Senior scientist jobs in Tulare, CA - 2,567 jobs

A leading AI science company in San Francisco is seeking an Applied Scientist to tackle complex marketing measurement challenges. The role involves designing innovative algorithms and collaborating with clients to ensure accuracy at scale. Ideal candidates will have at least 5 years of experience in research code and a strong mathematical background, including causal inference. The compensation ranges from $235K to $258K, with equity offers and the chance to work with cutting-edge technology in a dynamic startup environment. #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

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

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

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

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

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

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

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

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

Uncountable is seeking a scientific implementation associate who can bring a passion for science and data into a career in business development. This implementation role is designed to help bring both the scientist and their science into the Uncountable ecosystem. In this role you will both support existing customers with new implementation initiatives and support implementation of new customers. You will restructure and contextualize customer data, design implementation data structures within Uncountable, and configure our platform for value-adding use across an organization. This is a fast-paced, project-oriented, customer and engineering facing role. This position demands a passion for data and material science, strong communication and time management skills, and the ability to empathize both emotionally and scientifically with a variety of users spanning the R&D landscape. Within 30 days you will be restructuring customer data to support ongoing implementing efforts. You will work with our account management team to faithfully configure experiments within the platform for scientists. Within 90 days you will begin to lead implementation projects for existing customers, facilitating meetings, collaborating with the account management team on timelines and deliverables, and ensuring success for new usage within our platform. Within 180 days you will take ownership of the implementation process for a new customer. You will lead demos, orchestrate meetings, set timelines, and advocate for new product development to meet the unique needs of our most exciting customers. Salary 70-80k Per Year, in addition to performance bonus and equity Relevant Experience, Skills, and Preferences Bachelor's degree or 2+ years experience in some scientific field (chemistry, biology, materials science, chemical engineering, or related fields) Affinity and familiarity working with data in Excel (Python or other coding skills amajorplus) Excellent virtual and in-person communication skills #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

TITLE: Research Scientist EXEMPT OR NON-EXEMPT: Exempt FULL- OR PART-TIME: Full-time PAY RANGE: $90,000 - $125,000 + bonuses REPORTS TO: Technical Director or as otherwise assigned. The Research Scientist will typically report to the Technical Director but may report to another member of Technology Management, as required. The Research Scientist is responsible for completing assigned research projects focused on the development of quantitative analytical chemistry techniques in support of Edeniq's business objectives including experimental design and conduct, data analysis, generation of meaningful conclusions and recommendations, and timely report writing. Responsibilities will also include conception and design of research projects and objectives, as well as supporting Edeniq Management in the development of technology strategy. Supervision of one or more Support Staff can be expected. Direct support of Company Intellectual Property development can also be expected. The Research Scientist will have a strong personal commitment to safety and be able to succeed in a fast-paced collaborative environment. EXPECTATIONS OF ALL EMPLOYEES: All employees of Edeniq, Inc. (“Edeniq” or the “Company”) must adhere to and follow the policies and procedures in the Company's Employee Handbook and are required to comport themselves to other Edeniq stakeholders (the Company, fellow employees, vendors, customers and other vested Company parties) with respect, support, honesty, courteousness, and hard work-"doing what we said we would do, and doing it well.” ESSENTIAL FUNCTIONS: Conducts and completes assigned research projects: Defines research objectives, milestones, and timelines. Defines project resource requirements. Writes concise research project proposals for Technical Director review and approval. Ensures project research is conducted consistent with project objectives, milestones, and timelines. Effectively manages project resources. Effectively communicates progress toward project objectives, milestones, and timelines to Technical Director and Company Management, as required. Recommends, when appropriate, revisions in project objectives, milestones, and timelines. Analyzes experimental data and generates scientifically valid conclusions and recommendations, as needed, for future research. Provides timely written reports to Company Management describing progress toward project objectives, milestones, and timelines. Provides timely final project report upon project completion. Works with Technology and Company Management to identify and pursue Intellectual Property derived from research project results. Supervises one or more members of Support Staff including direction of daily project activities, data review, coaching and counseling, and performance feedback. Remains current on relevant scientific literature and intellectual property landscape. Develops and maintains competitive intelligence in relevant areas. Directly supports Technology and Company Management in defining new research projects and potential new areas for development. Maintains accurate lab and data records in accordance with Company policies. Ensures a hygienic work environment, participating in lab cleanliness, organization, and other tasks. Supports and adheres to all company policies on safety, chemical hygiene, and the environment. KNOWLEDGE, SKILLS AND ABILITIES: Demonstrated ability to develop and validate novel and robust quantitative analytical chemistry methods. Extensive knowledge of modern analytical techniques: Chromatography (including hyphenated techniques) Spectroscopy Near Infrared (NIR) and Infrared (IR) Raman Ultraviolet and visible (UV/Vis) Fluorescence Nuclear Magnetic Resonance (NMR) Exceptional quantitative data analysis and computer skills: Statistics, including working knowledge of software such as MatLab Multivariate Data Analysis techniques such as Partial Least Squares (PLS) and Design of Experiment (DOE) Data reduction techniques such as Principal Components Analysis (PCA) Exposure to Machine Learning and Visualization would serve as an added recommendation Knowledge of fermentation and carbohydrate chemistry would serve as an added recommendation. Excellent verbal and written communication skills. Team player with the ability and willingness to work effectively in a fast paced, collaborative environment. Strong personal commitment to workplace safety and the environment. Requirements REQUIREMENTS: PhD in Chemistry or a closely related field. Minimum three (3) years' experience in a post-graduate research environment. Must possess and maintain a valid driver's license. PHYSICAL REQUIREMENTS - LAB: Must be able to perform the essential functions with or without accommodations. This position is considered light work, exerting up to 5-10 pounds of force or lifting frequently in a laboratory (and up to 30-40 pounds of lifting infrequently), and work is primarily done upright at a chest high lab counter for lengthy periods of time working with chemicals, beakers, flasks, and other lab equipment: Physical Task Extending hands and arms in any direction - Frequently, up to 75% of the time Move, Traverse - Frequently move about the lab Remain upright at lab counter - Frequently, up to 50% of the time Apply pressure to an object with the fingers and palm - Frequently, up to 50% of the time Raising objects from a lower to a higher position or moving objects horizontally from position to position - Frequently, up to 20% of the time Must be able to handle various chemicals safely and follow safety policies and procedures May handle hazardous and non-hazardous chemicals; exposed to liquids, fumes, dust, and gasses We are an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Salary Description $90,000 - $125,000

With approximately 100,000 planted acres in California's San Joaquin Valley, Wonderful Orchards is the world's largest grower of almonds, pistachios and pomegranates. In early 2015, Wonderful Orchards ventured into the Bee business with the intention of contributing to the long-term health of bees, investing in R&D efforts and further develop best practices for the industry. Wonderful Bees is growing across the nation! Our growth is exciting, but we can't do it alone. Join us in this new venture as we look to expand and hire various roles! Wonderful Orchards and Wonderful Bees are a part of The Wonderful Company, a privately held $5 billion company dedicated to harvesting health and happiness around the world through its iconic consumer brands which include Wonderful Pistachios, Wonderful Halos, POM Wonderful, FIJI Water, Teleflora, and JUSTIN Wine Summary of Position As a member of R&D team which is responsible for validating and creating farming innovations, R&D Scientist implements daily, seasonal, and yearly technical and research tasks at their base location and as needed across all farming locations. Responsible for understanding complex problems and designing and implementing field studies, quickly delivering high impact findings that lead to business success of economically improved yields and quality. Must be able to work independently and remotely under field, lab and office conditions. Must be able to navigate in a widely divergent work environment, interacting with academic professionals as well as farming operations staff. Activities include applied experiments in agronomy, irrigation, cultivars, farming systems, crop protection and crop physiology. Duties & Responsibilities Functions include but are not limited to the following. Must be able to move freely between tasks depending on work load, season, etc. Key responsibilities include but are not limited to: Establish and implement initiatives with supervision of Director of Research. Coordinate and conduct applied agricultural field and laboratory experiments while supporting numerous sequential and overlapping activities. Enhance the robustness of experimental activities through continuous vigilance for precision and accuracy of tasks, including trial design, data analysis, and reporting of results. Engage in Wonderful's corporate culture, participating in organizational and individual activities that deliver on principles of a growth mindset for success. Oversee activities by skilled internal (interns, work crews) and external (academic or vendor) personnel, under field and/or lab sites. Interact and collaborate with public (academic) and private (vendor) technical experts to explore existing and future farming improvements. Creation of budgets as well as cost tracking for applied field and lab experiments. Provide technical consultation to Farming Directors, Crop Managers, Pest Control Advisors, Spray Operations, Irrigation Managers, and field personnel. Seek out and implement opportunities to improve workplace efficiency and safety. Other duties as assigned. Qualifications Qualifications Requirements To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, shall, and / or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function. EDUCATION and/or EXPERIENCE: Master's Degree (with research thesis) in field of Plant Science, Crop Science, or Agricultural Sciences AND 4 years of post-degree agricultural research experience OR Bachelor's Degree in field of Plant Science, Crop Science, or Agricultural Sciences AND 8 years of post-degree agricultural research experience Direct research experience with Wonderful Orchards crops is preferred but not required SPECIFIC KNOWELDGE, AND SKILLS: Track record of identification and testing of improvements, with successful implementation / commercialization resulting in business impact Multi-year / multi-crop experience with trial design, implementation, data collection Statistical analysis using SPSS, RStudio or Excel Data Analysis Toolpak Innovation-oriented, seeking to address current and future challenges with inquisitiveness and dedication to detail Customer-oriented focus, serving the needs of farming operations as an adjunct member of farming teams Digitally proficient, prepared for paperless work environment Understanding of public and private ag research landscape A team player, flexible, consistent, and reliable, able to work with minimal supervision Ability to communicate effectively both in writing and orally for justifying innovative change to various audiences (executives, farm management teams, farming personnel) Knowledge and experience with horticultural crop farming, with preference on orchards or permanent crops under scientific studies Understanding of commercial agricultural conditions and practices, with previous experience relating to conducting scientific studies with grower / farmer cooperators Ability to have safety, productivity, and attention to detail as daily objectives Assess changing workplace conditions and confidently make adjustments within the context of assigned tasks Prior experience with budget estimates and cost tracking for field scientific studies Bilingual English/Spanish preferred LICENSES, AND/OR CERTIFICATIONS: Valid California Driver's License. Holding or appropriate education / experience to obtain PCA certification is recommended but not required. CCA certification Required. Physical Demand(s) The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to stand, walk, climb, talk, hear and drive long distances. Mobility to work in a standard office setting and use standard office equipment, including a computer. Vision to read printed materials and a computer screen include close vision, distance vision, color vision, peripheral vision, and the ability to adjust focus; and hearing and speech to communicate in person, and over the telephone. Finger dexterity needed to access, enter, and retrieve data using a computer keyboard, calculator, and to operate standard office equipment. Occasionally bend, stoop, kneel, reach, push, and pull. Ability to lift, carry, push, and pull materials and objects up to 25 pounds or heavier weights with assistance and/or the use of proper equipment. Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This job will regularly operate in an office environment where the employee will be exposed to low noise levels low and moderate temperature conditions. During ongoing field activities, especially harvest, employee will be subjected to dust, low visibility, loud noises, high temperatures, and extended periods away from restroom facilities. Incumbents may be assigned an irregular work schedule, including weekends, early mornings, evenings, and holidays. Disclaimer This is a summary of typical functions of the job, not a comprehensive list of all possible job responsibilities, tasks, and duties. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Job responsibilities may differ and are subject to change from those outlined in the job description. This document does not create an employment contract, implied or otherwise, other than an ‘at will” relationship. Pay Range: $92,000 to $105,000. Final compensation will be dependent upon skills & experience. Additional Information Why chose Wonderful? Wonderful Nurseries and Wonderful Orchards are part of The Wonderful Company, a privately held $5 billion company, which also has other No. 1 brands such as Wonderful Pistachios, FIJI Water, Wonderful Halos , JUSTIN Wine, and Teleflora . To learn more about The Wonderful Company, visit ****************** or follow us on Facebook, Twitter and Instagram. To view the current Corporate Social Responsibility report, visit ********************** We nourish, naturally - We believe that what you put into your body matters. The most nutritious -- and best-tasting -- foods are those from nature. We play to win - Our employees set ambitious goals and meet challenges with unified purpose and unmatched energy. We act differently - With courage and fearlessness, we are relentless in our quest to inspire healthier. food and beverage choices. As a privately held organization, we have the freedom and the power to make quick and effective decisions. Wonderful Orchards and The Wonderful Company is an Equal Opportunity Employer and with opportunities for advancement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories. EEO is the law - click here for more information

With approximately 100,000 planted acres in California's San Joaquin Valley, Wonderful Orchards is the world's largest grower of almonds, pistachios and pomegranates. In early 2015, Wonderful Orchards ventured into the Bee business with the intention of contributing to the long-term health of bees, investing in R&D efforts and further develop best practices for the industry. Wonderful Bees is growing across the nation! Our growth is exciting, but we can't do it alone. Join us in this new venture as we look to expand and hire various roles! Wonderful Orchards and Wonderful Bees are a part of The Wonderful Company, a privately held $5 billion company dedicated to harvesting health and happiness around the world through its iconic consumer brands which include Wonderful Pistachios, Wonderful Halos, POM Wonderful, FIJI Water, Teleflora, and JUSTIN Wine Summary of Position As a member of R&D team which is responsible for validating and creating farming innovations, R&D Scientist implements daily, seasonal, and yearly technical and research tasks at their base location and as needed across all farming locations. Responsible for understanding complex problems and designing and implementing field studies, quickly delivering high impact findings that lead to business success of economically improved yields and quality. Must be able to work independently and remotely under field, lab and office conditions. Must be able to navigate in a widely divergent work environment, interacting with academic professionals as well as farming operations staff. Activities include applied experiments in agronomy, irrigation, cultivars, farming systems, crop protection and crop physiology. Duties & Responsibilities Functions include but are not limited to the following. Must be able to move freely between tasks depending on work load, season, etc. Key responsibilities include but are not limited to: * Establish and implement initiatives with supervision of Director of Research. * Coordinate and conduct applied agricultural field and laboratory experiments while supporting numerous sequential and overlapping activities. * Enhance the robustness of experimental activities through continuous vigilance for precision and accuracy of tasks, including trial design, data analysis, and reporting of results. * Engage in Wonderful's corporate culture, participating in organizational and individual activities that deliver on principles of a growth mindset for success. * Oversee activities by skilled internal (interns, work crews) and external (academic or vendor) personnel, under field and/or lab sites. * Interact and collaborate with public (academic) and private (vendor) technical experts to explore existing and future farming improvements. * Creation of budgets as well as cost tracking for applied field and lab experiments. * Provide technical consultation to Farming Directors, Crop Managers, Pest Control Advisors, Spray Operations, Irrigation Managers, and field personnel. * Seek out and implement opportunities to improve workplace efficiency and safety. * Other duties as assigned. Qualifications Qualifications Requirements To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, shall, and / or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function. EDUCATION and/or EXPERIENCE: * Master's Degree (with research thesis) in field of Plant Science, Crop Science, or Agricultural Sciences AND 4 years of post-degree agricultural research experience OR * Bachelor's Degree in field of Plant Science, Crop Science, or Agricultural Sciences AND 8 years of post-degree agricultural research experience * Direct research experience with Wonderful Orchards crops is preferred but not required SPECIFIC KNOWELDGE, AND SKILLS: * Track record of identification and testing of improvements, with successful implementation / commercialization resulting in business impact * Multi-year / multi-crop experience with trial design, implementation, data collection * Statistical analysis using SPSS, RStudio or Excel Data Analysis Toolpak * Innovation-oriented, seeking to address current and future challenges with inquisitiveness and dedication to detail * Customer-oriented focus, serving the needs of farming operations as an adjunct member of farming teams * Digitally proficient, prepared for paperless work environment * Understanding of public and private ag research landscape * A team player, flexible, consistent, and reliable, able to work with minimal supervision * Ability to communicate effectively both in writing and orally for justifying innovative change to various audiences (executives, farm management teams, farming personnel) * Knowledge and experience with horticultural crop farming, with preference on orchards or permanent crops under scientific studies * Understanding of commercial agricultural conditions and practices, with previous experience relating to conducting scientific studies with grower / farmer cooperators * Ability to have safety, productivity, and attention to detail as daily objectives * Assess changing workplace conditions and confidently make adjustments within the context of assigned tasks * Prior experience with budget estimates and cost tracking for field scientific studies * Bilingual English/Spanish preferred LICENSES, AND/OR CERTIFICATIONS: * Valid California Driver's License. * Holding or appropriate education / experience to obtain PCA certification is recommended but not required. * CCA certification Required. Physical Demand(s) The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to stand, walk, climb, talk, hear and drive long distances. Mobility to work in a standard office setting and use standard office equipment, including a computer. Vision to read printed materials and a computer screen include close vision, distance vision, color vision, peripheral vision, and the ability to adjust focus; and hearing and speech to communicate in person, and over the telephone. Finger dexterity needed to access, enter, and retrieve data using a computer keyboard, calculator, and to operate standard office equipment. Occasionally bend, stoop, kneel, reach, push, and pull. Ability to lift, carry, push, and pull materials and objects up to 25 pounds or heavier weights with assistance and/or the use of proper equipment. Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This job will regularly operate in an office environment where the employee will be exposed to low noise levels low and moderate temperature conditions. During ongoing field activities, especially harvest, employee will be subjected to dust, low visibility, loud noises, high temperatures, and extended periods away from restroom facilities. Incumbents may be assigned an irregular work schedule, including weekends, early mornings, evenings, and holidays. Disclaimer This is a summary of typical functions of the job, not a comprehensive list of all possible job responsibilities, tasks, and duties. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Job responsibilities may differ and are subject to change from those outlined in the job description. This document does not create an employment contract, implied or otherwise, other than an 'at will" relationship. Pay Range: $92,000 to $105,000. Final compensation will be dependent upon skills & experience. Additional Information Why chose Wonderful? Wonderful Nurseries and Wonderful Orchards are part of The Wonderful Company, a privately held $5 billion company, which also has other No. 1 brands such as Wonderful Pistachios, FIJI Water, Wonderful Halos, JUSTIN Wine, and Teleflora. To learn more about The Wonderful Company, visit ****************** or follow us on Facebook, Twitter and Instagram. To view the current Corporate Social Responsibility report, visit ********************** * We nourish, naturally - We believe that what you put into your body matters. The most nutritious -- and best-tasting -- foods are those from nature. * We play to win - Our employees set ambitious goals and meet challenges with unified purpose and unmatched energy. * We act differently - With courage and fearlessness, we are relentless in our quest to inspire healthier. food and beverage choices. As a privately held organization, we have the freedom and the power to make quick and effective decisions. Wonderful Orchards and The Wonderful Company is an Equal Opportunity Employer and with opportunities for advancement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories. EEO is the law - click here for more information

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