantee tooling and delivery readiness.Cultivate strong partnerships with Systems Engineering, Autonomy, Software Infrastructure, Quality, and Vehicle Integration teams to ensure seamless hardware integration and manufacturability (DFM/DFA).Lead technical program reviews and design readiness assessments, proactively developing risk mitigation strategies to align compute hardware maturity with program milestones.Provide consistent, concise updates to technical leadership regarding design maturity, validation progress, outstanding issues, and timely resolution metrics.

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.

About Chai DiscoveryChai Discovery is a pioneering applied research laboratory dedicated to shaping the future of medicine. We offer an innovative design suite for molecules, leveraging our state-of-the-art models to assist scientists in developing drugs with engineering precision, ultimately creating better therapeutic solutions for humanity.Our founders have played a crucial role in the evolution of this field since its inception. We have successfully raised $230 million from prestigious investors such as Thrive, General Catalyst, OpenAI, and Dimension. Our collaborations with leading life sciences companies, including Eli Lilly, reflect our commitment, with multi-year, eight-figure annual revenue commitments to our platform.Chai Discovery is renowned for its exceptional talent density, rigorous research methodologies, and swift execution.About the RoleWe are on the lookout for outstanding antibody engineers and computational protein designers to enhance and leverage our de novo antibody design models. You will become part of an elite team comprised of biologists, computational scientists, and AI researchers.At Chai, our scientists are not just users but innovators of our AI platform, exploring novel targets and formats, validating computational solutions in laboratory settings, and deriving empirical guidelines from experimental outcomes. You will oversee large-scale experimental programs that inform, train, and evaluate next-generation models, collaborating closely with our AI research team. Together, we will partner with scientists from top pharmaceutical companies to advance their discovery initiatives into uncharted territories. We believe you could be an excellent addition to our team.This role presents a unique opportunity to redefine the landscape of applied biology and artificial intelligence. You will encounter a vast array of scientific challenges and research methodologies, far exceeding the experiences typically found in conventional drug development environments.About YouYou possess an unwavering ambition to push the boundaries of therapeutic design, coupled with an insatiable curiosity and tenacity to address real-world challenges swiftly. You are inquisitive, self-driven, and remarkably persistent.PhD or equivalent experience in Antibody Engineering, Computational Biology, or Protein Sciences.Demonstrable hands-on experience in the design and characterization of antibody-based biologics, with proficiency in molecular biology workflows, binding and developability assays, and structural analysis using PyMOL or similar software.A proven track record of effective communication, collaboration, and project execution.We OfferAn exciting opportunity to work at the forefront of AI technology, alongside world-class professionals, on a mission that truly matters.

Join the innovative team at Lawrence Livermore National Laboratory as a Computational Protein Design Scientist. In this exciting role, you will leverage cutting-edge computational techniques to design and optimize proteins for various applications, including therapeutics and industrial processes. You will collaborate with a multidisciplinary team of scientists and engineers to push the boundaries of protein engineering and contribute to groundbreaking research that impacts global health and sustainability.

Position OverviewAt Bobyard, we tackle complex computer vision challenges to streamline takeoff processes for contractors, saving them extensive hours on each project. Our innovative systems deliver results that surpass human capabilities.As a Computer Vision Research Engineer, you will enjoy significant autonomy in the design, execution, and refinement of groundbreaking products. In our fast-paced startup environment, you will become a foremost expert in the solutions you develop. We seek exceptional engineers who not only possess a visionary outlook for the product but can also focus deeply to produce outstanding code.

Design Research LeadJoin IDEO as a Design Research Lead and play a pivotal role in shaping innovative research initiatives across various programs in one of our rapidly expanding studios. This position focuses on fostering substantial client relationships and spearheading strategic initiatives within the media, entertainment, and technology sectors. As a key partner to a renowned brand in the creative entertainment and tech industry, we seek a visionary leader eager to explore and influence the future of digital media through innovative strategies.In this role, you will guide our teams and clients in deriving insights that inspire and inform exceptional design work. Reporting to one of our North American studios, you will engage in extensive collaboration with clients across the Pacific and Japan time zones. While proximity to IDEO SF or ChIDEO is advantageous, it is not mandatory, as we offer a flexible work environment. Expect occasional travel to our studios for in-person collaboration.The Importance of This Role at IDEOAt IDEO, we create impactful design solutions that are desirable, viable, feasible, and responsible. Our Design Researchers are instrumental in helping teams and clients gain a deeper understanding of everyday lives and cultural dynamics, informing interdisciplinary collaborations. They leverage research as a vehicle for discovery, creation, interpretation, and communication of opportunities in an engaging manner, contributing at every phase of the design process. Successful Design Researchers at IDEO think expansively about the necessary research at different stages, craft compelling plans, assist in prototype development, execute research, synthesize findings into actionable insights, and drive emotionally resonant storytelling. They embody empathy, curiosity, and humility, bridging design teams and organizations with the real lives of people.Your Responsibilities IncludeLeading interdisciplinary project teams with diverse design backgrounds.Formulating cutting-edge research strategies tailored to unique project outcomes, encompassing individual behaviors and broader cultural trends.Executing a diverse range of research methodologies and guiding interdisciplinary teams through the process.Facilitating analysis and synthesis of research findings to generate actionable insights.Directing human-centered strategies and storytelling grounded in the outcomes of design research.Contributing to prototypes and design concepts at various stages, from initial “sacrificial” ideas to detailed design iterations.

Job OverviewJoin Monarch Crops as a Research Scientist specializing in Computational Chemistry, where you will spearhead our molecular modeling initiatives to understand insect responses to olfactory cues. In this pivotal role, you will report directly to the Chief Technology Officer, contributing significantly to the validation of machine-learning-predicted compounds across various insect species.Key ResponsibilitiesDesign and implement computational models aimed at predicting molecular interactions between compounds and olfactory receptors.Perform quantum mechanical calculations, molecular docking, and dynamics simulations to enhance predictive accuracy.Interpret data from computational experiments to select compounds for laboratory and field trials.LocationThis is a full-time, on-site position located in Oakland, CA.Why Join Monarch Crops?At Monarch Crops, we are tackling one of the most significant challenges of our time: creating a viable alternative to conventional insecticides. We are developing a spatial repellent that safeguards crops from pests while also protecting human health and reducing unnecessary harm to insects. If you are passionate about this mission, we encourage you to apply.

About Us:Join us at Xenon7, where we harness the power of artificial intelligence to shape the future and unleash your potential.About Our Client:We represent a global leader in healthcare, based in Indianapolis, Indiana. Their Cardiometabolic Research (CMR) Therapeutic Area is dedicated to pioneering biologic, small molecule, and genetic therapeutics aimed at combating cardiometabolic diseases and their associated complications.We are in search of a passionate computational chemist to join our innovative team, utilizing physics-based modeling and cheminformatics to design chemically modified oligonucleotide therapeutics.Oligonucleotide therapeutics, including siRNAs, ASOs, and splice-switching oligonucleotides, occupy a distinctive chemical space between small molecules and biologics. Each position in a therapeutic oligonucleotide can feature unique sugar, backbone, and base modifications, leading to a vast combinatorial design space that traditional computational chemistry tools struggle to navigate. This role will integrate molecular simulation, cheminformatics, and machine learning to produce actionable insights that inform the optimization of chemically modified oligonucleotides within our client's RNA therapeutics portfolio.Key Responsibilities:Conduct molecular dynamics simulations of chemically modified oligonucleotide duplexes and single-stranded species to analyze the structural and thermodynamic impacts of modifications.Utilize free energy methods (FEP, thermodynamic integration, MM/PBSA, MM/GBSA) to predict modification-dependent binding affinities, duplex stability, and protein–oligonucleotide interactions.Create and validate force field parameters for novel nucleotide analogs through quantum mechanical calculations, facilitating rapid evaluation of new chemistries from the medicinal chemistry team.Develop cheminformatics descriptors and QSAR/QSPR models tailored for chemically modified oligonucleotides, capturing the full chemical diversity of the modification space beyond sequence-only representations.Collaborate closely with medicinal chemists and biologists to merge computational predictions with experimental SAR data, aiding in the identification of optimal modification patterns for enhanced potency, selectivity, metabolic stability, and safety.Contribute to reusable computational workflows, data assets, and modeling platforms that foster cross-program learning and integration with the team’s unified machine learning models.Present findings to cross-functional teams and partake in scientific strategy discussions, publications, and patent applications.