Research technician jobs in Hayward, CA - 1,331 jobs

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles) and Fei‑Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab). Join us and leave your mark on the future of robotics, AI, and global commerce. Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. The Role Nimble is looking for an AI Robotics Research Scientist to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision‑Language‑Action Models, general‑purpose robotic AI models, and reinforcement learning algorithms controlling multi‑agent robot fleets. You will play a critical role in working with our all‑star cross‑functional team to build models with immediate applications for the world's biggest robotics opportunity. Responsibilities Develop and train diffusion policies, VLMs, multi‑agent deep RL policies and more Develop data collection pipelines Design data annotation and labeling Support implementation of models into production systems Qualifications P.h.D in Robotics or Computer Science Experience training deep learning models for robotic manipulation or mobility Experience working with real robotic hardware Experience training models in simulation and developing simulation environments Experience collecting custom datasets Experience training on open‑source datasets Strong track record of publishing papers and/or deploying real‑world applications Experience with system architecture, design and development Additional Requirements Must be able to work extended hours and weekends as needed Must be able to work in San Francisco $180,000 - $250,000 a year The above range is the salary range. This position will also receive generous equity for this position. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleague that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program. #J-18808-Ljbffr

About Nudge Nudge's goal is to help the brain work better by creating a generalized product that can precisely stimulate and image the brain, entirely non-invasively. We aim to achieve this by developing cutting-edge ultrasound technology to treat neurological and psychiatric disorders, like addiction, and eventually, creating a mainstream consumer device that can modulate mood, focus, sleep, and more. To realize those ambitions, we're growing a scrappy, multidisciplinary, science and engineering team focused on making the best technology possible for interfacing with the whole brain, and a product that has the potential to improve people's daily lives more than any other. About the team The Research Team at Nudge is innovating on multiple frontiers in neuroscience and neurotechnology, and is primarily focused on developing ultrasound-based neuromodulation to treat conditions like depression, chronic pain and addiction as well as enhance the wellbeing of healthy people. We're also building the first scalable, portable hardware for noninvasive structural ultrasound-based imaging the quality of an MRI. The team is running human trials for neuromodulation and developing algorithms that will enable on-device imaging. About the role Work closely with the Head of Research and engineering team to build the capabilities for on-device ultrasound-based imaging. Develop algorithms for structural and functional ultrasound-based imaging Perform validation of in-silico ultrasound imaging methods with Nudge hardware in physical models and in vivo Contribute to the development of aberration correction techniques informed by ultrasound-based imaging About you 5+ years experience PhD or Postdoc in Bioengineering, Medical Imaging, Physics or equivalent Expertise in ultrasound physics and metrology Demonstrated history of exceptional contributions in your prior work experiences Expertise in one or more of: Full-waveform inversion imaging Functional transcranial doppler imaging Functional ultrasound imaging Machine learning experience a plus Compensation $140,000 - $230,000/year + equity Your salary may vary depending on multiple factors such as job-related knowledge, skills, and experience. #J-18808-Ljbffr

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We Expect You To Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Be excited about OpenAI's approach to research. Nice To Have Interested in and thoughtful about the impacts of AI technology. Past experience in creating high-performance implementations of deep learning algorithms. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. #J-18808-Ljbffr

A cutting-edge robotics startup is looking for a Research Scientist to enhance their robotic manipulation systems. This role entails advancing research, collaborating on publications, and prototyping solutions within a multi-disciplinary team. The ideal candidate has a strong grasp of modern robotic methods and 5+ years of relevant experience, alongside a solid publication record in prestigious conferences. Compensation ranges from $160,000 to $210,000 annually, with equity options available. #J-18808-Ljbffr

A leading data and AI platform in San Francisco is seeking a Research Scientist for the GenAI Team. This role involves advancing deep learning techniques and working with large-scale LLMs. The ideal candidate will have a passion for innovation, solid machine learning skills, and a commitment to improving user experiences. Competitive compensation ranges from $150,000 to $190,000 USD, reflecting the importance of this role within the company. #J-18808-Ljbffr

Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting‑edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world‑class scientists, engineers, and technical experts building technology for the United States. Summary As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization. This role sits at the intersection of cutting‑edge physics and artificial intelligence, and you'll work hands‑on to develop AI‑augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. Whether you are a physicist who has embraced machine learning or an AI expert with deep scientific domain knowledge, you will play a pivotal role in defining how we utilize AI to accelerate our own internal R&D. Responsibilities Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows Develop AI‑augmented tools for materials science, device physics, or accelerator physics applications Build internal AI infrastructure and capabilities to enable research teams across the organization Train and mentor scientists and engineers on integrating AI/ML into their research workflows Implement surrogate models, physics‑informed neural networks, or generative approaches for scientific problems Develop data pipelines and frameworks for scientific machine learning across distributed teams Collaborate with computational physicists and experimentalists to identify high‑impact AI applications Set AI best practices and establish standards for ML‑augmented R&D Required Qualifications 5+ years professional or academic research experience in physical sciences, engineering, or related field 2‑3+ years hands‑on experience applying machine learning to scientific or technical problems Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar) Deep understanding of scientific computing, numerical methods, and computational modeling Proven ability to translate scientific problems into machine learning approaches Experience building tools, infrastructure, or capabilities used by technical teams Preferred Qualifications PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field Publications applying ML to scientific computing, simulation, or experimental data analysis Experience with physics‑informed machine learning or scientific foundation models Background in accelerator physics, semiconductor devices, materials modeling, or related domains Track record of enabling technical teams through tool development or mentorship Salary Range $150,000-$400,000 USD Substrate is an equal opportunity employer. It provides equal employment opportunity to all applicants without regard to race, color, religion, national origin, disability, medical condition, marital status, sex, gender, age, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws. Substrate will provide reasonable accommodations to applicants with disabilities. If you need an accommodation during the hiring process, please let your recruiter know. Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship. #J-18808-Ljbffr

About Hedra Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation - it's the next evolution of AI-driven content creation. At Hedra, we're a team of hard-working, passionate individuals seeking to fundamentally change content creation and build a generational company together. We value startup energy, initiative, and the ability to turn bold ideas into real products. Our team is fully in-person in SF/NY with a shared love for whiteboard problem-solving. Overview We are seeking a highly motivated Research Scientist to push the limits of long-form video generation, with a focus on auto-regressive modeling, causal attention mechanisms, and efficient sequence handling. The ideal candidate will have a deep understanding of temporal modeling in generative AI and experience building scalable architectures for multi-minute coherent video outputs. Responsibilities Design and implement long video generation architectures, with emphasis on auto-regressive generation, causal attention, and memory-efficient transformer designs. Develop methods for maintaining temporal and semantic coherence over long time horizons. Work closely with engineering to integrate research into production-grade pipelines. Stay on top of recent advances in long-context transformers, sequence compression, and scalable video generation. Present results internally and externally, including possible top-tier conference submissions. Qualifications PhD or strong research/industry experience in Computer Science, Machine Learning, or related fields, with a focus on sequence modeling or generative models. Deep understanding of transformer architectures, attention mechanisms, and auto-regressive modeling. Experience with long-context processing and memory-efficient computation. Proficiency in Python and PyTorch; ability to rapidly prototype and iterate on new architectures. A record of impactful research or large-scale system deployments. Benefits Competitive compensation + equity 401k (no match) Healthcare (Silver PPO Medical, Vision, Dental) Lunch and snacks at the office We encourage you to apply even if you don't meet every requirement - we value curiosity, creativity, and the drive to solve hard problems. #J-18808-Ljbffr

A pioneering AI security company located in San Francisco is seeking a Research Scientist to develop and enhance cutting-edge agent and machine learning security techniques. The ideal candidate will have expertise in Python and various LLM libraries, with a passion for innovation in a fast-paced startup environment. This role offers a competitive salary and the opportunity to work on groundbreaking AI solutions. #J-18808-Ljbffr

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Behavioral Research Scientist Salary: $140,000-$160,000 + Equity Company Description: VC-backed AI simulation platform Job Description: Shape the cognitive and behavioral foundations of AI agents for a cutting‑edge simulation engine. This role involves applying scientific depth to model decision‑making, attention, and heuristics, impacting how next‑generation digital products are designed. Join a team at the intersection of AI, behavioral science, and product experimentation, bringing real‑world impact to scalable systems. Location: San Francisco, USA Why this role is remarkable: Join a team creating category‑defining technology, building the simulation layer for adaptive software. Backed by top‑tier VCs and product/engineering leaders from leading tech companies. Apply deep behavioral science and cutting‑edge AI to solve complex product challenges with immediate impact. What you will do: Ground AI agents in validated behavioral and cognitive frameworks, modeling human decision‑making. Translate behavioral theories into practical agent architectures, defining user clusters and personas. Design and analyze in silico experiments to test agent responses and benchmark simulation realism. The ideal candidate: PhD or postdoc in Cognitive Science, Behavioral Economics, Psychology, or HCI. Proven experience conducting original research on decision‑making or behavioral modeling in digital contexts. Passionate about applying rigorous scientific research to real‑world, impactful AI systems. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction #J-18808-Ljbffr

About Sygaldry Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. About the Role Generative AI is transforming what's computationally possible-but it's also exposing the limits of classical hardware. Diffusion models produce extraordinary results, yet their iterative sampling and high-dimensional score estimation create computational bottlenecks that scale poorly. We believe quantum computing offers a path through these bottlenecks. As an ML Research Scientist, you'll work at the frontier of generative modeling and quantum acceleration, developing the theoretical foundations and practical implementations that connect these fields. You'll identify where quantum approaches can provide genuine advantage in generative workflows-not incremental improvements, but structural speedups rooted in the mathematics of these models. What You'll Work On Generative Model Architecture & Efficiency Advance state-of-the-art diffusion and score-based generative models Analyze computational bottlenecks in sampling, denoising, and likelihood estimation Develop and benchmark novel solver methods for diffusion ODEs/SDEs Quantum-Classical Integration Identify mathematical structures in generative models amenable to quantum speedup Prototype hybrid workflows where quantum subroutines accelerate classical pipelines Rigorously benchmark theoretical versus practical advantage in realistic workloads Research to Production Translate research insights into scalable implementations Collaborate with quantum hardware teams to inform architecture requirements Build systems that make quantum-accelerated generation accessible to practitioners You May Be a Good Fit If You Have deep expertise in diffusion probabilistic models, score matching, or related generative methods Understand the mathematical foundations: SDEs, ODEs, Langevin dynamics, probability flow Are experienced with ML frameworks (PyTorch, JAX) and efficient inference implementation Question assumptions and validate with rigor, following interesting threads wherever they lead Communicate complex ideas clearly across research communities Are excited to work on problems no one has solved before Strong Candidates May Have Published research on diffusion models, score-based generation, or neural ODE/SDE methods Experience optimizing sampling efficiency (DDIM, DPM-Solver, consistency models, etc.) Familiarity with numerical methods for differential equations Understanding of quantum algorithms and computational complexity Background in high-dimensional probability or stochastic processes Why This Matters Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements - we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable. How We're Different We're building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We're looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI. Culture & Benefits Visa Sponsorship - We know what it takes to make top talent thrive here. We're open to supporting visas whenever possible. Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity. Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind. Connection - Whether it's company offsite or casual crew socials, we make time to connect, recharge, and have fun together. Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact. We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. We encourage you to apply even if you do not believe you meet every single qualification. If you don't think this role is right for you, but you believe that you would have something meaningful to to contribute to our mission, please reach out at ********************** #J-18808-Ljbffr

About P-1 AI: We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world-helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry‑level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth. Our founding team includes the top minds in deep learning, model‑based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.). About the Role: We're seeking an exceptional AI Research Scientist to help us push the boundaries of AI applied to the physical world. This role blends cutting‑edge AI research with hands‑on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. You'll be leading projects that develop agentic AI systems designed to solve real‑world mechanical, electrical, and aerospace engineering problems-systems that think, remember, act, and adapt. This is not a “pure research” position: we're looking for a hacker‑scientist hybrid-someone who's published in top venues but is not afraid of any layer in the tech stack. What You'll Do: Design and implement agentic systems that autonomously solve physical engineering tasks. Develop advanced memory, retrieval, and planning architectures for LLM‑based agents. Apply (or invent) reinforcement learning strategies for reasoning, planning, and online adaptation. Contribute to both research strategy and technical implementation-this is a hands‑on role. Collaborate with a small, elite team of researchers and engineers across domains. Stay on the edge of what's possible and bring promising ideas into reality. About you: Have experience at the frontier of AI research (e.g., LLMs, RL, memory systems, agent architectures). Are passionate about applied problems-especially in mechanical, aerospace, or electrical engineering domains. Are fluent in Python and major ML/AI frameworks (PyTorch, JAX, etc.). Thrive in fast‑moving environments and feel comfortable working towards underspecified goals. Have a “whatever it takes” mindset: you're the kind of person makes things work. Can go from whiteboard to working prototype without waiting for someone else to “engineer” it. Preferred Qualifications: PhD in Computer Science, Robotics, Engineering, Math, or a related technical field (or equivalent experience). Relevant publications in top‑tier venues of your field. Experience with physical engineering domains a plus. Familiarity with agent tool‑use, retrieval‑augmented generation, or long‑term memory systems. Deep knowledge of reinforcement learning algorithms and practical challenges. Interview process: Initial screening - Head of Talent (30 mins) Hiring manager interview - Head of AI (45 mins) Technical Interview - AI Chief Scientist (45 mins) Culture fit / Q&A (maybe in person) - with co‑founder & CEO (45 mins) #J-18808-Ljbffr

Fund & Co-Investment Research Associate About Allocate Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs. About the Role We're seeking a Fund & Co-Investment Research Associate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform. You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions. Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current. Key Responsibilities Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations. Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal. GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development. Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards. Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence. Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience. Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency. Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets. Qualifications Experience & Knowledge: 3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields. Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate. Strong understanding of private markets and alternative investments. Skills & Attributes: Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do. Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators. Highly personable: You build authentic relationships with both GPs and wealth advisory teams. Commercial mindset: You think about client needs, platform scalability, and growth. Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly. Meticulous attention to detail: You ensure accuracy and compliance across all materials. Analytical excellence: You combine quantitative rigor with qualitative judgment. Not a Fit If You're: A pure allocator looking for a traditional fund-of-funds seat. More comfortable with analysis only role than relationship-building and client engagement. Seeking a slow-paced, process-heavy environment. Unfamiliar with how technology platforms operate. Why Allocate? Shape the infrastructure layer for an entire industry. Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world. Allocate is one of the fastest-growing platforms in private markets. Palo Alto office in the heart of the venture ecosystem. High impact, high visibility work with real ownership and autonomy. Additional Information Location: Palo Alto, CA. Must be able to work in-office 4 days a week. Compensation: $160K-$200K base + bonus + stock equity. Benefits: Medical, dental, vision, 401(k), responsible time off. Employment: Full-time. Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship. #J-18808-Ljbffr

The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The research scientist will be a key member of a multidisciplinary team responsible for collection of multimodal brain data, including MR imaging, MEG, EEG, and eye tracking. The tentpole of the CBH is the first normative brain database in the region, featuring structural, functional, diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires. The anticipated appointment start date is May 1, 2026, with a guaranteed term of 18 months and the possibility of renewal based on performance. Responsibilities Explore scientific questions related to the normative brain database. Conduct data collection and processing of multimodal MR imaging, MEG, EEG, and eye tracking. Apply big‑data analysis techniques and advanced computational methods to brain imaging data. Collaborate with the multidisciplinary research team. Contribute to peer‑reviewed publications and scientific communication. Qualifications Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or an equivalent level of experience preferred. Extensive experience with multimodal MRI, including functional, structural, and tractography methods. Proficiency in big‑data analysis techniques. Experience with other large brain databases preferred. Strong computational skills and a solid publication record. Benefits Competitive salary and benefits. Housing allowance. Other benefits as specified in the employment terms. Application Instructions Cover letter. Curriculum vitae with a full publication list. Transcript. Statement of research interests. Three representative publications. Three letters of reference. All materials must be submitted in PDF format. Applications are accepted immediately; please submit through the NYUAD careers page at ************************************************************* For questions, contact ************** or **************************. UAE nationals are encouraged to apply. Equal Employment Opportunity Statement NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and achieve carbon neutrality by 2040. Learn more at nyu.edu/sustainability. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Research Scientist in mathematical sciences to design and build AI models that tackle complex scientific problems. The ideal candidate will have strong communication skills and experience with frontier models. This position operates on a hybrid work model, valuing rigor and reproducibility in scientific research. Competitive compensation is offered. #J-18808-Ljbffr

Virtue AI is at the forefront of AI security & compliance. Our mission is to build the essential AI security platform with advanced and comprehensive guardrails and red‑teaming tools that enable organizations to deploy different AI applications confidently and responsibly in different sectors, such as finance, healthcare, telecom, retail, and government. Just as Palo Alto Networks redefined network security, our mission is to define and lead the new category of AI Security. We are a well‑funded, early‑stage startup founded by industry veterans, and we're looking for passionate builders to join our core team. Are you a high‑performing, motivated machine learning engineer ready to make a significant impact in the AI security space? We are looking for talented engineers to develop cutting‑edge products on agent and LLM securities. What You'll Do As a Research Scientist, you will play a key role in developing production‑ready and cutting‑edge agent and ML security techniques. Your work will directly contribute to advancing our products and services and driving innovation within the industry. You will: Develop our core techniques for agent and model red‑teaming, including discovering novel testing paths, designing novel testing techniques, and developing automatic testing platforms Develop and train our core guardrail models for different input modalities and defense targets and goals Apply efficiency inference methods to reduce model latency Work with the research engineers to integrate our developed techniques into products What Makes You a Great Fit You'll thrive in this role if you're excited by new technology, love solving customer problems, and can comfortably bridge the business and technical worlds. Required qualifications: Proficiency in programming languages such as Python, along with expertise in LLM libraries like PyTorch, DeepSpeed, OpenRLHF, vLLM, verl, etc Experience in LLM finetuning for different modalities Experience in building LLM‑based agents for various applications Experience in conducting large‑scale red‑teaming for LLMs and agents Preferred qualifications: Hands‑on experience with Docker for containerization and deployment Hands‑on experience in backend engineering (Go, C/C++) and front‑end development (Node.js, Typescript) Enthusiasm for thriving in a fast‑paced startup environment Strong problem‑solving skills and effective communication abilities Why Join Virtue AI Competitive base salary compensation + equity commensurate with skills and experience. Impact at scale - Help define the category AI security and partner with Fortune 500 enterprises on their most strategic AI initiatives. Work on the frontier - Engage with bleeding‑edge AI/ML and deploy AI security solutions for use cases that don't yet exist anywhere else yet. Collaborative culture - Join a team of builders, problem‑solvers, and innovators who are mission‑driven and collaborative. Opportunity for growth - Shape not only our customer engagements, but also the processes and culture of an early lean team with plans for scale. Equal Opportunity Employment Virtue AI is an Equal Opportunity Employer. We welcome and celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, marital status, national origin, ancestry, age, disability, medical condition, veteran status, or any other status protected by law. We also provide reasonable accommodations for applicants and employees with disabilities or sincerely held religious beliefs, consistent with legal requirements. #J-18808-Ljbffr

A fast-growing AI research startup in San Francisco seeks a Machine Learning Research Scientist to develop next-generation AI models. The role involves designing innovative architectures, validating model performance, and collaborating with engineers. Candidates should have a PhD or equivalent experience in a related field, a strong publication record, and proficiency in deep learning frameworks. This position offers a unique chance to impact core products and work with leading researchers in the industry. #J-18808-Ljbffr

About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non‑invasive, ultrasound‑based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting‑edge hardware, software, and research capabilities to create products that can benefit millions - and eventually billions - of people. We've brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world‑class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly - people who expect the highest levels of both rigor and integrity from each other. About the role As a research scientist focused on rodent behavior and neural imaging at Nudge, you will: Design and execute experiments in rodents to characterize the effects of ultrasound neuromodulation on brain circuits and behavior Collect and analyze behavioral and neural data, with techniques such as electrophysiology, calcium imaging and/or fiber photometry Develop and validate experimental paradigms linking neural activity changes to behavioral and physiological responses with clinical relevance Optimize ultrasound stimulation parameters for specific brain circuits and cell types to achieve targeted neuromodulation Translate preclinical findings to inform human neuromodulation studies About you PhD or postdoc in neuroscience, biomedical engineering or similar engineering discipline Exceptional proficiency in ultrasound neuromodulation, functional ultrasound neuroimaging, optogenetics, electrophysiology, two‑photon microscopy, or fiber phototometry in animal models Experience with automated behavioral tracking and analysis or computational analysis of neural + behavioral data Experience designing experiments informed by ultrasound physics and acoustic field modeling is preferred Demonstrated history of exceptional technical contribution #J-18808-Ljbffr

About Chai Discovery Chai Discovery is unlocking new biology with artificial intelligence by building state-of-the-art foundation models. The company is operating in stealth mode by a highly experienced founding team, who are well known in the AI community for seminal research accomplishments at top AI labs, have run AI departments at top AI x Biology organizations, have exited a past company via IPO, and sold AI technologies to multiple top 10 pharma companies. The company is backed with significant capital by top-tier investors. Position Overview Chai Discovery is seeking a highly experienced AI Research Scientist to play a crucial role in the development of our next-generation AI x biology foundation models and application to real‑world drug discovery challenges. The AI Research Scientist will work closely with the founding team to design and implement AI‑powered solutions to complex problems in the drug discovery pipeline. Key Responsibilities Design, implement, and evaluate novel AI models tailored for drug discovery applications, such as protein design and small molecule discovery. Manage and lead large‑scale machine learning research projects, ensuring they align with business goals. Scale our models on massive datasets in a distributed fashion across many GPU nodes. Develop innovative new techniques focused on large‑scale models for biomolecular design. Develop robust and scalable AI pipelines to process, analyze, and interpret large‑scale biological and chemical datasets. Stay updated on the latest advancements in AI research and bioengineering, communicate insights to the broader team, and incorporate relevant techniques into the company's research agenda. Work closely with software engineers to integrate AI models into production systems, platforms, and front‑end applications. Support customers on the deployment of our systems into real‑world drug discovery workflows. Participate in writing research papers, patent applications, and case studies. Qualifications Master's or PhD in Computer Science, Computational Biology, Bioinformatics, or a related field. Minimum of 5 years of hands‑on deep learning model development, with expertise in PyTorch, JAX or Tensorflow. Strong foundation in machine learning, deep learning, and AI algorithms. Demonstrated ability to independently lead research projects, for example by publishing research at top conferences or serving as a staff+ engineer in top industry functions. Previous experience applying AI to biomolecular data is a plus. Experience managing technical teams or leading complex technical projects is a plus. What We Offer Highly engaging work at the frontier of AI‑driven drug discovery that will fundamentally change how new drugs are created. Opportunity to work with world‑renowned leaders in the AI x biology ecosystem who have created some of the most impactful advancements to date and led highly successful technology careers. Highly competitive salary Highly competitive equity package Healthcare and wellness benefits Continuous learning and career growth opportunities Collaborative and supportive startup culture A high‑energy team who are guided by our mission to increase the efficiency of creating new medicines and positively impact millions of lives. Chai Discovery, Inc. is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences to apply. #J-18808-Ljbffr

An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology. #J-18808-Ljbffr