Senior scientist jobs in Santa Barbara, CA

About the Company We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks. About the Role As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises. Responsibilities Benchmarking & Model Analysis Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.) Run large-scale assessment workflows using internal evaluation infrastructure Compare model performance across enterprise-grade task categories Design New Benchmarks from Scratch Identify high-value model application domains through research exploration Construct datasets, including labeling strategy and workforce coordination Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings Advance Automated Evaluation Methodologies Improve systems for scoring generated text beyond standard metrics Explore research in reference-free, rubric-based, and human-aligned evaluation Develop new techniques for reliability, consistency, and repeatability Cross-functional Collaboration Work closely with engineering to scale evaluation infra Partner with customers to refine evaluation relevance and task fit Influence product direction through research insights Qualifications 0-3 years post-grad experience (Master's, PhD, or equivalent applied research) Publications, preprints, or demos showing cutting-edge work Experience with diffusion models, NLP, multimodal, or benchmarking work Ability to operate independently with ambiguity Clean, maintainable research codebases Candidates from: top engineering/research universities applied AI startups well-regarded research internships Required Skills Built or contributed to a benchmark or evaluation methodology Experience in enterprise task model evaluation Stanford / top lab adjacency (per their historical hiring success) Preferred Skills Wants to publish as primary motivation Purely academic with slow timelines Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case) Pay range and compensation package Base Salary: up to $250K depending on background Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates Rapid equity refresh possible based on impact Equal Opportunity Statement Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.). Work Environment & Culture In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing. Tech Environment (while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling. Why This Role Is Unique The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.

AI/ML Scientist - Build the Future of Physics AI- $250,000 to $275,000 Salary You will be part researcher, part builder, part pioneer, someone who thrives at the intersection of machine learning and physics based simulation. The platform is built on massively scalable, cloud native simulation technology that makes it possible to run thousands of high fidelity simulations quickly and easily. This foundation unlocks something big, enabling the generation of large scale datasets that power the next generation of ML models across industries. You will be on the front lines of building and productizing new machine learning approaches for physics based problems, from CFD to thermal simulation. Your work will not just live in a paper, it will deliver measurable value to customers, shape new product capabilities, and push the boundaries of what is possible in Physics AI. You know that rush when your work goes from experiment to production, when the models perform, the results hold up, and you can see the impact firsthand? That is what this role is about. Ready to shape the future of Physics AI? Let's talk. No up to date resume required.

⚡ Research Scientists/Engineers (all levels) 🔍 Focus on Vision Data Infrastructure 🤖 Fundamental AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $250,000 - $600,000 salary + annual bonus Come join one of the only research institutions globally with resources to compete with top AI companies =>10s of 1000s of GPUs to explore state-of-the-art research in LLMs, Multimodal and Agentic AI. Currently seeking AI talent with expertise in building scalable pipelines for vision data to support both image/video generative training and multi-modal alignment. You'll design high-performance pipelines for large-scale image and video datasets, enabling efficient pretraining, alignment, and simulation-based data generation. Responsibilities: Vision Data Sourcing & Curation Collect and organize image and video data from open datasets and the web. Handle data cleaning, filtering, deduplication, and metadata generation. Ensure ethical and compliant data collection at scale. Processing & Augmentation Build high-throughput pipelines for vision data preprocessing (frame extraction, resolution normalization, format conversion, latent caching). Implement GPU-accelerated augmentation and distributed data loading (WebDataset, TFRecords, Parquet). Synthetic & Simulation-Based Data Generation Use simulation tools (e.g., Unreal Engine 5, Isaac Sim, Unity) to generate high-quality synthetic vision data. Create specialized datasets for VLM training, visual reasoning, and agent interaction. Requirements: Strong experience with data engineering, computer vision, or machine learning infrastructure. Expertise in building and scaling ETL/data pipelines for large unstructured datasets. Proficiency with Python, PyTorch, and distributed data frameworks (e.g., Ray, Spark, Dask). Experience with WebDataset, TFRecords, Parquet, or similar high-throughput data formats. Familiarity with GPU-accelerated preprocessing, NVIDIA DALI, or equivalent systems. Understanding of image/video codecs, data compression, and cloud storage optimization. Preferred Experience: Prior work with simulation-based or synthetic data generation using Unreal Engine, Isaac Sim, or Unity. Experience curating datasets for multimodal or vision-language model training. Knowledge of data ethics, privacy, and compliance frameworks for large-scale AI datasets. Experience contributing to open datasets or data-centric AI research. Why apply: Opportunity to join a fast-growing core team that are already pushing AI breakthroughs Highly competitive salary package Work alongside ambitious and bright superstars from tech and academia Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

This is a hybrid position, located in Vista, CA. Unfortunately, we are not able to provide visa sponsorship at this time. About the Company We are passionate about our mission to harness the amazing power of mushrooms for healthier lives. M2 Ingredients is the leading vertically integrated organic functional mushroom solution provider in the Western Hemisphere. We grow our portfolio of functional mushrooms indoors in our controlled, state-of-the-art facility in Vista, CA. M2 Ingredients sells its functional ingredients to global brands in the supplement, beverage and food channels. M2 Ingredients was founded in 2010 by Sandra Carter, a health and wellness expert with a PhD in preventative medicine, and Steve Farrar, a mycologist with over 30 years of experience in growing mushrooms. Both founders are active in the business. Position Summary: The R&D Principal Scientist will lead projects for testing method development & optimization for the M2 Ingredient business. The R&D Principal Scientist will be charged to lead projects related to the improvements of the M2 ingredient portfolio to improve the ingredients potency and bioavailability through strain selection, growth conditions, bioactive compound testing method development and ingredient processing. The R&D Principal Scientist will also participate in the operational readiness to ramp up and launch new ingredients on time, with a high level of quality and maximum customer availability. A successful R&D Principal Scientist is a creative and collaborative partner, is driven, organized, and detail oriented and is thoughtful and effective in problem solving and responding to the customer's needs. Position Responsibilities Collaborate with external labs to optimize and develop analytical methods to strengthen the M2 Ingredients product specifications. Develop and validate through testing the Finish Product Specifications of each new ingredient as it relates to the functional and nutritional benefits of the product. Support the FSQA team in investigation that involves testing method viability and accuracy. Actively participate in new ingredient development, from discovery and initial feasibility assessment to product qualification, business evaluation and commercialization such as new strain development to create ingredient specification that are more competitive in the marketplace. Contribute new ideas within the cross-functional team that drives the innovation pipeline at M2 Ingredients through scientific and technical insights. Ensure projects meet deadlines, quality and regulatory standards from ideation to full scale production by engaging the cross functional team on the project timeline and keeping the team informed and accountable throughout the development phases. Collaborate with CSO and Mycology team on creating patent filing submission dossiers and contribute to patent strategy. Qualifications M.Sc. in chemistry, biochemistry or other relevant science degrees. 5 + years of experience in the functional ingredients, dietary supplements or functional food industry in product development role including experience formulating, leading plant trials and production start-up. Laboratory experience or experience interpreting results for the following analytical methods an asset: mass spectrometry, DNA sequencing, chromatography, antibody assays. Experience managing external laboratories and contract research organization Excellent verbal and written communication skills. Proven ability to prioritize and organize workload to ensure timely delivery of tasks. Passion for product testing, food science and safety and quality in the food industry. Exceptional ability to identify and resolve problems efficiently and effectively by providing appropriate solutions. COMPENSATION & BENEFITS This full-time role will receive a competitive salary + benefits, including medical, dental, vision, PTO, 401k match. This position's anticipated annual pay range is $120,000 - $140,000 plus an annual bonus. Various factors are considered when determining an individual's compensation-including a candidate's professional background, education, certifications, experience, professional licenses, and location. Final offer amounts may vary from the amounts listed. We neither ask for nor consider the salary history of applicants. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. LOCATION M2 Ingredients is located in Vista, CA (about 35 miles north of San Diego and 60 south of Orange County). This position requires you to work full time, on-site in our Vista, CA location minimum of 3 days per week.

Scientist, In Vivo Pharmacology - Permanent - Palo Alto, CA Where curiosity meets purpose-join us in shaping the future of science. Primary Responsibilities: Proclinical is seeking a highly motivated, dynamic Scientist to support in vivo research on our cutting-edge pipeline and discovery programs. You will be involved in the preparation and execution of murine animal experiments and the collation of data. The Scientist of In Vivo Pharmacology will: Preparation for and execution of translational experiments such as in vivo pharmacology and disease model experiments, including experiments in knockout and transgenic mice Animal handling during murine experiments, and handling of murine tissues resulting from animal experiments Management of relationships with third-party vendors on mouse breeding and shipping Identification, ordering, organization, storage, and proper disposal of laboratory reagents required for studies In collaboration with the Laboratory Biology team, aid in maintaining laboratory space and inventory Recording and filing data, preparing technical reports, and study summaries Report progress of projects in a timely and concise manner to supervisor May independently lead the development and implementation of new assays to support research projects; may independently execute experiments and perform data analyses of moderate complexity; may have responsibility for specific method or study. Occasionally provides assistance to and/or mentoring other technical staff, new research staff or interns Manages personal experimental timelines to meet project and personal goals Presents findings at the scientist, department, and site-level. Function as part of a collaborative team to support research needs Contribute to the optimal functioning of the research team, including implementation of new tools and technologies. Skills & Requirements: S. and 7+ years of laboratory experience (academic and/or industry) or M.S. with 5+ years of laboratory experience (academic and/or industry) Degree must be in a life sciences discipline, preferably cellular and/or molecular biology, biochemistry, and/or microbiology/immunology 3+ years of hands-on experience with in vivo murine research required, with mouse pharmacology and inflammation disease model experiments highly desired Experience in experimental techniques such as handling of animal tissue, cell culture, qRT-PCR, flow cytometry, and ELISAs/MSDs is required Experience in immunology research, including research with primary immune cells, would be valuable Must be highly organized, punctual, and precise both in regards to performing laboratory experiments as well as maintenance of the laboratory space. Ability to work independently and occasionally during non-traditional work hours as may be required by some experiments and will need to be comfortable in a laboratory and animal facility setting. Possesses effective problem-solving, organizational, and communication skills Experience with Microsoft software suite (Word, Excel, PowerPoint), and other commonly used computer applications (Zoom, MS Teams, Box, etc.) Clear and effective communicator across verbal, written, and interpersonal settings If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - https://www.proclinical.com/privacy-policy

About our team: Our team is dedicated to revolutionizing B2B e-commerce through the development of a groundbreaking AI search product. Leveraging cutting-edge LLM technology, we're creating a brand new AI search engine and streamline the entire purchasing process for B2B customers. Responsibilities ● Deliver full projects by defining the data structure, framework, design, and evaluation metrics for AI solution development and implementation. ● Develop and deploy Large Language Models (LLMs) to empower search and agent systems for a variety of applications. ● Identify new and upcoming product innovation areas by interacting with potential external and internal collaborators. ● Identify undefined problems in existing technology and engage stakeholders and leaders to address them. Qualifications ● PhD, Master's, or Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields. ● Ability to implement and verify state-of-the-art NLP or Computer Vision algorithms. ● Experience in successfully applying machine learning approaches to real-world personalization problems. ● Experience with building large language models. ● Knowledge of statistical methods, with strong mathematical skills. ● Excellent problem-solving and programming skills in Python. The pay range for this position at commencement of employment is expected to be between $196,500/year and $325,500/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Join a mission-driven team transforming the future of functional wellness through science. As the R&D Principal Scientist with my client, you'll lead innovation that enhances ingredient potency, bioavailability, and analytical rigor-directly influencing how cutting-edge mushroom solutions reach global brands. This is a high-impact role where your technical vision will shape tomorrow's products. Why You Should Apply Lead advanced analytical method development and ingredient optimization Drive innovation from early discovery through full commercialization Collaborate with visionary scientific, mycology, and cross-functional teams Competitive salary range: $120,000-$140,000 + annual bonus Robust medical, dental, vision, PTO, 401(k) match & more What You'll Be Doing Partner with external labs to refine analytical methods and strengthen specifications Validate functional and nutritional product attributes for new ingredients Support FSQA investigations through method testing and viability assessments Contribute to innovation pipeline via scientific insights and feasibility evaluations Manage project timelines from R&D ideation to full-scale production Collaborate on patent dossier creation and intellectual property strategy About You M.Sc. in Chemistry, Biochemistry, or related scientific discipline Strong background in functional ingredients, supplements, or functional foods Familiarity with analytical platforms such as mass spectrometry, DNA sequencing, or chromatography Skilled at managing external labs and CRO relationships Organized, solutions-focused, and effective in cross-functional environments How To Apply We'd love to see your resume, but we don't need it to have a conversation. Send us an email to ************************** and tell me why you're interested. Or, feel free to email your resume. Please include Job#19648.

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets Proactively proposes and uses sensory and analytical analysis to guide and validate the development process Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications Provides feedback to project lead regarding relevant technical and process information Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals Utilizes NotCo's proprietary AI technology to develop and improve food products Supports formula validation activities as well as process development, scale-up and technology transfer Engages in client communications and workshops, bringing technical Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: Bachelor's degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline. 2 + years of Food R&D experience is desired, preferably across both food and beverage categories. Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them. Adapts easily to changing priorities and direction based on new project learnings and team priorities. Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills. Comfortable in client-facing situations and able to communicate complex topics clearly and simply. Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset. Be a problem solver, have a general manager mindset, and take the initiative to get the job done Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them. Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel Authorization to work in the U.S. is required Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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

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

At Apeel, we look to nature to help the global food system extend quality, prevent waste, and ensure an abundant future for our planet. We believe that our most essential ingredient in our recipe for success is our people. We strive to cultivate an environment where everyone is welcomed, and can bring their full, authentic selves into everything they do at Apeel. Humility, Ingenuity, Leadership, Teamwork and Grit are the values that define us and how we work with each other, customers, and communities across the globe. About this Role Apeel Sciences is seeking a highly motivated, creative, and research-oriented formulation development expert to join our team. As a key member of our R&D department, you will be responsible for identifying and optimizing the performance, mixability, and robustness of novel formulations. The ideal candidate will be a hands-on scientist who thrives in a collaborative, fast-paced environment and brings deep technical knowledge of colloidal systems. While the primary focus is on discovery and optimization, the role also includes support for scale-up and technology transfer activities. This position will report to the Senior Director of R&D and will be based out of our headquarters in Goleta, California. We're looking for someone to join our team immediately. What You'll Do Design and execute experimental studies to develop and optimize formulations aimed at extending the shelf life of fresh produce and reducing postharvest spoilage across the supply chain. Design, conduct, and analyze Design of Experiments (DoEs) to maximize product performance, stability, and robustness. Perform formulation feasibility studies, including evaluation of the impact of formulation changes on on-fruit product performance and solution stability. Select appropriate emulsifiers, surfactants, stabilizers, and processing methods (e.g., high-shear mixing, sonication, microfluidization) that maximize product performance and solution stability. Characterize formulations using techniques such as rheology, microscopy, and particle size analysis. Collaborate closely with cross-functional teams, including R&D, Manufacturing, Quality Assurance, and Regulatory Affairs, to ensure alignment and successful execution of scale-up activities. Stay abreast of industry trends, emerging technologies, and best practices in formulation development and scale-up. What You Bring Ideal candidates for this position will hold an advanced degree (PhD preferred) in Chemistry, Chemical Engineering, Materials Science and Engineering, Food Science, Pharmaceutical Sciences, or a related STEM field. Hands-on experience ( e.g. , PhD with 0-2+ years) in formulation optimization and process development within the pharmaceutical, food, cosmetics, biotechnology, or related industries. In-depth knowledge of formulation techniques, process optimization, scale-up methodologies, and IPC development for multi-phase systems, including emulsions, dispersions, and liquid concentrates. Analytical skills with experience in statistical analysis and DoE (Design of Experiments), and demonstrated application to process optimization and troubleshooting. Knowledge of solution characterization techniques, including but not limited to turbidity, viscosity, rheology, and particle sizing. Excellent project management skills with the ability to prioritize tasks and manage timelines effectively. Ability to communicate complex technical information clearly and effectively across different functions and levels of the organization. Independent and problem-solving mindset with a track record of successfully overcoming challenges in scale-up processes. Ability to perform indoor and outdoor work in cold or hot environments, drive a vehicle, and lift and move boxes of fruit (up to 40 lbs). Up to 5% travel (domestic and international) may be required. Physical Requirements Ability to walk and stand for extended periods (up to 8 hours a day), traverse uneven terrain, and move swiftly through packinghouse or other agricultural environments. Be able to climb a step ladder Capability to lift and carry moderate to heavy loads up to 40 lbs, such as equipment, boxes and bags of fruit or product. Manipulate up to 100 pounds with assistance. Proficiency in and dexterity for handling small tools and delicate equipment for tasks. Stamina to perform physically demanding tasks for prolonged periods. Capacity to bend, stoop, squat, and kneel repeatedly (up to 8 hours a day). Ability to coordinate hand-eye movements and manipulate objects accurately, essential for tasks such as laboratory work and equipment operation. Knowledge of proper lifting techniques, use of protective equipment, and adherence to safety protocols to prevent accidents and injuries. Must be able to perceive and respond to dangerous situations. Our total rewards packages may include comprehensive health plans, 401k matching, equity, flexible PTO, sick leave, paid parental leave, and more! Compensation for this role is expected to be between $120,000 and $145,000. Actual base pay may be higher or lower depending on geographic locations, skills, experience, and other factors permitted by law. At Apeel, we value potential and recognize that great candidates come from diverse backgrounds. We seek to build a diverse and inclusive workforce where everyone can thrive. If you are enthusiastic about this role and believe your unique perspective would be an asset to our team, but don't meet every qualification, please don't hesitate to apply! Apeel believes that the scale of our impact is determined by the teams that work with us. As such, we seek to build high-performing teams of people from various experiences and backgrounds who can collectively push our company into new realms. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have any need for accommodations, you can let us know if you choose and know that we will do our best to assist you.

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

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

About the Company We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks. About the Role As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises. Responsibilities Benchmarking & Model Analysis Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.) Run large-scale assessment workflows using internal evaluation infrastructure Compare model performance across enterprise-grade task categories Design New Benchmarks from Scratch Identify high-value model application domains through research exploration Construct datasets, including labeling strategy and workforce coordination Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings Advance Automated Evaluation Methodologies Improve systems for scoring generated text beyond standard metrics Explore research in reference-free, rubric-based, and human-aligned evaluation Develop new techniques for reliability, consistency, and repeatability Cross-functional Collaboration Work closely with engineering to scale evaluation infra Partner with customers to refine evaluation relevance and task fit Influence product direction through research insights Qualifications 0-3 years post-grad experience (Master's, PhD, or equivalent applied research) Publications, preprints, or demos showing cutting-edge work Experience with diffusion models, NLP, multimodal, or benchmarking work Ability to operate independently with ambiguity Clean, maintainable research codebases Candidates from: top engineering/research universities applied AI startups well-regarded research internships Required Skills Built or contributed to a benchmark or evaluation methodology Experience in enterprise task model evaluation Stanford / top lab adjacency (per their historical hiring success) Preferred Skills Wants to publish as primary motivation Purely academic with slow timelines Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case) Pay range and compensation package Base Salary: up to $250K depending on background Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates Rapid equity refresh possible based on impact Equal Opportunity Statement Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.). Work Environment & Culture In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing. Tech Environment (while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling. Why This Role Is Unique The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets Proactively proposes and uses sensory and analytical analysis to guide and validate the development process Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications Provides feedback to project lead regarding relevant technical and process information Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals Utilizes NotCo's proprietary AI technology to develop and improve food products Supports formula validation activities as well as process development, scale-up and technology transfer Engages in client communications and workshops, bringing technical Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: Bachelor's degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline. 2 + years of Food R&D experience is desired, preferably across both food and beverage categories. Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them. Adapts easily to changing priorities and direction based on new project learnings and team priorities. Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills. Comfortable in client-facing situations and able to communicate complex topics clearly and simply. Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset. Be a problem solver, have a general manager mindset, and take the initiative to get the job done Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them. Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel Authorization to work in the U.S. is required Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.