Scientist jobs in Walnut Creek, CA

Stage: Seed Team Size: < 10 We're looking for an Applied RS who can run the gamut of ML from infra to modeling and own the entire ML pipeline--taking advanced models into production. Our ideal candidate will be looking to build a co-pilot product from the ground up: helping to drive everything from key architectural decisions, applying SOTA methods, and shipping advanced production models in close collaboration with the founders. In key role, you will have real product ownership and the chance to influence not just what gets built, but how it gets built in a true 0->1 scenario. If you have 5+ years of experience in Machine Learning (infra and modeling) with 1+ years post-training LLM's and are thinking about starting your own company someday, this could be a great entry-way for you. Not only would you get real-world experience with something so early, but you'd get a chance to make a name for yourself with our investment team as well (making it much easier to get a chance to pitch us on your own idea in the future). About Greylock Greylock is a 1st-tier, early-stage venture capital firm that partners with exceptional founders at the seed and Series A stages. Our mission is to help realize rare potential - backing category-defining companies such as Figma, Anthropic, Ramp, Abnormal Security, Rubrik, Airbnb, LinkedIn, Roblox, Dropbox, and Coinbase. About the Greylock Recruiting Team As full-time, salaried employees of Greylock, our team provides free candidate referrals and introductions to our active portfolio companies. Combined, we bring over 125 years of in-house recruiting experience across startups and large-scale tech companies

We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies 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 ************************

Senior Research Scientist - San Francisco or Redwood City A company who are building AI systems with general physical ability are looking for Senior Reinforcement Learning Research Scientist to build reinforcement learning systems that drive real-world experimentation and tool orchestration. What Will I be Doing: Create and maintain RL environments for optimizing tools, experiments, and process workflows using both simulations and digital twins. Develop safe RL strategies, reward structures integrated with verifiers, and frameworks for moving from offline training to robust online behavior. Define state and action representations and enforce constraints for reliable, long-horizon decision-making. Partner with LLM researchers, agent engineers, and simulation teams to integrate RL agents into live experimental systems. What We're Looking For: Expertise in reinforcement learning, optimal control, or sequential decision-making, with experience applying RL to complex real or simulated systems. Familiarity with safe RL, constrained RL, verifier/detector integration, or multi-step policy evaluation frameworks. Demonstrated ability to build RL environments, design reward structures, and diagnose policy behavior at scale. Comfortable working across ML, simulation, systems engineering, and physical-toolchain interfaces in a fast-paced research environment. What's in It for Me: $200-$300k and meaningful equity Ownership of cutting-edge RL systems deployed in real-world experimental workflows Work at the cutting edge of AI, robotics, and experimental science Contribute to building the world's first physical superintelligence Apply now for immediate consideration!

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

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 $162,400/year and $266,000/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.

Senior RL Research Scientist / Reinforcement Learning Scientist Join a frontier AI team building systems that can act in the physical world, experimenting, optimizing, and controlling real processes through advanced ML, simulation, and automation. This group is pushing the boundaries of physical intelligence, backed by significant long-term funding and a mandate to invent from first principles. If you want to: Work on problems few teams in the world can touch Build RL systems that power real tools, workflows, and scientific processes Operate in a fast, high-ownership, deeply technical culture …this is the kind of role that defines a career. The Role You'll design and deploy reinforcement learning systems that control complex tools, optimize multi-step processes, and operate across high-fidelity simulations and digital twins. Expect hands-on research, real-world experimentation, and tight collaboration with teams across ML, simulation, and systems engineering. What You'll Do Build RL environments for tool control, workflow optimization, and long-horizon decision-making Develop safe and constrained RL methods, verifier-driven rewards, and offline to online training pipelines Create state/action representations and evaluation frameworks for reliable policy behavior Work with cross-functional researchers and engineers to deploy RL agents into real workflows What You Bring Strong background in RL, optimal control, or sequential decision-making Experience applying RL to complex simulated or physical systems Familiarity with safe/constrained RL, verifiers, or advanced evaluation pipelines Ability to design environments, rewards, and diagnostics at scale Comfort working across ML, simulation, and systems interfaces

Staff Data Scientist | San Francisco | $250K-$300K + Equity We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI. In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance. What you'll do: Drive deep-dive analyses on user behavior, product performance, and growth drivers Design and interpret A/B tests to measure product impact at scale Build scalable data models, pipelines, and dashboards for company-wide use Partner with Product and Engineering to embed experimentation best practices Evaluate ML models, ensuring business relevance, performance, and trade-off clarity What we're looking for: 5+ years in data science or product analytics at scale (consumer or marketplace preferred) Advanced SQL and Python skills, with strong foundations in statistics and experimental design Proven record of designing, running, and analyzing large-scale experiments Ability to analyze and reason about ML models (classification, recommendation, LLMs) Strong communicator with a track record of influencing cross-functional teams If you're excited by the sound of this challenge- apply today and we'll be in touch.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: Method Development, Qualification, and Validation: Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines. Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy. Sample Analysis: Support drug absorption, distribution, metabolism, and excretion studies. Perform analysis of AAVs, cells, and tissues to support various stages of research and development. Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks. Documentation Reporting: Draft and review key documents such as SOPs, method development, and sample analysis reports. Maintain accurate and detailed records of all experiments and analyses. Collaboration & Communication Collaborate with manufacturing and preclinical teams to support pipeline needs. Communicate and present findings clearly to internal stakeholders. Qualifications: B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field. 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry. Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, dd PCR, and ELISA. Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL. Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.). Background in RNA-based therapies is highly desirable. Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.) Knowledge of FDA and ICH guidelines for method development, qualification, and validation. Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams. Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. Team-oriented thinking. Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics. We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability. This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions. Key Responsibilities Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records) Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers Research and prototype innovative approaches leveraging both classical and modern machine learning techniques Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations Required Qualifications Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.) Proven track record of transitioning models from research prototypes to production systems Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued) Bonus Qualifications Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC) Background in actuarial modeling, claims forecasting, or risk adjustment methodologies

Key Responsibilities Design and productionize models for opportunity scanning, anomaly detection, and significant change detection across CRM, streaming, ecommerce, and social data. Define and tune alerting logic (thresholds, SLOs, precision/recall) to minimize noise while surfacing high-value marketing actions. Partner with marketing, product, and data engineering to operationalize insights into campaigns, playbooks, and automated workflows, with clear monitoring and experimentation. Required Qualifications Strong proficiency in Python (pandas, NumPy, scikit-learn; plus experience with PySpark or similar for large-scale data) and SQL on modern warehouses (e.g., BigQuery, Snowflake, Redshift). Hands-on experience with time-series modeling and anomaly / changepoint / significant-movement detection(e.g., STL decomposition, EWMA/CUSUM, Bayesian/prophet-style models, isolation forests, robust statistics). Experience building and deploying production ML pipelines (batch and/or streaming), including feature engineering, model training, CI/CD, and monitoring for performance and data drift. Solid background in statistics and experimentation: hypothesis testing, power analysis, A/B testing frameworks, uplift/propensity modeling, and basic causal inference techniques. Familiarity with cloud platforms (GCP/AWS/Azure), orchestration tools (e.g., Airflow/Prefect), and dashboarding/visualization tools to expose alerts and model outputs to business users.

We are seeking a PhD-level Clinical Scientist to support the Biologics License Application (BLA) submission for a Breakthrough Therapy-designated biologic targeting a neurodegenerative rare disease. This role will contribute to late-stage clinical development, supporting clinical data interpretation, regulatory documentation, and cross-functional collaboration as the program advances toward potential approval. Key Responsibilities Support late-stage clinical development and BLA submission activities Interpret and synthesize clinical efficacy, safety, and biomarker data in pediatric populations Author and review clinical sections of regulatory documents (Modules 2 and 5) Collaborate cross-functionally with Regulatory, Clinical Operations, Biostatistics, and Medical Affairs Support FDA interactions and regulatory meetings as needed Qualifications PhD in a life sciences discipline 5+ years of clinical development experience in biotech or pharma Experience supporting late-stage programs and regulatory submissions (BLA/NDA/MAA) Strong scientific writing and cross-functional collaboration skills Experience in rare disease, pediatric, neurodegenerative, or biologics programs preferred Why This Role This is an opportunity to contribute to a Breakthrough Therapy-designated biologic at a critical regulatory milestone, advancing a program aimed at addressing serious unmet need in pediatric neurodegenerative disease.

Key Responsibilities Design and develop marketing-focused machine learning models, including: Customer segmentation Propensity, churn, and lifetime value (LTV) models Campaign response and uplift models Attribution and marketing mix models (MMM) Build and deploy NLP solutions for: Customer sentiment analysis Text classification and topic modeling Social media, reviews, chat, and voice-of-customer analytics Apply advanced statistical and ML techniques to solve real-world business problems. Work with structured and unstructured data from multiple marketing channels (digital, CRM, social, email, web). Translate business objectives into analytical frameworks and actionable insights. Partner with stakeholders to define KPIs, success metrics, and experimentation strategies (A/B testing). Optimize and productionize models using MLOps best practices. Mentor junior data scientists and provide technical leadership. Communicate complex findings clearly to technical and non-technical audiences. Required Skills & Qualifications 7+ years of experience in Data Science, with a strong focus on marketing analytics. Strong expertise in Machine Learning (supervised & unsupervised techniques). Hands-on experience with NLP techniques, including: Text preprocessing and feature extraction Word embeddings (Word2Vec, GloVe, Transformers) Large Language Models (LLMs) is a plus Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch). Experience with SQL and large-scale data processing. Strong understanding of statistics, probability, and experimental design. Experience working with cloud platforms (AWS, Azure, or GCP). Ability to translate data insights into business impact. Nice to Have Experience with marketing automation or CRM platforms. Knowledge of MLOps, model monitoring, and deployment pipelines. Familiarity with GenAI/LLM-based NLP use cases for marketing. Prior experience in consumer, e-commerce, or digital marketing domains. EEO Centraprise is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Lead Data Scientist - Computer Vision/Image Processing About the Role We are seeking a Lead Data Scientist to drive the strategy and execution of data science initiatives, with a particular focus on computer vision systems & image processing techniques. The ideal candidate has deep expertise in image processing techniques including Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection. Responsibilities Solid knowledge of computer vision programs and image processing techniques: Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection Strong understanding of machine learning: Regression, Supervised and Unsupervised Learning Proficiency in Python and libraries such as OpenCV, NumPy, scikit-learn, TensorFlow/PyTorch. Familiarity with version control (Git) and collaborative development practices

Job Title: Senior Business Intelligence Developer Duration: 03+ Months Contract with Possible extension Pay Range: $60-$65 Per hour on W2 Only USC, GC & EAD on W2, No C2C Please Job Brief: • We are seeking an experienced, highly skilled, and self-directed Business Intelligence Developer to join our People Analytics team, empowering our People & Culture function. This is a high-impact, full-time contract role crucial to enhancing our People Analytics capabilities by developing, maintaining, and automating robust data solutions. • You will proactively collaborate with the People Analytics data team and cross-functional partners to address critical tactical and strategic priorities. This includes leading the implementation of enhancements and resolution of backlogs for existing Tableau dashboards, significantly improving data quality across our current Tableau and Snowflake environments, and building reliable, optimized data pipelines to ensure our stakeholders have performant, validated, and trustworthy analytical tools. Responsibilities: • Routinely diagnose, troubleshoot, and resolve complex bugs and performance issues in existing Tableau dashboards. • Translate business requirements from stakeholders into effective, actionable dashboard enhancements. • Maintain and continuously optimize the performance, accuracy, and data integrity of the dashboard portfolio. • Design and execute rigorous data validation and testing protocols to ensure the quality of all published dashboards and reports. • Maintain a deep, current understanding of our dashboard architecture and data models to take immediate, autonomous action on assigned tasks. Required Qualifications: • 5+ years of demonstrated experience developing, maintaining, and troubleshooting complex, high-visibility dashboards in Tableau. • Expert knowledge of People Analytics and core HR metrics (e.g., recruiting, headcount, attrition, engagement). • Exceptional analytical and problem-solving skills with a proven ability to quickly identify and implement fixes for root causes. • Demonstrated ability to operate with a high degree of independence and effectively manage competing, high-priority tasks. Technical Skills: • Expert proficiency in SQL for complex data querying, manipulation, and transformation (Window Functions, CTEs, optimization). • Advanced skill and deep understanding of Tableau for dashboard development, maintenance, and performance optimization. • Hands-on experience with Python for data automation, scripting, and building robust data pipelines (e.g., using Pandas or similar libraries). • Solid knowledge of data warehousing concepts and technologies (e.g., Snowflake, AWS Redshift, or similar) and experience with ETL/ELT processes. Soft Skills: • Proven self-starter with the ability to drive projects forward and operate effectively with minimal supervision. • Executive-level communication skills with a proven ability to work directly with non-technical stakeholders, gather requirements, and effectively navigate sensitive HR situations with professionalism and discretion. (Rationale: Emphasizing communication and direct stakeholder interaction is key for a remote manager-report relationship.) • Excellent organizational skills and attention to detail. Preferred Qualifications: • Direct experience working with HRIS data and familiarity with platforms such as Workday, SuccessFactors, or similar. (Rationale: Prioritizing direct HRIS experience.) • Experience with other BI tools (e.g., Power BI, Looker) is a plus.

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise. You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives. You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work. This is an in office role 3 days/week in our HQ, Santa Clara, CA Your Impact In this versatile role, you will drive impact across both data engineering and data science domains: Data Engineering Foundations Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users. Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies. Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations. Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes. AI/ML Innovation & Business Impact Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales. Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents-such as conversational systems that allow users to query massive datasets using natural language-to improve their accuracy, efficiency, and reliability. Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner. Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation. Qualifications Your Experience 7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering. Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics. Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI. Prior experience developing dashboards in Tableau/Looker or similar data viz platform. Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled. Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost). A solid command of SQL for complex querying and data manipulation. Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion. Preferred Qualifications Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space. Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem. Experience in evaluating and optimizing the performance of AI systems or agents. Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis. An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace (**************************************************************************** UpdateUrns=urn%3Ali%3Aactivity%3A**********048001024) **Your role at Clorox:** The Research and Development organization is embedded within each of our Clorox businesses, taking new generations of consumer products from concept to reality. With such diverse roles as engineers, scientists, packaging experts, and technicians R&D is a community of technical leaders and managers actively involved in virtually every step in the lifecycle of our products, from initial concept to raw materials to final goods on store shelves. R&D is committed to leveraging the latest technology to bring consumers the high-quality, innovative products they expect and deserve. **In this role, you will:** As an R&D Product Development Scientist 2 at Clorox you will play a pivotal role in driving technical excellence and ensure superior product innovation across our Consumer Products and Professional Products portfolios. You'll apply your PhD-level expertise to develop and optimize product formulations that meet the needs of diverse end users from everyday consumers to hospital disinfection. Collaborating cross-functionally with teams in Marketing, Sales, Insights, Microbiology, Analytical Chemistry, and Digital Data, you'll translate scientific insights into impactful product solutions. You'll make a difference from day one, contributing to products used by millions of people while growing your technical and leadership skills working on some of the most trusted brands in the consumer goods industry. In this role you will: + **Drive Innovation** : Develop and refine novel product formulations that deliver a superior product experience, while also creating consumer and customer facing claims and demos + **Execute with Excellence:** Troubleshoot formulation challenges and make relevant measurements to generate data that supports technical solutions and translates them into business impact, while maintaining product specifications, formulation standards, and technical documentation to ensure consistency and compliance. + **Own the Technical Details** : Identify and document novel technical solutions and formulation approaches that may be eligible for intellectual property protection and ensure Clorox's competitive advantage. + **Support Commercialization:** Develop and apply SOPs, test methods, and best practices while leading product and consumer testing, and continuously research ways to evolve and improve R&D tools and approaches to ensure consumer delight and successful product launches. + **Collaborate Across Functions** Work closely with Marketing, Sales, Digital Data, Insights, and cross-functional R&D teams to analyze problems from multiple points of view and connect disparate ideas to create innovative solutions, proposals, and concepts. + **Grow your Career:** Be part of a team that values playing to win, technical curiosity, and raising the bar where your contributions help shape the future of Product Innovation at Clorox. **What we look for:** + Ph.D. Chemistry, Chemical Engineering, or a related field + Candidates must have education and expertise in at least one of the following areas: + Aqueous oxidants, kinetics, and equilibria for cleaning, bleaching and antimicrobials + Organic chemistry, aqueous surfactants, colloids, and interfacial science for household product formulation. + Water soluble polymers for household product formulation. + Experience in evaluation, characterization, and measurement of technology in their area of expertise + Confident self-starter, critical thinker, capable of working independently and cross-functionally with minimal supervision and direction in a fast-paced environment. **Workplace type:** **Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive.** Learn more (********************************************************************************************************* **.** **[U.S.]Additional Information:** At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $88,700 - $165,900 -Zone B: $81,300 - $152,100 -Zone C: $73,900 - $138,300 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes. **Who we are.** We champion people to be well and thrive every single day. We're proud to be in every corner of homes, schools, and offices-making daily life simpler and easier through our beloved brands. Working with us, you'll join a team of passionate problem solvers and relentless innovators fueled by curiosity, growth, and progress. We relish taking on new, interesting challenges that allow our people to collaborate and thrive at work. And most importantly, we care about each other as multifaceted, whole humans. Join us as we reimagine what's possible and work with purpose to make a difference in the world. **This is the place where doing the right thing matters.** Doing the right thing is the compass that guides every decision we make-and we're proud to be globally recognized and awarded for our continuous corporate responsibility efforts. Clorox is a signatory of the United Nations Global Compact and the Ellen MacArthur Foundation's New Plastics Economy Global Commitment. The Clorox Company and its Foundation prioritize giving back to the communities we call home and contribute millions annually in combined cash grants, product donations, and cause-marketing. For more information, visit TheCloroxCompany.com and follow us on social media at @CloroxCo. **Our commitment to diversity, inclusion, and equal employment opportunity.** We seek out and celebrate diverse backgrounds and experiences. We're always looking for fresh perspectives, a desire to bring your best, and a nonstop drive to keep growing and learning. Learn more about our Inclusion, Diversity, Equity, and Allyship (IDEA) journey here (*********************************************** . The Clorox Company and its subsidiaries are an EEO/AA/Minorities/Women/LGBT/Protected Veteran/Disabled employer. Learn more to Know Your Rights (*********************************************************************************************** . Clorox is committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans during the hiring and interview process. If you need assistance or accommodations due to a disability, please contact us at ***************** . Please note: this inbox is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions/application statuses. The Clorox Company and its subsidiaries are an EEO/AA/ Minorities/Women/LGBT/Protected Veteran/Disabled employer.

At Corbion, we exist to champion preservation in all its forms, preserving food and food production, health, and our planet. Corbion's Algae Ingredients business is based in South San Francisco and leads the industry in developing new applications and markets for algae-based products. We have a range of sustainably produced algae products that deliver breakthrough innovations for human and animal nutrition. An opportunity is available in our Pilot Plant group, located in Belmont, CA, to support process development and technology transfer efforts emphasizing upstream microorganism cultivation operations. As our next process development associate, you will be an integral member of a multi-disciplinary team focused on the development of new products and processes utilizing Corbion's unique fermentation based technology. RESPONSIBILITIES: Hands-on role in the setup, operation, and cleaning of bench and pilot scale experiments and equipment, with focus on upstream cultivation of microorganisms and hand-off of fermentation broth to downstream operations. Work on lab and pilot-scale processes emphasizing upstream cultivation operations including media preparation, aseptic operations, fermenter setup, seed train development in flasks and fermenters, main fermentation operations for product formation, etc. Operate lab and pilot equipment and processes independently, including operational support of fermentation processes over weekends. Conduct analytical methods required to monitor processes and materials; hands-on skills with instrumental analysis and wet chemistry. Provide detailed observations of experiments. Record data and assist with the analysis of results. Write test protocols, SOP's and reports. Work within a team framework, with both individual responsibility and support of other scientists. Works closely with the Process Development, R&D, Facilities and Manufacturing Groups. Maintains process area and equipment in good working order. Support site and operations activities as needed, for example ordering and stocking supplies, conducting maintenance and equipment service, and coordinating activities with vendors. Other duties as assigned. REQUIREMENTS: Qualified applicants will possess a A.A. or B.A./B.S. in a technical field (Chemical Engineering, Biochemical Engineering, Chemistry, Biology, Biotechnology or a related field), with 2+ years industrial experience with relevant unit operations, or no degree of the like, but at least 5 years of relevant experience. Flexible work schedule including weekends. Must be able to work an adjusted weekday schedule with work days from Sunday to Thursday; Friday and Saturday would be OFF-days. Ability to shift work days to accommodate operation activities. Experience in operating, cleaning, and maintaining lab and pilot-scale bioprocessing equipment (autoclave, benchtop and sterilize-in-place fermenters, centrifuge, spectrophotometer, etc..) emphasizing cultivation of microbial broth/biomass and associated products produced by fermentation, preferred. Experienced with aseptic operations for cultivating microorganisms preferred. Prior experience in analyzing biological materials using common microbiological and wet chemistry methods (glucose, total sugars, dry cell weight, total solids, optical density of microbial cultures, etc.). Hands-on mechanical skills with operation and maintenance of bioprocessing and utility system equipment. Must be able to lift up to 50 lbs. and/or use assistive measures to lift materials over 50 lbs. Excellent written and verbal communication. Able to work both independently in a multi-disciplinary environment and as a key teammate within an interdisciplinary team. Capable of working in a fast paced environment without sacrificing accuracy, quality of work, and safety. Good organizational and time management skills. Proficiency with Microsoft Excel, Word and Power Point. The below range reflects the range of possible compensation for this role at the time of this posting. This range may be modified in the future. An employee's title and position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, performance, and business or organizational needs. The base salary range for this role is $31 to $38 per hour. About Corbion Corbion is the global market leader in lactic acid and its derivatives, and a leading supplier of emulsifiers, functional enzyme blends, minerals, vitamins, and algae ingredients. We use our unique expertise in fermentation and other processes to deliver sustainable solutions for the preservation of food and food production, health, and our planet. For over 100 years, we have been uncompromising in our commitment to safety, quality, innovation and performance. Drawing on our deep application and product knowledge, we work side-by-side with customers to make our cutting-edge technologies work for them. Our solutions help differentiate products in markets such as food, home & personal care, animal nutrition, pharmaceuticals, medical devices, and bioplastics. In 2024, Corbion generated annual sales of €1,288.1 million and had a workforce of 2,399 FTE. Corbion is listed on Euronext Amsterdam. For more information: *************** Corbion is an equal opportunity employer and committed to a diverse workplace. All applicants will be considered equally without regard to race, color, ethnicity, veteran status, religion, national origin, marital status, political affiliation, age, sex, sexual orientation, handicapping condition, membership in an organization or any other non-merit factors. Corbion provides reasonable accommodation to applicants. EOE/M/F/Vet/Disabled Corbion does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers. All candidates must be submitted by approved Corbion vendors who have been expressly requested to make a submission by our Talent Acquisition team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Corbion Talent Acquisition team and such candidate was submitted to the Corbion Talent Acquisition Team.

Neurodegenerative diseases are one of the largest medical challenges of our time. Denali Therapeutics is a biotechnology company dedicated to developing breakthrough therapies for neurodegenerative diseases through our deep commitment to degeneration biology and principles of translational medicine. Denali is founded on the collaboration of leading scientists, industry experts, and investors who share the vision that scientific discovery energetically applied to translational medicine is the key to delivering effective therapies to patients. We invite you to consider an opportunity with Denali to help achieve our goal of delivering meaningful therapeutics to patients. This position develops, optimizes, and establishes state-of-the-art potency assays for our diverse pipeline of large molecule biotherapeutics with ligand-based and cell-based bioassays to characterize activity and potency of a variety of modalities including antibodies and Fc-fusion proteins as well as oligonucleotide-conjugates and virus-based gene therapies. Key Accountabilities/Core Job Responsibilities: Independently perform bioassays to support cell and plate-based (ELISA, ENZYME ACTIVITY) development for late stage molecule Assist in the development, optimization, and qualification of assays for product release and stability testing as well as characterization of biological activity. Support study sample testing, analysis and maintain complete and accurate records and contribute to continuing process improvement Evaluate, characterize, and document critical reagents to meet QC standards Coordinate parallel tasks across multiple projects and prioritize deliverables to meet departmental and organizational goals. Promote innovation and explore novel analytical techniques or technology. Qualifications/Skills: BS with 3+ years of industry experience or an MS 1+ years relevant experience in the industry Experience in developing and optimizing bioassays using cell based assay, ELISA, HTRF, Enzyme activity, Enzyme Kinetics, Octet is required. Proficient in aseptic technique, mammalian and primary cell handling Proficient in data analysis with Excel and statistical tools such as GraphPad Prism, SoftMax Pro, and PLA 3.0 . Familiar with electronic notebooks and documentation workflows. Ability to balance competing priorities and thrive in a dynamic, fast-paced environment Excellent laboratory, critical thinking, scientific problem-solving, and organizational skills Excellent oral and written communication skills Motivated, detail-oriented, naturally curious individual with a creative approach to scientific problem solving and a burning desire to help patients with neurodegenerative diseases. Salary Range: $107,000.00 to $131,000.00 . Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Denali offers a competitive total rewards package, which includes a 401k, healthcare coverage, ESPP and a broad range of other benefits. Learn more at ****************************************** This compensation and benefits information is based on Denali's good faith estimate as of the date of publication and may be modified in the future.This compensation and benefits information is based on Denali's good faith estimate as of the date of publication and may be modified in the future. Denali is committed to its core company value of unity by creating a diverse and inclusive environment. We are proud to be an equal opportunity employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, basis of disability, or any other federal, state, or local protected class.