Principal research scientist jobs in Santa Barbara, CA - 2,803 jobs

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

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

About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) 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 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. For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $460K #J-18808-Ljbffr

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Job Description As a Research Scientist on the GenAI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful when they train large models, and we encode our scientific expertise into our products to make that possible. You might be a good fit if you… Are comfortable working with large-scale LLMs in the 10s to 100s of billions of parameters. Have solid ML and RL software engineering and scientific research skills. Have produced novel research related to fine-tuning LLMs or improving upon pre-trained LLMs. Have specialized expertise in topics like fine-tuning, RLHF, LLM tool-use, etc. Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology. Are motivated by working on LLM research that - contrary to the general trend in the field - will be disclosed to the public. Have strong communication skills and a desire to work on a small, fast-paced team. Your Responsibilities Keeping up to date with the research literature and thinking beyond the state of the art to address the needs of our users. Developing and implementing methods that extend and improve model capabilities, reliability, and safety. Rigorously evaluating these methods, communicating the results of your findings, and putting those that are useful into production. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $150,000 - $190,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #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

Cambridge UK (On-site) About AstraZeneca AstraZeneca is a global, science‑led, patient‑focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we are pioneering new frontiers by identifying and treating patients earlier, working towards the aim of eliminating cancer as a cause of death. Come and join our AZ team where you will play a pivotal role in this exciting period of development! As an Associate Principal Scientist, you'll spearhead the development of innovative bioconjugates, pushing the boundaries of science to develop life‑changing medicines. Join us in exploring new frontiers and making a significant impact on global healthcare. Key Responsibilities Lead antibody‑based conjugation projects for both technology development and inclusion in our bioconjugate portfolio. Conceive, design, and synthesize high‑quality antibody conjugates (ADCs, bispecifics/tri‑specifics etc.) using lysine, cysteine, engineered‑cysteine and enzymatic chemistries. Select payloads and rationally design conjugate architectures to optimise stability, payload-antibody ratios (DAR/PAR/OAR), pharmacology, and on‑target potency balance and efficacy. Lead hands‑on expression, conjugation and purification at small‑to‑mid‑scale material (up to gram‑scale), establish robust SOPs, and deliver materials to internal stakeholders on schedule. Express and characterise antibodies, VHHs and fusion constructs; perform bioconjugation, binding assays, and developability assessments. Extensive experience in protein engineering related to antibody conjugate optimisation such as half‑life extension, effector silencing, Fc engineering for thermal stability. Own analytical QC across SEC, HIC, RP‑HPLC, IEX, native and denaturing SEC‑MS. Partner with cross‑functional teams (e.g., therapy area partners, senior leaders, protein engineering, bioanalytics, pharmacology) to set experimental strategy, interpret data, and move programmes through appropriate milestones. Contribute to IP (inventions/patents) and publications; present at internal governance and external conferences. Mentor junior scientists and (where applicable) and matrix‑manage pipeline and technology projects in support of antibody‑conjugates by championing high standards in safety, quality and scientific rigour. Requirements PhD (or equivalent) in Chemical Biology, Biochemistry, Pharmaceutical Sciences, Chemistry or a related field and 8 years' hands‑on experience in bioconjugation/ADCs in biotech/pharma. Demonstrated track record progressing conjugate therapeutics (e.g., ADCs etc.) through key discovery gates and into pre‑clinical development. Deep expertise in bioconjugation chemistries (lysine, cysteine/engineered cysteine, enzymatic); ability to tailor conjugation routes to format, payload and developability constraints. Payload selection and linker-payload design (cleavable/non‑cleavable; acid‑labile, enzyme‑cleavable; rebridging and site‑specific strategies); strong SAR approach. Protein expression and purification (IgG, VHH, fusion constructs) with hands‑on experience in bioconjugation, purification and QC release. Mastery of analytics: SEC/HIC/RP‑HPLC/SAX; LC‑ESI‑MS (native SEC‑MS and denaturing RP‑MS); data analysis and interpretation for batch release and comparability. Proven ability to lead deliverables, communicate progress to cross‑functional leadership, and present complex results to governance/senior stakeholders. Exposure to Fc‑engineering (e.g., FcγR mutations, half‑life modulation) with cell assay execution. Familiarity with display technologies and protein engineering concepts to support conjugation site selection and format design. Experience authoring patents/manuscripts and contributing to articles & grants; effective scientific writing. Desirables Experience in application of AI design methodologies for bioconjugate development i.e. payload site placement, conjugation efficiency, developability or stability. Functional and primary cell assay design and execution (ADCC/ADCP; internalisation; efferocytosis) and associated data analysis/statistics. Familiarity with dual‑payload strategies and rebridging approaches. Broad bioassay toolkit: reporter assays (luciferase/SEAP), flow‑based internalisation, confocal imaging, Incucyte‑based live‑cell readouts. In Office Requirement When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life‑changing medicines. In‑person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of five days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Why AstraZeneca? At AstraZeneca's Oncology R&D business area, you'll be part of a team playing a critical role in driving meaningful change in the way we predict, prevent and treat patients' conditions. We're actively embracing and investing in technology, harnessing digital, data and analytics to reimagine the future of healthcare and deliver improved outcomes to patients beyond core medical. We're shaping the future, improving and speeding up portfolio development, improving the patient experience and outcomes at clinical trials. Join the team that is co‑creating a digital ecosystem with patients at its core. Competitive salary and benefits package on offer. The successful candidate will have access to a flexible employee benefits fund, including holiday purchase and flexible time off, pension contributions, Share Save Plans, and a performance recognition scheme and a competitive, generous remuneration package. Date Posted 15-Jan-2026 Closing Date 23-Jan-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. #J-18808-Ljbffr

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team you'll learn unique skills, work with talented people and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!**Job Category**Software Engineering****Job Details********About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.**Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers.**Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world's #1 AI CRM. We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study.Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team:**Candidates have a strong background in one or more of the following areas:*** **Agentic AI & Reasoning:** LLM-powered agents, reinforcement learning, and autonomous workflows.* **Multimodal & Computer Vision:** Vision-language models (VLM), video understanding, and visual grounding for GUI agents.* **Speech Intelligence:** Voice intelligence, TTS/ASR, human-like turn-taking, and low-latency audio processing.* **Efficient Systems:** Scalable deep learning infrastructure, high-performance audio/video pipelines, and low-latency deployment.* **Core Modeling:** Machine learning methodology, pre-training/post-training (RLHF, DPO), and model distillation.**Responsibilities:*** Own and pursue ambitious research and engineering goals aligned with strategic initiatives.* Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.* Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.* Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.**Minimum Qualifications:*** Ph.D., Master's, or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.* A strong publication record in top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) **OR** a proven track record of shipping AI products to real users.* Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.* Experience with Python and deep learning libraries/platforms (e.g., PyTorch, Jax, or DeepSpeed).* Proven ability to implement, operate, and deliver results via innovation at a large scale.**Preferred Qualifications:*** Full-time industry experience in deep learning research and/or product development.* Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.* Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).* Strong programming skills, with a competitive background (e.g., ACM-ICPC or significant open-source contributions) or experience in UI/graphic design.* Thoughtful about AI impacts, trust, and ethics.* Outstanding communication, collaboration, and problem-solving skills.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.****Accommodations****If you require assistance due to a disability applying for open positions please submit a request via this .****Posting Statement****Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $114,200 - $306,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $137,100 - $334,600 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.### ### ### ### ### ###Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world. Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the “Most Admired Companies in #J-18808-Ljbffr

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Key responsibilities Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content Design and conduct rigorous experiments to validate new ideas and evaluate model performance Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences Contribute to the research community through high-quality publications and open-source contributions Mentor junior researchers and foster a culture of innovation within the research team Work closely with product teams to align research directions with user needs and market opportunities Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Must have: Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models Extensive experience implementing and optimizing large-scale generative models for image or video tasks Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Proven ability to work collaboratively in a team environment Ideal candidate will have: Postdoctoral or industrial research experience in generative AI for video Hands-on experience with text-to-video generation projects Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video Experience working with large-scale datasets and distributed computing environments Track record of successful collaboration with product teams on technology transfers Familiarity with video codecs, compression techniques, and perceptual quality metrics Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish. #J-18808-Ljbffr

Machine Learning Research Scientist : Fast-growing AI research startup : As a Machine Learning Research Scientist, you will drive the development of next-generation AI models at a well-funded startup in the heart of San Francisco. You will lead groundbreaking research initiatives, translate complex theoretical concepts into scalable production code, and collaborate with a world-class team to push the boundaries of what is possible in machine intelligence. Location: San Francisco, USA Why this role is remarkable: Opportunity to work on bleeding-edge AI research that directly impacts the core product roadmap Backed by top-tier VCs in an environment that prioritizes technical excellence and rapid experimentation Join a high-caliber team of researchers and engineers from leading global technology institutions What you will do: Design and implement novel machine learning architectures to solve complex, high-dimensional data challenges Conduct rigorous experiments to validate model performance and ensure robustness in real-world applications Collaborate with engineering teams to integrate research breakthroughs into a scalable software ecosystem The ideal candidate: PhD or equivalent research experience in Computer Science, Mathematics, or a related quantitative field Proven track record of publishing at top-tier AI conferences such as NeurIPS, ICML, or ICLR Proficiency in deep learning frameworks like PyTorch or TensorFlow and strong software engineering fundamentals Next steps Step 1. Visit our website. Step 2. Click Talk to Jack. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free. #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

Granica is an AI research and infrastructure company building reliable and steerable representations for enterprise structured data. The rarest thing in enterprise AI is durable access plus trust. Crunch is how we earn it: a policy-driven physical health layer that keeps large tabular data estates efficient and reliable, safely and reversibly. On top of that foundation, we're building structured intelligence using Large Tabular Models: systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance built in. The Mission AI today is limited not only by model design but by the inefficiency of the data that feeds it. At scale, each redundant byte, each poorly organized dataset, and each inefficient data path slows progress and compounds into enormous cost, latency, and energy waste. Granica's mission is to remove that inefficiency. We combine new research in information theory, probabilistic modeling, and distributed systems to design self-optimizing data infrastructure: systems that continuously improve how information is represented and used by AI. Granica's Research group led by Prof. Andrea Montanari (Stanford), bridging advances in information theory and learning efficiency with large-scale distributed systems. Together, we share a conviction that the next leap in AI will come from breakthroughs in efficient systems, not just larger models. Granica is pioneering a new class of structured AI models: foundational models built to learn and reason from the world's relational, tabular, and structured data. While others focus on unstructured text or media, we are exploring the next frontier: systems that understand and reason over the information that runs the global economy. What You'll Build and Research Invent and prototype algorithms that define the foundations of structured AI, advancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale. Develop adaptive learners that fuse statistical learning theory with large-scale systems optimization, contributing to a new generation of foundational models for structured information. Design architectures that integrate symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data. Build cost models and optimization frameworks that make structured learning efficient, both computationally and economically. Collaborate closely with the Granica Research group led by Prof. Andrea Montanari (Stanford) and with systems engineers to transform theoretical ideas into production-grade systems used across live enterprise workloads. Iterate fast: prototype new model architectures, evaluate on live datasets, and publish results that advance both theory and practice. Contribute to the global research community shaping the future of structured AI and efficient learning. What You'll Bring Ph #J-18808-Ljbffr

Job Title:Associate Principal Data ScientistRequisition ID:R025545Job Description:Your Role Within Our KingdomWe are seeking an Associate Principal Data Scientist-a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling.Responsibilities: Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams. Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and gen AI) to drive system understanding and develop data-powered solutions across the organization. Own design and evaluation of experimentation for optimization systems. Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility. Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy. Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science. Skills to Create ThrillsMinimum Qualifications: Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research). 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS). Strong systems thinking-able to zoom out and define strategy while also diving deep into code and analysis. Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering and Businessteams. Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization. Bonus Points Experience working with advertising data products or monetization systems. Prior work with mobile gaming studios or player behavior modeling. Experience in developing or maintaining experimentation platforms. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow). We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply.We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $143,060.00 - $264,846.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable. #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

Microsoft Quantum has assembled a talented and diverse international team to create the world's first scalable quantum computing system. Our full-stack approach involves exciting innovation from the physics at the quantum plane to providing global quantum services. The Microsoft Quantum program strives to fundamentally change the world of computing to help solve humankind's currently unsolvable problems. We are on the cusp of an accelerated effort in quantum computing. We are looking for a Principal Researcher. This position offers an opportunity to have a meaningful influence on a revolutionary technology. The research and development effort includes a diverse staff of theoretical and experimental physicists, hardware designers and software engineers around the world. For more information about the Microsoft Quantum team, please visit ****************************** Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities * Design and develop novel fault-tolerance strategies for quantum computing systems, working in close collaboration with a multidisciplinary team of theorists and experimentalists. * Advance the theory and implementation of quantum error correction codes, contributing to the development of both logical and physical qubit architectures. * Drive research and experimentation aimed at building scalable, resilient quantum computers capable of delivering practical value. * Engage in creative problem-solving and cross-functional collaboration to overcome technical challenges in quantum system design. * Foster a culture of collaboration, creativity, and technical excellence while embodying. * Other: * Embody our Culture and Values Qualifications Required qualifications: * Doctorate in relevant field AND 3+ years related research experience * OR Master's Degree in relevant field AND 4+ years related research experience * OR Bachelor's Degree in relevant field AND 6+ years related research experience * OR equivalent experience. Other Requirements: * Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: * Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. * Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR), the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. § 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable. Additional or Preferred Qualifications: * Doctorate in relevant field AND 5+ years related research experience * OR Master's Degree in relevant field AND 8+ years related research experience * OR Bachelor's Degree in relevant field AND 12+ years related research experience * OR equivalent experience. * Demonstrated ability to communicate clearly and collaborate effectively with individuals from diverse backgrounds and teams. * Ability to approach problems thoughtfully and with attention to detail, considering multiple perspectives and potential solutions. * Ability to apply AI to accelerate engineering while developing shipping & prototype code. * Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation). * Experience publishing academic papers as a lead author or essential contributor. * Experience participating in a top conference in relevant research domain. * Experience with quantum error-correction, fault-tolerant quantum computing, and/or QCVV. #QuantumCareers #MDQCareers Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

_corporate_fare_ Google _place_ Goleta, CA, USA; Los Angeles, CA, USA; +3 more; +2 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Goleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; San Francisco, CA, USA** . **Minimum qualifications:** + PhD degree in Physics, Computer Science, Engineering, Quantum Information Science, or a related technical field or equivalent experience. + 2 years of experience in Quantum Computing, Chemistry, ComputationalPhysics, Mathematical Modeling, or Applied Mathematics. + Experience in noisy quantum systems, quantum noise modeling, and error mitigation/suppression techniques. + Experience with experimental operation of quantum systems. **Preferred qualifications:** + Experience contributing to or leading projects within large-scale industry or scientific collaborations. + Demonstrated expertise in quantum protocols, characterization methods, and advanced error mitigation/suppression techniques. **About the job** This is a high-impact Senior Research Scientist role focused on pathfinding leading-edge techniques for practical quantum computation on Google's state-of-the-art processors. Leveraging a strong theoretical foundation, you will bridge the gap between abstract protocols and real-world hardware, developing methods that accelerate performance on current noisy processors and toward future error-corrected systems. As a senior member of the team, you will have a large scope of influence, leading the way in the theory, numerical modeling, and optimization of existing approaches while playing a key role in complex and flagship quantum experiments. Your work will not only evolve the state-of-the-art but will directly influence the trajectory of the field and the realization of large-scale quantum computation at Google. 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 aboutbenefits at Google (************************************* . **Responsibilities** + Lead and drive the research and development of error mitigation, suppression, and robust protocols. Architect the theoretical mitigation frameworks for flagship experiments and demonstrations. + Bridge the gap to experiment by driving rigorous numerical simulations and modeling. Work in a tight feedback loop with experimentalists to solve the bottleneck problems defining the path to noise-free results. + Work across several Google teams to collaborate on real-world use by the teams and the research community. + Pioneer and publish high-impact findings. Facilitate impact on experiments and the research community, through proactive, clear communication across theoretical and experimental teams and conferences. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Sansum Diabetes Research Institute has an opportunity for a full-time, board certified, or board-eligible Endocrinologist to serve as a Clinical Research Physician Investigator. SDRI is a non-profit organization and center of excellence with a mission to improve the lives of people impacted by diabetes through research, education, and clinical care. We are a preferred site for industry sponsored clinical trials, a testament to our exceptional research capabilities. On average, SDRI conducts 25+ trials per year, engaging approximately 1,000 participants. Current industry partners include Abbott, Dexcom, Insulet, Eli Lilly, Mannkind, Medtronic Diabetes, Novo Nordisk, Sanofi, Tandem Diabetes Care, and more. We are experts with experience across all study phases, and a broad portfolio of trials and clinical work focused on diabetes and metabolic health. Diversity and inclusivity are prioritized in in our clinical trials---in 2023, 30% of our research participants were from underrepresented populations. We are currently renovating our 18,000 square foot research facility to create a state-of-the-art center where we will accelerate life-changing diabetes research. Position Details: Responsible for 12+ Industry Sponsored Trials Per Year Design, Fund, and Execute Investigator Initiated Trials Develop Strategies and Partnerships to Drive Innovation Across the Enterprise Opportunity to Maintain a Clinical Practice through our Clinics Standard Office Hours Salaried Position: $250,000 - $350,000 Annually NOTE: The listed range is solely a base compensation for experienced full-time physician researchers. It does not include incentives and benefits. The base compensation rate may be adjusted based on training, community need and other possible determining factors. We Offer: Medical/Dental/Vision CME Stipend Malpractice Insurance Disability Retirement 403 (b) Annual Leave and Sick Time Licensure/DEA/Board Exam Fees PSLF Eligibility Requirements: MD or DO with Directly Related Experience in Endocrinology Board Certified or Board Eligible in Endocrinology DEA Certificate Eligible to Work in the United States, Must be in or Relocate to Santa Barbara, CA CA Licensure or the Ability to Obtain CA Licensure Interest in Research, Experience with Research preferred Exceptional Communication and Interpersonal Skills About Santa Barbara: Santa Barbara is known as The American Riviera thanks to its Spanish Colonial Revival architecture, rich heritage, world-renowned food and wine scene, stunning natural beauty and near-perfect weather. We invite you to learn more and to consider joining us at SDRI where you will join an experienced cross-functional team focused on developing and executing trials targeting innovation and excellence crossing drugs, devices, and technology that will impact the health span and life span of people living with diabetes.

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.

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 human-computer 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 Scientist is responsible for the hands-on development, validation, and translation of product-focused algorithms for Cognixion's AR-BCI platform. This role bridges cutting-edge neuroscience 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, biosignal analytics, machine learning, and clinical applications. Partner closely with research, engineering, and product teams to identify compelling algorithmic opportunities, prototype them, validate performance, and facilitate translating successful approaches into production code. Provide detailed input to hardware and software teams regarding product requirements, sensing constraints, and clinical application needs. Algorithm & ML Developer Design and execute data-collection protocols to advance Cognixion's neurotechnology 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 time-frequency 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 or bio-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, validated product 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, validating results statistically, and communicating findings to multidisciplinary teams.