Associate scientist jobs in Santa Barbara, CA - 3,038 jobs

### As a research scientist with Martian, you will develop new techniques to understand how AI models work. This work will focus on exploring and improving a technique we call “model mapping”: converting transformers into more interpretable representations (such as programs). We are looking for people who can develop and scale up methods for making transformers more interpretable through model mapping and then understanding the transformers in the new domain we map to. Full details can be found here. #J-18808-Ljbffr

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

A technology firm specializing in neuroscience is seeking a Research Scientist focused on rodent behavior and neural imaging. The ideal candidate will design experiments, analyze neural data, and translate findings to human studies. Candidates should hold a PhD or postdoc in relevant fields and demonstrate proficiency in ultrasound neuromodulation techniques. This role is critical for advancing non-invasive brain research. #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

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

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

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

An innovative AI startup in San Francisco is looking for a Foundational AI Research Scientist to pioneer next-generation large-language-model architectures. Ideal candidates will have a deep understanding of sequence modeling architectures, expertise in PyTorch, and experience in pre-training large language models. Join a dynamic team to help shape the future of intelligent human-machine interfaces. #J-18808-Ljbffr

A global healthcare company based in San Diego is looking for an experienced scientist to lead biologics discovery and development. This role involves working cross-functionally with Immunology teams and external partners to innovate therapeutics focusing on antibodies and multicentric projects. Candidates should possess a strong background in protein therapeutics with respective educational qualifications and experience. A commitment to diversity and inclusion within the workplace is essential. #J-18808-Ljbffr

A cutting-edge AI startup is seeking an experienced AI Researcher to drive innovative research in generative AI and build multimodal foundation models. Ideally located in San Francisco, the candidate will require a PhD and 5+ years in the field. Responsibilities include designing and implementing models, conducting independent research, and publishing findings. This role is central to advancing AI for earth observation and creating a positive impact. #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

Apply share * link Copy link * email Email a friend Minimum qualifications: * PhD in Physics, Material Science or a related field. * 2 years of experience leading a research agenda. * One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). * Experience developing and sustaining semiconductor fabrication processes in a cleanroom environment. Preferred qualifications: * Experience with multiple, semiconductor equipment (e.g., vacuum, dry etch, PVD/CVD, wet etch, advanced lithography systems, high-volume metrology systems). * Experience with failure analysis techniques (e.g., SEM/EDS, Optical Microscopy, X-Ray, FTIR, XPS). * Experience with micro-fabrication techniques and tools and how these can affect quantum device performance. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Author research papers to share and generate impact of research results across function and in the research community. * Help in growing research business by sharing research trends and best practices within the community. * Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. * Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. * Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: While generative AI models, such as Large Language Models (LLMs) and diffusion models, have reached unprecedented results, they are inefficient and lack interpretability, especially when involved in complex reasoning and scientific computing. In the Emergent Machine Intelligence Team at Hewlett Packard Labs, we are dedicated to pushing the boundaries of what's possible with artificial intelligence. As a Senior Research Scientist, you will be at the forefront of our efforts to develop groundbreaking generative AI models. You will be crafting cutting-edge algorithms and applications by augmenting state-of-the-art LLMs with extensive test-time compute, adopting tools from symbolic AI, incorporating physics simulators, and employing insight from statistical physics and non-equilibrium thermodynamics. You will work closely with a multidisciplinary team of engineers, researchers, and product managers, during full development cycles of pre-training, fine-tuning, and inference. Together, our goal is to build scalable, efficient, and innovative generative AI systems. Join us to be a part of a team that shapes the future of high-performance AI. Key Responsibilities: * Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data. * Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities. * Developing and prototyping novel algorithms for fine-turning, retrieval augmented generation, and in-context learning for various generative models. * Developing algorithms for training and inference in Energy-Based Models. * Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones. * Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community. * Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement. * Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration. * Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings. * Engage with the academic community by attending conferences, workshops, and seminars. Required skills and experience: * PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields. * 5+ years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models * Experience with test-time compute techniques, such as chain-of-thoughts, self-consistency, or reinforcement learning based verifiers, etc. * Proven track record of research in generative models, demonstrated through first tier publications (e.g., NeurIPS, ICML, ICLR, or high impact journals), patents, or publicly available projects. * Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch). * Deep understanding of machine learning algorithms and principles, especially in the context of generative AI. * Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra. * Creative and analytical thinking abilities, with a passion for solving complex problems. * Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences. Desired skills and experience: * Knowledge of computational physics, statistical physics, many-body physics simulations, or quantum computing, and how to apply these principles to develop innovative AI algorithms and models. * Proficiency with hosting and operating locally generative AI models, through frameworks such as ollama, vllm, etc. * Background in discrete optimization, combinatorial optimization, Monte Carlo methods, quantum-inspired algorithms, and applying these disciplines to enhance AI models. * Programming experience in high-performance computing (HPC) environments. * Experience with cloud computing platforms, GPU computing, or FPGA computing Additional Skills: Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #hpeocto Job: Engineering Job Level: TCP_04 States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at ******************************************************* USD Annual Salary: $133,500.00 - $307,000.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Are you a passionate scientist ready to push the boundaries of research and development? Join our dynamic R&D team as an R&D Scientist I, where you ll spearhead groundbreaking experiments, analyze cutting-edge data, and contribute to revolutionary product advancements. If you thrive in a collaborative environment and are driven by discovery, we want you on our team! Who is Meissner? The goal at Meissner is to be more than simply good; it is to be extraordinary. Extraordinary performance comes from extraordinary people. Meissner as a group is passionate about helping our clients manufacture lifesaving and life enhancing drugs, therapies, and vaccines. We develop, manufacture, supply and service advanced microfiltration products and single-use systems worldwide. We know that when you are passionate about what you do, it s more than just a job. Meissner is focused on the development of the whole individual, and we have programs and tools in place to help us stay at our best mentally and physically. In alignment with our commitment to support the growth and development of the whole individual, Meissner has inaugurated a Learning and Development department to solely focus on cultivating our team. When you grow, we grow. How you will make an impact: At Meissner, we provide B2B technical solutions, that are deployed to improve the human condition. Our customers use our products and technologies to develop new therapeutics and many familiar products that support our modern lifestyle. At the core of these products, are in-house technologies that are developed and maintained by highly talented and self-driven engineers and scientists. Contributing to formulations, material testing, and recommendations while correlating material properties and filtration studies to processes. Developing new filters, filtration membranes and application-specific products to meet emerging technological needs. Managing projects with a focus on deliverables, knowledge sharing, and collaboration across teams to ensure successful outcomes. We are looking for a self-driven candidate who is motivated to make an impact in the development of new technologies and join a dynamic entrepreneurial team.. The R&D Scientist I independently plans and executes scientific experiments to develop innovative products, improve processes, and generate data that supports technical and business objectives. This role contributes scientific insight, leads segments of R&D projects, and supports cross-functional collaboration to drive innovation and commercialization. Design, execute, and analyze complex experiments with minimal supervision. Develop and optimize formulations, processes, and analytical methods. Interpret data and translate results into actionable recommendations. Hands-on experimental work involving the characterization of material properties. Process development work in the laboratory involving testing equipment, chemical processes, and testing materials and products (membranes, filters, polymers, etc.). Carry out filter testing, failure analysis, lifetime studies, comparative performance evaluations using appropriate instrumentation that may involve chemical analysis, microscopy, thermal and mechanical properties evaluation. This is an on-site role based out of our headquarters in Camarillo, CA. The skills and experience you ll need: Master s degree required in STEM-related field that is relevant to the operations of the company with 2+ years of relevant experience or PhD with 1+ years of experience. Strong foundation in relevant scientific principles and laboratory techniques. Proficiency with different laboratory instrumentation used in characterizing material properties. Experience in experimental design, statistical analysis, and technical problem-solving. Proven capabilities in writing effective reports and data analysis. Excellent attention to detail and documentation practices. Don t meet every single requirement? Apply anyway. What we can offer you: Full Medical, Dental and Vision coverage with HSA Employer Contributions for eligible plans Additional Perks- HQ Onsite Full Gym, Ultramodern Coffee Bars, Free EV Charging Stations, Employee Discounts 401k, Profit Sharing, 401k Advisory Services Company Sponsored Life Insurance Employee Assistance Program Paid Time Off, Paid Holidays, Anniversary Holiday Ready to make an impact? Let s talk. This position may require you to access information that is subject to U.S. export regulations. You may only access such information if you are a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. government. Meissner is proud to be an Equal Opportunity Employer. US BASE PAY SCALE $87,500 - $108,000 The base pay scale for this role is what Meissner reasonably expects to pay for the position although actual pay may vary from this scale depending on an applicant's experience.

Integrated Resources, Inc is a premier staffing firm recognized as one of the tri-states most well-respected professional specialty firms. IRI has built its reputation on excellent service and integrity since its inception in 1996. Our mission centers on delivering only the best quality talent, the first time and every time. We provide quality resources in four specialty areas: Information Technology (IT), Clinical Research, Rehabilitation Therapy and Nursing. Job Description Performs laboratory experiments related to development of robust upstream processes for manufacturing of human therapeutic proteins produced in recombinant mammalian cells and bacteria. Designs, executes, and analyzes experiments at laboratory scale, including shake flasks, spin tubes, scale down bioreactor systems (Ambr) and bench top reactors (Applikon). Develops and characterizes scaled-down models for upstream unit operations. Responsible for accurate laboratory data entry, lab maintenance and upkeep, and report writing. Supports identification and optimization of alternative laboratory methods and/or equipment to improve work efficiency and throughput. Retains an up to date knowledge of analytical techniques and relevant scientific literature. Keeps Team Leader & Project Manager informed on a regular basis on project status and any circumstances which may alter project scope or established timelines. Qualifications BS in Cell Biology, Molecular Biology, Biochemistry, Chemical Engineering or other relevant area. 1-5 years relevant laboratory experience. Knowledge of and experience with cell culture techniques; cell handling, aseptic technique, cell counting, media preparation, pipetting, centrifugation, filtration, etc. Knowledge of technologies related to protein expression. Experience in cell culture process development and Design of Experiment (DOE) a plus. Knowledge of bacterial fermentation is a plus. Theoretical knowledge and some practical experience in cell culture as demonstrated by presentations and/or publication record. Participates in solving difficult and complex technical problems. Good communication and presentation skills. Team player. Develop solutions to a variety of complex problems. Solutions are imaginative, practical and consistent with organization objectives. Plan schedules and lab activities to accomplish objectives. Ability to track and execute on multiple projects simultaneously. Creative, actively participate in idea generation. Additional Information If you are not interested in looking at new opportunities at this time I fully understand. I would in that case be appreciative of any referrals you could provide from your network of friends and colleagues in the industry. we do have referral bonus of $500 per candidate, if you refer any of your friends or colleague who are looking out for the same job. Kind Regards Dipti Ghodke Senior Technical Recruiter Integrated Resources , Inc. IT Life Sciences Allied Healthcare CRO Certified MBE | GSA - Schedule 66 I GSA - Schedule 621I DIRECT # - 732 - 844 -8719 (W) # 732-549-2030 - Ext - 315 www.irionline.com LinkedIn: https://in.linkedin.com/in/diptighodke Gold Seal JCAHO Certified ™ for Health Care Staffing “INC 5 0 0 0 's FASTEST GROWING, PRIVATELY HELD COMPANIES” (8th Year in a Row)

Our mission is to advance assisted reality by deploying transformative neurotechnology to the people who need it most. At Cognixion, we are building the future of humancomputer interaction through the Cognixion ONE, a regulated medical device that integrates augmented reality with advanced neural and biometric sensing. This wearable system reads and processes brain, eye, and body signals to enable novel control paradigms. Reporting to the VP of Engineering, the Staff Scientistis responsible forthe hands-on development, validation, and translation of product-focused algorithms for CognixionsAR-BCI platform. This role bridges cutting-edgeneuroscience research with robust, production-grade implementations suitable for regulated medical deployment. The ideal candidate thrives equally in the lab and in software, is fluent in modern AI/ML toolchains, and can move seamlessly between biosensing experiments, algorithm development, strategic planning, and communicating research within and beyond the company. Scope of Responsibilities Internal Key Opinion Leader Remain current on advancements in neural sensing, biosignalanalytics, machine learning, and clinical applications. Partner closely with research, engineering, and product teams to identifycompelling algorithmic opportunities, prototype them, validateperformance, and facilitatetranslating successful approaches into production code. Provide detailed input to hardware and software teams regardingproduct requirements, sensing constraints, and clinical application needs. Algorithm & ML Developer Design and execute data-collection protocols to advance Cognixionsneurotechnology platform, including EEG, EMG, EOG, and multimodal biosensing. Analyze data using modern scientific and ML workflows: NumPy/SciPy, Pandas, MNE-Python, MATLAB, scikit-learn, PyTorch, TensorFlow, JAX, and associated visualization libraries (Matplotlib, Plotly, Seaborn). Prototype and implement algorithms in Python, Java, or other mainstream languages as appropriate. Apply classical and advanced signal-processing techniques, including filtering, ICA/PCA, spectral and timefrequency methods, adaptive and spatial filtering, artifact reduction, and model-based approaches. Explore and implement machine-learning and deep-learning models for classification, regression, decoding, multimodal fusion, and real-time inference. Contribute to medical-grade codebases using best practices for reliability, version control, testing, and documentation. Skills & Experience PhD or equivalent experience in engineering, computer science, applied mathematics, neuroscience, or related technical fields. Equivalent industrial experience may be considered; a technical assessment may be required. 10+ years of industry R&D experience, ideally with direct exposure to neurotechnology orbio-signal-based medical products. Demonstrated success shipping at least one product, preferably within regulated medical, neural interface, sensing, or wearable systems. Strong publication and/or patent record showing impactful innovation. Experience translating early-stage research into commercializable, validatedproduct features. Direct experience with biomedical signals (EEG, EMG, EOG, or other non-invasive modalities), data collection, and human-subject experimentation. Deep familiarity with algorithm development, signal processing, ML/AI workflows, and real-time system considerations. Comfortable leading experiments, designing studies, validatingresults statistically, and communicating findings to multidisciplinary teams.