Senior scientist jobs in Pflugerville, TX - 111 jobs

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are now looking for a Research Scientist New Graduate with a focus on Machine Learning Systems (MLSys). NVIDIA Research is seeking exceptional systems researchers to contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. Advances in AI/ML heavily rely on the development of efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models. AI/ML applications are also pushing the limits of both personal devices and warehouse-scale data centers. All layers of AI systems need to be co-designed and co-optimized to maximize performance and energy efficiency, improve scalability, and support emerging algorithms in this space. We are seeking candidates that have a proven track record of research excellence, a broad perspective on systems design across the full hardware/software/infrastructure stack, and depth in one of the layers such as AI/ML systems, operating systems, distributed systems, data management, cloud computing, and computer architecture. What you'll be doing: * Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications. * Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales. * Contribute to the co-design of next-generation AI/ML algorithms and systems. * Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking. * Publish original research and speak at conferences and events. What we need to see: * Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience). A strong publication, patent, and research collaboration history is a huge advantage. * Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds. * Background with experimental research and development. * Experience with C, C++, Python, and/or scripting languages. * Experience with using AI tools for analysis, design, and code development. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Machine Learning Scientist II - VRBO Pricing Introduction to the team: Travel platform pricing and monetization has critical impacts on business health. The Machine Learning Science team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi-billion dollar revenue. As a Machine Learning Scientist II, you will help to research and build this pricing system. You will work on end-to-end pricing problems. You will collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. You will contribute to an area of active scientific research: causal inference using machine learning methods, mixed integer programming, ML-based demand estimation, experiment design with spillovers. In this Role, you will: Help to research and implement scalable machine learning and data science solutions end to end with engineering rigor. Articulate technical solutions and plans to stakeholders. Follow the latest technology and research and be able to customize them to our problem space. Guide to solutions using data insights. Collaborate with other machine learning and data science teams to build a great data science culture in Expedia Group Minimum Qualifications: Advanced degree in a quantitative field (Computer Science, Statistics, Operations Research, Economics) or equivalent professional experience. Hands-on experience in machine learning, operations research, or causal inference. Strong analytical skills for working with complex datasets and generating actionable insights. Proficiency in Python or Scala. Familiarity with big data ecosystems such as Hadoop or Spark. Solid understanding of modern ML and data science techniques and their mathematical foundations. Ability to communicate clearly and effectively. Pragmatic approach to problem-solving. Preferred Qualifications: Experience in pricing strategies or revenue optimization. Background in large-scale marketplace experiment design and analysis. Exposure to mixed-integer programming and ML-based demand estimation. Knowledge of causal inference methods applied to real-world business problems. Experience collaborating in cross-functional teams with engineers, product managers, and analytics professionals. The total cash range for this position in Austin is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group™ Media Solutions, Expedia Local Expert , CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Title Senior Research Scientist Agency Texas A&M Agrilife Research Department Temple Proposed Minimum Salary Commensurate Job Type Staff Job Description About Texas A&M AgriLife Texas A&M AgriLife is comprised of the following Texas A&M University System members: Texas A&M AgriLife Extension Service Texas A&M AgriLife Research College of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information The Senior Research Scientist, under general supervision, designs, performs, and analyzes experiments. Mentors students on analyzing and preparing data results. Responsibilities: Use on-farm data from across the U.S. to develop yield stability zones and evaluate on-farm profitability within those zones. Advance precision nitrogen-use-efficiency and phosphorus-use-efficiency measurements in a geospatially explicit context on farms from across the U.S. Develop methodologies to evaluate precision agriculture technologies (e.g., precision orientation planting, unmanned technologies, digital soil nutrient sensing, and precision nutrient application) across scales (plot to whole farm) to advance the adoption of precision conservation. Designs, performs, and analyzes experiments consistent with project objectives. Conducts independent research aligned with the TAMUS member's mission. Keeps detailed records of procedures and data. Provides leadership. Mentors students on analyzing and preparing data results Train members of the laboratory. Validates strategic decision-aid models. Presents research results. Develops procedures to improve efficiency and accuracy of data collection and analyses. Identifies, assimilates, and synthesizes data needed for computer models and manages databases relating to statistical and related software. Maintains expertise with the latest hardware and software technologies for statistical and numerical data analyses. Keeps up-to-date on scientific research via reading of literature, etc. Attends scientific meetings and seminars for research enhancement. Prepares data for publication and presentation. Writes grants and proposals to acquire external funding. Coordinates laboratory activities. Maintains laboratory instrumentation and follows applicable safety standards. Performs other duties as assigned. Required Qualifications: PhD in a related field. Eight years of related experience in a specialized and relevant field of research. Excellent verbal and written skills. Presentation skills. Analytical skills. Attention to detail. Must be able to work independently as part of a multidisciplinary collaborative team. Ability to multitask and work cooperatively with others. Other Requirements: May have to work weekend and/or after business hours. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate's qualifications. Applicant Instructions: Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application. Required Documents: CV/ Resume Cover letter List of references Why Work at Texas A&M AgriLife? When you choose to work for Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents. In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following: Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums 12-15 days of annual paid holidays Up to eight hours of paid sick leave and at least eight hours of paid vacation each month Automatic enrollment in the Teacher Retirement System of Texas Employee Wellness Initiative for Texas A&M AgriLife All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.

Job Title Senior Research Scientist Agency Texas A&M Agrilife Research Department Temple Proposed Minimum Salary Commensurate Job Type Staff Job Description About Texas A&M AgriLife Texas A&M AgriLife is comprised of the following Texas A&M University System members: * Texas A&M AgriLife Extension Service * Texas A&M AgriLife Research * College of Agriculture and Life Sciences at Texas A&M University * Texas A&M Forest Service * Texas A&M Veterinary Medical Diagnostic Laboratory As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information The Senior Research Scientist, under general supervision, designs, performs, and analyzes experiments. Mentors students on analyzing and preparing data results. Responsibilities: * Use on-farm data from across the U.S. to develop yield stability zones and evaluate on-farm profitability within those zones. * Advance precision nitrogen-use-efficiency and phosphorus-use-efficiency measurements in a geospatially explicit context on farms from across the U.S. * Develop methodologies to evaluate precision agriculture technologies (e.g., precision orientation planting, unmanned technologies, digital soil nutrient sensing, and precision nutrient application) across scales (plot to whole farm) to advance the adoption of precision conservation. * Designs, performs, and analyzes experiments consistent with project objectives. Conducts independent research aligned with the TAMUS member's mission. Keeps detailed records of procedures and data. * Provides leadership. Mentors students on analyzing and preparing data results Train members of the laboratory. * Validates strategic decision-aid models. Presents research results. * Develops procedures to improve efficiency and accuracy of data collection and analyses. * Identifies, assimilates, and synthesizes data needed for computer models and manages databases relating to statistical and related software. * Maintains expertise with the latest hardware and software technologies for statistical and numerical data analyses. Keeps up-to-date on scientific research via reading of literature, etc. Attends scientific meetings and seminars for research enhancement. * Prepares data for publication and presentation. Writes grants and proposals to acquire external funding. * Coordinates laboratory activities. Maintains laboratory instrumentation and follows applicable safety standards. * Performs other duties as assigned. Required Qualifications: * PhD in a related field. * Eight years of related experience in a specialized and relevant field of research. * Excellent verbal and written skills. * Presentation skills. * Analytical skills. * Attention to detail. * Must be able to work independently as part of a multidisciplinary collaborative team. * Ability to multitask and work cooperatively with others. Other Requirements: * May have to work weekend and/or after business hours. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate's qualifications. Applicant Instructions: Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application. Required Documents: CV/ Resume Cover letter List of references Why Work at Texas A&M AgriLife? When you choose to work for Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents. In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following: * Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums * 12-15 days of annual paid holidays * Up to eight hours of paid sick leave and at least eight hours of paid vacation each month * Automatic enrollment in the Teacher Retirement System of Texas * Employee Wellness Initiative for Texas A&M AgriLife All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.

**The Role:** General Motors is seeking a **Senior AI/ML Scientist** to join the Vehicle Mechatronic Embedded Controls (VMEC) organization. In this role, you will design and deploy advanced machine learning solutions that drive innovation across vehicle lifecycle management, diagnostics, and predictive maintenance. You will work on cutting-edge AI technologies, including large language models (LLMs), generative AI, and real-time inference systems, to enable intelligent, scalable solutions for automotive applications. **What You'll do:** + Develop and deploy production-grade ML models and AI systems for diagnostics, predictive maintenance, and anomaly detection supporting product health. + Build and optimize LLM-based applications, including Retrieval-Augmented Generation (RAG) systems for technical documentation and automated analysis. + Implement predictive models for failure detection, remaining useful life, and early warnings. + Apply advanced ML techniques such as deep learning, NLP, time-series forecasting, and generative AI. + Create scalable data pipelines and real-time inference systems. + Collaborate with cross-functional teams and mentor junior engineers. + Present insights to both technical and non-technical stakeholders and drive adoption of ML solutions through dashboards and APIs. **Your Skills & Abilities (Required Qualifications)** + Bachelor's degree in Computer Science, Engineering, or related field. + 5+ years of experience deploying ML models in production environments. + Expertise in Python and ML frameworks (PyTorch, TensorFlow). + Strong SQL and distributed data processing skills (Spark, Hive). + Real world experience with ML platforms (Databricks, MLflow, Azure ML). + Familiarity with cloud platforms and containerization (Docker, Kubernetes). **What Will Give You A Competitive Edge (Preferred Skills)** + Master's or Ph.D. in a related field. + 8+ years of experience in ML solutions. + Deep expertise with LLMs, RAG architectures, and vector databases. + Knowledge of predictive maintenance, anomaly detection, and automotive diagnostics. + Experience with generative AI technologies and advanced NLP techniques. **Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. **- The salary range** for this role is 128,700 and 261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. **- Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: **- Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Meet the Team** Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. **Your Impact** + Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. + Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. + Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. + Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. + Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. **Minimum Qualifications:** + PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. + Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. + Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) + Experience translating research ideas into production systems. **Preferred Qualifications:** + Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. + Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. + Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. + Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. + Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. + MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. + Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Agilent is known for high product quality and technological innovation. Our people possess an innovative and digital drive. They incorporate automation, advanced materials, or AI into their work with sustainability in mind. Use your skills to maintain and improve our integrity and the quality of our products, and become part of a collaborative company that encourages freedom, influence, and development. Currently we are hiring for a Process Development Scientist in Cedar Creek, Texas. Responsibilities for the role will include: * Support the development, transfer, scale-up, validation, and continuous improvement of manufacturing processes and equipment for Agilent's Genomics line of products.. * Supports process and test method development and scale-up of manufacturing processes for production in a lab environment. * Writes and implements shipping and stability studies. * Designs and optimizes processes for manufacturing using statistics-based experimentation and principles of process excellence including DfM practices. * Works with internal organizations and vendors to ensure regulatory and company compliance of manufacturing processes. * Involved in new product scale-up, purification, process optimization, technology transfer and process validation activities. * Develops production procedures and product specifications. * Supervises the performance of processes and equipment and makes recommendations for quality and continuous improvements. * Works with equipment vendors to define, develop, implement and qualify process equipment. Qualifications Qualifications * Bachelor's or master's degree in a related discipline. * 3+ years of experience with a minimum of 2 -3 year of experience as a support scientist in a manufacturing environment. * Strong technical understanding and excellent bench skills in one or more of the following areas: NGS, Microarray, PCR/QPCR, Laboratory Automation Preferred Skills and Experience * Experience working in a regulated environment, and familiar with regulatory standards and requirements (ISO13485, 21 CFR Part 820, or similar). * Experience designing/writing/executing validation plans, equipment qualifications, stability studies, protocols, and/or shipping validations. * Experience implementing DfM and/or QbD approaches during NPI transfers. * Use of statistical techniques and statistical and graphical tools to analyze experimental data, troubleshoot and optimize processes, perform sample size calculations. Additional Details This job has a full time weekly schedule. Applications for this job will be accepted until at least January 16, 2026 or until the job is no longer posted. The full-time equivalent pay range for this position is $103,200.00 - $161,250.00/yr plus eligibility for bonus, stock and benefits. Our pay 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. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: ************************************* Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_******************* or contact ***************. For more information about equal employment opportunity protections, please visit ********************************* Travel Required: Occasional Shift: Day Duration: No End Date Job Function: Manufacturing

**What does Clinical Affairs contribute to Cardinal Health** The Clinical Affairs function manages the clinical education, medical writing and communications, research, health care economics and patient safety while ensuring compliance with applicable regulatory and governing requirements for Cardinal Health products and services. Medical Writing is a specialized role that creates clear, accurate, and compliant documents to communicate complex clinical and scientific data. It supports regulatory submissions, clinical research, and scientific communications by interpreting data and producing protocols, reports, regulatory dossiers, presentations, congress abstracts, and peer-reviewed publications, all in alignment with industry and regulatory standards. **Responsibilities:** The Senior Medical Writer will plan and develop high quality clinical documents to support Cardinal Health devices. Primary responsibilities include preparing Clinical Evaluation Reports (CERs), Post Market Plans & Reports (PMS and PMCF) as required by EU regulations. Additional responsibilities include providing input for product development and post-market sustaining core teams. Additional responsibilities may be assigned. The Senior Medical Writer has medical writing and project management experience, a thorough understanding of research methodology and the ability to develop high-quality clinical documents. Extensive knowledge of the European medical device guidelines/regulations such as MEDDEV and MDD/MDR is required, as well as other global requirements for clinical evaluation and PMS/PMCF. The Senior Medical Writer has the ability to lead cross-functional project teams. **Qualifications** + 8-12 years of experience, preferred + Bachelors in life science discipline; master's degree or PhD preferred or equivalent work experience. **Additional skills:** + Proven experience performing literature reviews, analyzing data and communicating outputs. + Ability to provide thorough peer reviews of team members' documents for completeness and correctness of data analysis & regulatory requirements. + Experience working within a medical device or pharmaceutical organization in a Research & Development, Scientific and Medical Affairs, Clinical or Regulatory role. + Experience writing scientific documents for regulatory or journal submissions + Experience presenting scientific/clinical evidence in a written and oral manner to cross-functional teams. + Demonstrated ability to build positive constructive relationships with cross-functional team members + Demonstrated high level of personal integrity, emotional intelligence, flexibility + Extensive knowledge of MDD, MDR and MEDDEV requirements, along with other applicable global requirements for clinical evaluation and PMS/PMCF + Experience creating and performing literature searches in Embase, PubMed and Google Scholar + Excellent working knowledge of Microsoft Word, Excel, PowerPoint. + Proficient in using EndNote or other reference manager software + Strong data extraction and analysis skills + Proactive with a sense of urgency in managing job responsibilities + Recommends new practices, processes, metrics or models **What is expected of you and others at this level** + Applies advanced knowledge and an understanding of concepts, principles and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions that may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range** : $123,400 - $149,855 **Bonus eligible** : Yes **Benefits** : Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs Application window anticipated to close: 2/6/2026*if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-MP1 \#LI-remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Diasorin is a global leader in diagnostic solutions, pushing the boundaries of science and technology to create cutting-edge tools that improve healthcare worldwide. With a legacy spanning over 50 years, we've earned our reputation for excellence by developing innovative diagnostic assays and instruments that are trusted by healthcare providers around the world. Our broad offering of diagnostic tests and Licensed Technology solutions, made available thanks to ongoing investments in research, positions us as the player with the widest range of specialty solutions in the sector and identifies us as the "Diagnostics Specialist." Why Join Diasorin? Impactful Work: When you join Diasorin, you become part of a team that's dedicated to improving lives. Your contributions will directly impact patient care, making a meaningful difference in the world. Global Reach & Innovation: Our work transcends borders. Joining Diasorin means collaborating with colleagues from all over the world, expanding your horizons, and contributing to global healthcare solutions at the forefront of the diagnostic industry. Diverse and Inclusive Culture: We believe in the strength of diversity, and our inclusive culture reflects this commitment. We value your unique perspective and offer a supportive, collaborative environment where everyone can thrive. Join Our Team: If you're passionate about innovation, diversity, and making a positive impact on healthcare, Diasorin is the place for you. We're looking for passionate and talented individuals who are ready to embrace new challenges and drive healthcare solutions forward. Are you ready to be part of a dynamic team that's shaping the future of diagnostics? Join Diasorin and become a catalyst for change in the world of healthcare. Apply today and be a part of our exciting journey toward a healthier, more connected world. Together, we can make an impact! Job Scope DiaSorin is seeking a talented Scientist with expertise in polymer and materials chemistry to join our dynamic Innovation team. This role focuses on the design, synthesis, and characterization of polymeric materials, including polystyrene microspheres, polymeric coatings, and nanoparticle-based composites, using techniques such as emulsion polymerization, wet chemical synthesis, and thin-film deposition. The successful candidate will independently lead experiments, collaborate with senior scientists and directors, and contribute to innovative instrumentation projects that advance our cutting-edge technologies. The ideal candidate is a critical thinker, thrives in a collaborative environment, and upholds the highest standards of laboratory safety and quality. Key Duties and Responsibilities Synthesize and characterize polymeric microspheres and nanoparticles for diagnostic assays, using techniques like emulsion polymerization, surface modification, and surface conjugation. Perform thin-film deposition using techniques like sputtering, evaporation, or chemical vapor deposition to create uniform, high-quality coatings. Collaborate with external partners to evaluate reagents, including surface modifications, and provide technical support to customers for assay-related processes Develop manufacturing instructions and quality control methods for new products during product transfer phases. Test and validate new Luminex instrumentation and software for particle-based assay platforms, ensuring performance and reliability. Work with senior scientists and cross-functional teams to advance assay and platform development, seeking guidance as needed. Present technical information in formal settings. Stay updated on advancements in polymer chemistry, particle science, and assay technologies, contributing to scientific reports and potential publications. Adhere to laboratory safety regulations and standard operating procedures (SOPs), maintaining Source and select raw materials and supplies. Troubleshoot assay performance issues and customer complaints. Generate ideas leading to new or improved products and internal processes. Serve as a source of knowledge inside and outside of your team in an area of expertise. Education, Experience and Qualifications Bachelor's Degree in Biology, Chemistry, Biochemistry, Chemical Engineering or related discipline. required or Master's Degree in Biology, Chemistry, Biochemistry, Chemical Engineering or related discipline. preferred Ph.D. in Biology, Chemistry, Biochemistry, Chemical Engineering or related discipline. preferred 5+ Years experience working in an academic, government or industrial life sciences laboratory setting OR advanced degree required Experience working in the medical device/diagnostics industry required Training and Skills MS Word, Excel and PowerPoint skills (High proficiency) Strong communication skills, both oral and written, with the ability to present technical results clearly to diverse audiences. (High proficiency) Strong critical thinker who excels at analyzing information, solving complex problems, and driving innovation in a collaborative environment. (High proficiency) Familiarity with particle synthesis and characterization (e.g., microspheres, nanoparticles) using techniques like emulsion polymerization, DLS, SEM, or spectroscopy. (Medium proficiency) Hands-on experience with laboratory instrumentation and troubleshooting (Medium proficiency) Standard Physical Demands Fine motor skills required to manipulate scientific samples and equipment. Frequently Standard Working Conditions Work with toxic or hazardous chemicals for up to several hours per day - Frequently Work with human sourced or biohazardous materials for the majority of the workday - Frequently PPE clothing will need to be worn when entering the lab (chemical resistant clothing/gloves, safety glasses, lab coat, and surgical gloves). - Frequently Work beyond 40 hours/week - Frequently Travel Requirements 10% What we offer Receive a competitive salary and benefits package as you grow your career at DiaSorin. Join our team and discover how your work can impact the lives of people all over the world. Diasorin is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and Canada and to complete the required employment eligibility verification document form upon hire. Diasorin is committed to providing reasonable accommodations for qualified individuals with disabilities. If you are a US or Canada candidate and require assistance or accommodation during the application process, please contact the North America Talent Acquisition Team at ********************* or ************** to request an accommodation. The above job description is intended to describe the general content, identify the essential functions, and set forth the requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Diasorin reserves the right to modify or amend this job posting as needed to comply with local laws and regulations. Please note that offers of employment at Diasorin may be contingent upon successful completion of a pre-employment background check and drug screen, subject to applicable laws and regulations. This position is not eligible for partnership with a third-party search firm vendor without expressed, written consent from the Diasorin Human Resources Department.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Biocompatibility team plays a critical role in supporting the manufacture of Neuralink devices by ensuring product safety, quality, and regulatory compliance. We specialize in a range of essential processes, including toxicological risk assessments, batch release testing, chemical characterization, general analytical testing (such as mass spectrometry, chromatography, pH/conductivity, and general chemistry), microbiological testing (bioburden, environmental monitoring, and more), material analysis, clinical chemistry, and in-vitro biocompatibility assays. Job Description and Responsibilities: As a Biocompatibility Scientist, you will drive the development of in-vitro biocompatibility methods to advance the safety of our brain-computer interface technologies. This role offers the opportunity to own key processes in a collaborative, fast-paced environment focused on innovative medical devices, while ensuring alignment with regulatory standards like ISO 10993 and OECD guidance. The Biocompatibility Scientist will: Assist with the setup of necessary laboratory equipment, including calibration and qualification, if needed Lead the development, validation, and ongoing sustainment of in-vitro biocompatibility assays, ensuring reproducibility, appropriate endpoints, and compliance with international guidance Support general laboratory operations, including equipment management, calibration, and routine maintenance tasks to maintain a safe and efficient workspace Collaborate with engineering teams to provide expert consultation on the selection of materials and chemical agents used in manufacturing processes Prepare toxicological risk assessment reports, biological safety evaluations, and contribute to FDA and international regulatory submissions Own toxicological risk assessment (TRA), including developing and documenting standard operating procedures (SOPs) that outline the TRA process and utilizing risk assessment tools such as the QSAR toolbox, read-across methodologies, and other risk assessment resources Conduct hazard identification, literature reviews, and dose-response assessments to support TRA Interpret chemical characterization data in accordance with ISO 10993 standards and integrate findings into comprehensive biocompatibility assessments for medical devices Required Qualifications: B.S. in molecular biology, toxicology, pharmacology, biochemistry, or a related field Strong background in cell biology, molecular biology, and/or toxicology >1 year of experience with in-vitro method development (including academic or research experience) Proficiency with confocal microscopy Excellent analytical, problem-solving, and communication skills, with the ability to collaborate across interdisciplinary teams Ability to conduct thorough literature searches Preferred Qualifications: M.S. or PhD in toxicology, pharmacology, biochemistry, or a related field Strong knowledge of ISO 10993 standards and experience with chemical characterization and biocompatibility evaluations Familiarity with in-vivo models >3 years of experience in toxicological risk assessment, preferably in the medical device industry or pharmaceutical industry Certification as a Diplomate of the American Board of Toxicology (DABT) or similar professional credential Familiarity with FDA and international regulatory submissions Expected Compensation: The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees. Base Salary Range: $71,000 - $119,000 USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

We are seeking a highly skilled and innovative Senior Scientist to lead the development of next-generation molecular diagnostic assays with a focus on rapid PCR technologies and sample preparation workflows. The successful candidate will drive new assay designs from concepts through feasibility, ensuring scientific rigor, data quality, and regulatory-grade documentation. This role requires deep technical expertise in molecular biology, strong data analysis and interpretation skills, and the ability to design experiments that accelerate product development timelines. The individual will work as part of Nuclein's Assay Research team, reporting to Nuclein`s Chief Scientist. Essential Duties and Responsibilities. · Work independently on Nuclein`s assay and chemistry research efforts for the company's menu test pipeline · Design, develop, and optimize rapid/fast-cycle PCR and qPCR assays for DNA and RNA targets. · Lead feasibility and development studies to evaluate assay performance (LOD, linearity, specificity, robustness). · Innovate sample preparation and extraction workflows compatible with automated or integrated molecular platforms. · Develop statistically sound study designs and analyze large datasets using tools such as JMP, Excel, R, or Python. · Perform kinetic and efficiency analyses, baseline correction, and melt curve interpretation for assay optimization. · Interpret experimental results, troubleshoot issues, and propose data-driven solutions. · Prepare detailed technical reports, development summaries, and design control documentation (per ISO 13485 or FDA guidelines). · Design and execute experiments and test protocols to demonstrate proof-of-concept and feasibility for new assay oligo designs/formulations/new chemistries. · Work closely with the company's Development group, providing integration support for new, and existing assays · Able to analyze and document experimental data/results; write detailed project plans and feasibility reports · Investigate field and customer complaints/issues for on-market Nuclein assays Education, Qualifications, and/or Experience. · Ph.D. in a relevant scientific discipline, such as molecular biology, chemistry or a related field or equivalent years of education and experience combined, minimum of 7 years industrial experience. · Expertise in quantitative PCR optimization, nucleic acid extraction from biological specimens, or microbiological culture preferred. · Experience with microfluidic or cartridge-based molecular systems. · Background in qPCR data processing, automation scripting, or DOE (Design of Experiments). · Proficient with statistical analysis methods applicable to molecular assay development. · Strong analytical and problem-solving skills, with the ability to interpret complex data sets and draw meaningful conclusions. · Excellent communication skills, both written and verbal, with the ability to effectively present scientific findings to internal and external stakeholders. · Collaborative mindset with the ability to work effectively within multidisciplinary teams. Physical Requirements. · Repetitive Motion: Use of laboratory equipment and computer use · Weightlifting: Up to 50 lbs. · Position: Sitting and standing · Use of PPE may be required in laboratory areas THIS POSITION IS 100% ONSITE IN AUSTIN, TX. CANDIDATES MUST CURRENTLY LIVE WITHIN COMMUTING DISTANCE TO BE CONSIDERED. NO SPONSORSHIP IS BEING OFFERED AT THIS TIME. View all jobs at this company

At Weston Solutions, Inc. you will do meaningful work and make valuable contributions. Employee-ownership at Weston is a path to professional growth and access to diverse opportunities in a highly connected community that works together across key service areas to make a difference in the environment. Weston continues to evolve and adapt to our changing world as a premier provider of environmental and infrastructure services for over sixty years. In both the public and private sectors our teams help identify, solve, mitigate, and manage critical environmental issues to help clients achieve a more sustainable future. In the EHS Principal Scientist/Manager, role you'll lead high-impact environmental, health, and safety (EHS) programs that help clients solve complex challenges and achieve their goals. You'll guide multidisciplinary teams, manage large-scale projects, and build trusted relationships with clients across industries. Whether you're designing innovative EHS solutions, mentoring future leaders, or driving business growth, your expertise will shape strategy, ensure quality, and deliver meaningful results. This role blends technical leadership, client engagement, and program management-perfect for someone who thrives in dynamic environments and enjoys making a lasting impact. Location: Bay Area, CA; Dallas or Austin, TX; Remote Expected Outcomes: * Independently solve routine and complex EHS challenges using sound judgment and data-driven analysis, and creative problem-solving. * Lead and manage large-scale, multidisciplinary EHS consulting programs for federal, municipal, or industrial clients, ensuring delivery meets scope, schedule, budget, and quality standards. * Manage all phases of program execution, including staffing, budgeting, subcontractor coordination, and reporting, to ensure successful project execution. * Serve as a senior technical expert and strategic advisor, overseeing the design, development, and implementation of EHS solutions tailored to client needs. * Serve as a primary client contact, delivering strategic guidance, technical expertise, and high-impact presentations. and high-quality deliverables * Maintain strong client relationships and uphold Weston's standards for quality, service, and stewardship. * Support business development through client engagement, proposal development, consultative sales efforts, and identifying new opportunities. * Conduct comprehensive complex audits, assessments, and program reviews across health, safety, and environmental domains. * Prepare and review high-quality deliverables including technical reports, proposals, and program documentation in accordance with internal quality standards. * May serve as a qualified reviewer and expert witness in area of specialization. * Mentor and supervise project managers and technical staff; participate in hiring, performance management, and team development. * Actively participate in professional organizations and stay current with industry trends and best practices. * May lead the growth of a satellite office, service line, or regional practice area. * Travel, use of PPE, and work in physically demanding or hazardous environments may be required. Knowledge, Skills & Abilities: * Bachelor's degree in science or engineering; typically requires 17+ years of relevant EHS experience, or 15+ years with a master's, or 13+ years with a PhD. * Recognized expertise in one or more EHS disciplines, with a strong internal and external reputation. * Extensive knowledge of EHS regulations, permitting, and compliance (OSHA, EPA, ISO), with hands-on experience in industrial hygiene, safety engineering, ergonomics, and emergency response. * Proven ability to lead large, complex programs and cross-functional teams, managing multi-million-dollar budgets and competing priorities. * Skilled in environmental sampling, data analysis, audits, technical reporting, and compliance assessments. * Experience developing and implementing EHS programs aligned with client business objectives and integrating with broader business operations. * Strong consulting and client stewardship skills, with the ability to influence decisions, deliver strategic value, and support business growth. * Demonstrated success in proposal development, pricing strategy, and consultative sales processes. * Effective in mentoring and managing staff, including hiring, performance evaluation, and career development. * Excellent written and verbal communication skills; confident in public speaking, technical training, and high-stakes client presentations. * Proficient in ergonomic evaluations across diverse environments and in Microsoft Office and relevant technical tools. * Strategic thinker with strong time management, delegation, and problem-solving abilities. * Must be a Qualified Reviewer in at least two subject areas. We fully invest in our people: Weston provides a generous, comprehensive benefits package program that offers employees high value options with solid financial protection, meeting the personal needs of its people and their families. * Medical, Dental, Vision, 401K with base and matching employer stock contributions. * Paid time off including personal, holiday, and parental leave. * Life and disability plans. * Critical illness and accident plans. * Work/Life flexibility. * Professional development opportunities. Compensation will vary based upon experience, education, skill level, and other compensable factors.

About Us: web AI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI. About the Role: The AI Research Scientist will contribute to web AI's development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact. This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. Responsibilities: Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures Conduct research on model efficiency, quantization, compression, and on-device deployment Prototype novel model architectures, training methods, and inference strategies for distributed AI Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance Collaborate with engineering teams to integrate research findings into production systems Stay current on leading research in deep learning, generative AI, and distributed ML Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders Document research findings, contribute to internal papers, and present technical work across the organization Identify emerging technologies and propose research directions aligned with web AI's strategic priorities Qualifications: 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models Hands-on experience training and fine-tuning large-scale models Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX Experience building datasets, designing experiments, and validating ML model performance Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training Strong problem-solving skills and ability to work independently on complex research tasks Effective communication skills for presenting research findings to diverse audiences Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Preferred Skills Master's or PhD in Machine Learning, Computer Science, AI, or a related field Experience with distributed training, edge inference, or on-device ML Research experience in generative AI, reinforcement learning, or multimodal learning Familiarity with privacy-preserving ML techniques such as federated learning Experience contributing to academic publications, patents, or open-source ML projects Comfort operating in a fast-paced, high-growth startup environment We at web AI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: Truth - Emphasizing transparency and honesty in every interaction and decision. Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: Competitive salary and performance-based incentives. Comprehensive health, dental, and vision benefits package. 401k Match (US-based only) $200/mos Health and Wellness Stipend $400/year Continuing Education Credit $500/year Function Health subscription (US-based only) Free parking, for in-office employees Unlimited Approved PTO Parental Leave for Eligible Employees Supplemental Life Insurance web AI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of web AI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

About Us: web AI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI. About the Role: The AI Research Scientist will contribute to web AI's development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact. This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. Responsibilities: * Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures * Conduct research on model efficiency, quantization, compression, and on-device deployment * Prototype novel model architectures, training methods, and inference strategies for distributed AI * Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance * Collaborate with engineering teams to integrate research findings into production systems * Stay current on leading research in deep learning, generative AI, and distributed ML * Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders * Document research findings, contribute to internal papers, and present technical work across the organization * Identify emerging technologies and propose research directions aligned with web AI's strategic priorities Qualifications: * 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields * Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models * Hands-on experience training and fine-tuning large-scale models * Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX * Experience building datasets, designing experiments, and validating ML model performance * Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training * Strong problem-solving skills and ability to work independently on complex research tasks * Effective communication skills for presenting research findings to diverse audiences * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Preferred Skills * Master's or PhD in Machine Learning, Computer Science, AI, or a related field * Experience with distributed training, edge inference, or on-device ML * Research experience in generative AI, reinforcement learning, or multimodal learning * Familiarity with privacy-preserving ML techniques such as federated learning * Experience contributing to academic publications, patents, or open-source ML projects * Comfort operating in a fast-paced, high-growth startup environment We at web AI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: * Truth - Emphasizing transparency and honesty in every interaction and decision. * Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients. * Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. * Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: * Competitive salary and performance-based incentives. * Comprehensive health, dental, and vision benefits package. * 401k Match (US-based only) * $200/mos Health and Wellness Stipend * $400/year Continuing Education Credit * $500/year Function Health subscription (US-based only) * Free parking, for in-office employees * Unlimited Approved PTO * Parental Leave for Eligible Employees * Supplemental Life Insurance web AI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of web AI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

Job Posting Title: Research Scientist Associate III ---- Hiring Department: Bureau of Economic Geology ---- All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue Until Dec 31, 2027 ---- Location: PICKLE RESEARCH CAMPUS ---- Job Details: General Notes This is a fixed-term position that goes through December of 2027. This position is located at the J.J. Pickle Research Campus in North Austin. Purpose Position will assist in mineral resource assessment and characterization studies, especially aggregate and industrial mineral mapping initiatives. The position will assist with the Mineral Resource Program tasks utilizing GIS, Satellite imagery and database development for generating geologic maps. Responsibilities Assist in mineral resource assessment, characterization and mapping efforts. 50% Assist with the Mineral Resource Program tasks utilizing GIS, Satellite imagery and database development. 25% Drafting and producing geologic maps, reports, and data associated with mineral resource projects. 25% Required Qualifications MS in Geology or related discipline w/ at least 2 years related experience or BS in Geology or related discipline and at least 4 years related experience. GIS skills, familiar with mineral resources, geologic mapping experience. Relevant education and experience may be substituted as appropriate. Preferred Qualifications knowledge of Texas geology, air- and space-borne satellite imagery analysis used in geologic mapping, mineral resource characterization and assessment experience, aggregates, urban planning practices. Salary Range $65,000 + depending on qualifications Working Conditions Uniforms and/or personal protection equipment (furnished) May work in all weather conditions May work in extreme temperatures May work around chemical fumes May work around standard office conditions May work around chemicals Repetitive use of a keyboard at a workstation Use of manual dexterity Climbing of stairs Climbing of ladders Lifting and moving Occasional weekend, overtime, and evening work to meet deadlines Occasional travel intrastate, interstate, international Occasional fieldwork as necessary Required Materials Resume/CV 3 work references with their contact information Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. Your Impact * Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. * Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. * Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. * Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. * Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. Minimum Qualifications: * PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. * Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. * Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. * Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. * Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. * Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. * Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. * Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Biocompatibility team plays a critical role in supporting the manufacture of Neuralink devices by ensuring product safety, quality, and regulatory compliance. We specialize in a range of essential processes, including toxicological risk assessments, batch release testing, chemical characterization, general analytical testing (such as mass spectrometry, chromatography, pH/conductivity, and general chemistry), microbiological testing (bioburden, environmental monitoring, and more), material analysis, clinical chemistry, and in-vitro biocompatibility assays. Job Description and Responsibilities: As a Toxicologist, you will lead toxicological risk assessments and biocompatibility evaluations to advance the safety of our brain-computer interface technologies. This role offers the opportunity to own key processes in a collaborative, fast-paced environment focused on innovative medical devices, while ensuring alignment with regulatory standards like ISO 10993 and FDA guidelines.The Toxicologist will: Prepare toxicological risk assessment reports, biological safety evaluations, and contribute to FDA and international regulatory submissions Own toxicological risk assessment (TRA), including developing and documenting standard operating procedures (SOPs) that outline the TRA process and utilizing risk assessment tools such as the QSAR toolbox, read-across methodologies, and other risk assessment resources Conduct hazard identification, literature reviews, and dose-response assessments to support TRA Interpret chemical characterization data in accordance with ISO 10993 standards and integrate findings into comprehensive biocompatibility assessments for medical devices Collaborate with engineering teams to provide expert consultation on the selection of materials and chemical agents used in manufacturing processes Lead the development, validation, and ongoing sustainment of in-vitro biocompatibility assays, ensuring reproducibility, appropriate endpoints, and compliance with international guidance Support general laboratory operations, including equipment management, calibration, and routine maintenance tasks to maintain a safe and efficient workspace Required Qualifications: B.S. in toxicology, pharmacology, biochemistry, or a related field >1 year of experience in toxicological risk assessment, preferably in the medical device or pharmaceutical industries Proficiency in risk assessment methodologies and tools, such as QSAR modeling and read-across Excellent analytical, problem-solving, and communication skills, with the ability to collaborate across interdisciplinary teams Ability to conduct thorough literature searches Preferred Qualifications: M.S. or PhD in toxicology, pharmacology, biochemistry, or a related field Strong knowledge of ISO 10993 standards and experience with chemical characterization and biocompatibility evaluations Hands-on experience with in-vitro assay development and cell culture techniques >3 years of experience in toxicological risk assessment, preferably in the medical device industry or pharmaceutical industry Certification as a Diplomate of the American Board of Toxicology (DABT) or similar professional credential Familiarity with FDA and international regulatory submissions Expected Compensation: The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees. Base Salary Range: $71,000 - $119,000 USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

At Weston Solutions, Inc. you will do meaningful work and make valuable contributions. Employee-ownership at Weston is a path to professional growth and access to diverse opportunities in a highly connected community that works together across key service areas to make a difference in the environment. Weston continues to evolve and adapt to our changing world as a premier provider of environmental and infrastructure services for over sixty years. In both the public and private sectors our teams help identify, solve, mitigate, and manage critical environmental issues to help clients achieve a more sustainable future. This EHS Senior Project Scientist or Project Manager role leads and contributes to complex Environmental, Health & Safety (EHS) consulting projects, serving as both a technical expert and strategic advisor. Responsibilities include designing and implementing EHS solutions, managing project teams and budgets, mentoring junior staff, and maintaining strong client relationships. The position may operate in a Doer-Seller or Seller-Doer capacity, with involvement in business development, proposal creation, and client stewardship. Success in this role requires deep technical knowledge, leadership skills, and the ability to deliver high-quality, customized solutions that align with client business objectives. Location: Bay Area, CA; Dallas, TX Expected Outcomes: * Independently solve routine and complex EHS challenges using sound judgment and data-driven analysis, and creative problem-solving. * Lead and manage complex EHS consulting projects, ensuring high-quality, on-time, and within-budget delivery. * Coordinate resources, manage budgets, and oversee subcontractors and client staff to ensure successful project execution. * Oversee development and implementation of EHS programs aligned with client business objectives and regulatory requirements. * Serve as a primary client contact, delivering strategic guidance, technical expertise, and high-impact presentations. and high-quality deliverables * Mentor and supervise technical staff; participate in hiring, performance management, and team development. * Support business development through client engagement, proposal development, consultative sales efforts, and identifying new opportunities. * Conduct comprehensive audits, assessments, and program reviews across health, safety, and environmental domains. * Maintain strong client relationships and uphold Weston's standards for quality, service, and stewardship. * May serve as a qualified reviewer and expert witness in area of specialization. * Actively participate in professional organizations and stay current with industry trends and best practices. * Travel, use of PPE, and work in physically demanding or hazardous environments may be required. Knowledge, Skills & Abilities: * Bachelor's degree in science or engineering. * 7+ years of relevant EHS experience; advanced degrees may reduce required years. * Deep expertise in EHS regulations, permitting, and compliance (OSHA, EPA, ISO). * Experience in health & safety programs, industrial hygiene, ergonomics, and emergency response. * Proven ability to conduct comprehensive compliance and management system assessments, including identifying noncompliance and applying best practices. * Skilled in environmental sampling, data analysis, audits, and technical reporting. * Experience developing and implementing EHS programs aligned with client business objectives. * Proficient in ergonomic evaluations across office, lab, and industrial settings, including tool and system development. * Demonstrated ability to manage large, complex projects and lead cross-functional teams. * Strong project management skills, including budgeting, resource planning, and performance tracking. * Experience mentoring, supervising, and developing staff; may include hiring and performance management. * Must understand how EHS management systems integrate with broader business operations. * Able to manage multiple priorities, think strategically, and maintain a proactive, solutions-oriented mindset. * Effective time management, prioritization, and delegation skills. * Collaborative team player with emerging leadership capabilities. * Excellent written and verbal communication; confident in client presentations and training delivery. * Business acumen with an understanding of cost impact and client operations. * Ability to identify improvement opportunities, generate new ideas, and contribute to business growth. * Proficient in Microsoft Office and relevant technical tools. We fully invest in our people: Weston provides a generous, comprehensive benefits package program that offers employees high value options with solid financial protection, meeting the personal needs of its people and their families. * Medical, Dental, Vision, 401K with base and matching employer stock contributions. * Paid time off including personal, holiday, and parental leave. * Life and disability plans. * Critical illness and accident plans. * Work/Life flexibility. * Professional development opportunities. Compensation will vary based upon experience, education, skill level, and other compensable factors.