Research analyst jobs in Mountain View, CA

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

We are seeking an experienced Data Analytics Consultant with strong Microsoft Power BI expertise to join our team. In this role, you will help clients transform their data into actionable insights through effective dashboarding, reporting, and analytics solutions. Key Responsibilities: Consult with clients to understand their business requirements and data needs Design, develop, and deploy Power BI reports, dashboards, and visualizations Transform raw data into meaningful insights using DAX, Power Query, and other BI tools Create data models that effectively connect multiple data sources Implement data governance best practices and ensure data quality Provide training and support to client teams on Power BI usage Stay current with Power BI updates and industry best practices Document solutions and knowledge transfer to client teams Qualifications: Required Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field 3+ years of experience with Microsoft Power BI development Strong understanding of data modeling, ETL processes, and dimensional modeling Proficiency with DAX, M language, and Power Query Experience with SQL and database concepts Excellent analytical and problem-solving skills Strong communication and client-facing skills Work Location This position requires onsite presence at client locations and/or our San Francisco office up to 2 days per week. Candidates must reside within a commutable distance of the San Francisco Bay Area. This position is hybrid (partial remote/partial onsite) and is not eligible for full remote work. About Us Amplytico is a specialized consulting firm helping energy companies transform data into business value. We combine advanced analytics with deep energy sector knowledge to uncover insights that empower organizations to pioneer the future of energy services. Learn more at amplytico.com Compensation As required by California law, the base salary range for this position in San Francisco is $90,000 to $135,000. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors. Amplytics is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ***************************

for 6 months Seeking a Data Analyst and Data Visualization Specialist to support the Merchandise Planning and Inventory Management (MPIM) data analytics and reporting team. The ideal candidate should be an excellent storyteller and a strong technical contributor with experience in solving business problems using data-driven tools. The responsibilities include delivering a suite of analytical products such as analyses, dashboards, insights, and recommendations. Collecting, analyzing, and presenting data to enhance strategic decision-making and tracking the benefits of data products are key aspects of the role. A high level of curiosity about the business and the ability to uncover impactful insights from data are essential. Effectively communicating these insights is essential for building confidence and enabling decisions that drive business value. About the Job Conduct analysis on complex retail data, measure and track data created by data products, and convert them into key KPI metrics. Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support. Create dashboards to track the adoption and business impact of launched features and data products. Dive deep into complex business problems, provide insights, and partner with cross-functional teams on implementation. Collaborate with data science, data analytics, and product managers on planning, goal setting, and prioritization. Work with data and engineering teams to improve data quality, data analysis, and business debugging. Bring data to life through storytelling in a clear and meaningful way to audiences with varying levels of technical expertise, informing key strategic decisions. Promote a culture of data-driven technical excellence, ownership, and collaboration. Optimize and standardize reporting through automation About You Over 3 years of professional experience in analyzing complex data, drawing conclusions, and making recommendations. More than 3 years of applied data visualization experience, with proficiency in Looker or PowerBI. At least 3 years of experience in extracting and manipulating large data sets from various relational databases using SQL (experience with Google BigQuery or MSsql). Experience with data integration tools such as Data Fusion, Alteryx, or Dataiku is a plus. Coding skills in at least one statistical or programming language (preferably Python or R) to import, summarize, and analyze data is a plus. Hands-on experience working with big data, such as sales, inventory management, and planning; retail knowledge is an advantage. Ability to translate and present complex analysis in executive summaries, with clear and effective written and verbal communication, and strong interpersonal skills. Strong problem-solving abilities. A Bachelor's degree in Economics, Statistics, Data Science, or Data Engineering (a Master's degree is a plus) or equivalent experience

HCLTech is looking for a highly talented and self- motivated Advanced Data Analyst to join it in advancing the technological world through innovation and creativity. Job Title: Advanced Data Analyst Position Type: Full Time Location: Onsite Role Overview Mandatory skills - My Sql, Python, Tableau and Simulation Tool Experience Strong ability in translating business requirements and needs into analytic solutions, within multiple areas in IT and with various stakeholders, including key leaders and managers. Leverage data to understand in depth IT business processes, identify areas of opportunity for process improvement. Write queries, analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives. E.g., build rich and dynamic dashboards using Tableau. * Develop deep understanding of analytical data models. *Simulation Tools experience is must. Anylogic experience is big plus. * Support project development life cycles through data modeling, reporting and analytics. Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization. Create training materials to guide business users on how to use dashboards. Participate in the creation and support of development standards and best practices. Explore and recommend emerging technologies and techniques to support/enhance BI landscape components. * Automate solutions where appropriate. Skills * At least 4-6 years of business intelligence and data warehouse experience. * At least 2-year experience with ANSI SQL/ Presto / Hive/ MySQL. * At least 1 year of experience with Tableau. * Prefer a candidate with scripting experience (Python/R/Javascript/PHP/ Perl/Ruby/etc.) * Prefer a candidate with experience building and maintaining pipelines * Knowledge of ETL processes and designs. Pay and Benefits Pay Range Minimum: $59,000 per year Pay Range Maximum: $109,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. At least 4 years of experience in Information Technology Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data Strong experience using Python, Advanced SQL and PySpark Preferred Qualifications: Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns) Knowledge of Machine Learning techniques The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. EEO/About Us : About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Please review the below sections, especially the "how to apply" section, to complete your application and be considered for this position! Title: Air Quality Data Analyst Salary: $36/hr-$45/hour-salary commensurate with experience Job Type: Part-time, Temporary Benefits: Sick leave accrual Duration of Appointment: Est. 2 months from start date Location/Schedule: Hybrid, with potential for remote. For remote consideration, the individual must be California-based and able to be on site for their first day; Estimate 10 hours/week About the Position: This role is a part-time, temporary position (10 hours/week) that will help assist with our air quality data work in the areas identified below. Air Quality Data Work with the Program Manager to provide support in bridging the technical components of our air quality data work and helping to translate that information for the general public and community members, including into written materials, presentations, and reports Evolve Brightline's air quality program to the next generation and help prepare for us for the next level of grantmaking. Review and assess our current air quality data and network to identify opportunities for expansion or new directions, as well as any gaps, and communicate those findings to the team. This includes researching other air quality data programs and materials and providing written recommendations/report. Collaborate with Brightline staff, partners and volunteers who are working on analyzing our air quality data. Participate in meetings related to our air quality work, including with vendors and other key partners. Drafts, reviews and analyzes air quality data and other documents; conducts inquiries, compiles and researches information. Additional program support as needed-could include supporting site visits, off site community meetings, air quality sensor network maintenance, etc. General Support: Provide grant support including with any progress report deliverables, looking for documentation, helping to track deadlines, follow up with partners, etc. Assist Brightline team members with other projects as needed Required Qualifications, Skills, and Abilities: 3-5 years of related experience, including some direct work with environmental mapping Experience with utilizing ArcGIS Experience with R, modeling or other coding languages Familiarity utilizing Google Suite, Canva (or other design software) Strong interpersonal, written and oral communication skills Ability to work with data and identify trends and areas where further data points or analysis are needed Ability to translate and bridge the technical components of the data analysis and findings to those not in the field, including individuals in the community Ability to collaborate with multiple stakeholders and take and incorporate feedback/input Outstanding relationship-building skills, as well as ability to adapt communication style Must demonstrate strong organizational skills, ability to adapt and must be detail oriented. Desire to learn more about Brightline's work Passion for working in environmental justice Desire to work with diverse communities and neighborhoods in San Francisco Preferred Skills & Qualifications Masters or PhD in related field Experience with Tableau or other data visualization software Experience with website coding Spanish, Cantonese, or Arabic language skills Experience working with community-based organizations and or low-income communities How to Apply Please email a short cover letter, resume, and three references (preferably direct supervisors and include e-mail and a phone number for each) to ************************** with the subject line “Air Quality Data Analyst Application - [Your Name].” Applications will be reviewed on a rolling basis, with first round of interviews occurring the week of December 1, 2025, until the position is filled.

1: Veeva RIM BA ( Documentation Specialist ) Foster City, CA - hybrid 12 plus months Look for candidates from West coast only Pharma/ Biotech/ Life Sciences/ Medical Device/ Healthcare or Manufacturing experience is a must Look for Veeva Business Analyst with Registration and Documentation experience. 8-10 Year candidate required Job Description Person should understand how data is set up in registration module and how it will interact with SAP systems. BA Registration Our company is seeking an experienced Business Analyst with expertise in Veeva RIM Registrations and Integrations with SAP to join our team The successful candidate will be responsible for analyzing business requirements, designing solutions, and implementing changes to streamline our Veeva RIM Registration process and SAP integrations Responsibilities: Analyze business requirements related to Veeva RIM Registrations and SAP integrations, and identify gaps in existing processes Design solutions and provide recommendations for process improvements related to Veeva RIM Registrations and SAP integrations Implement changes to streamline the Veeva RIM Registration process and SAP integrations Collaborate with cross-functional teams to develop and implement Veeva RIM Registration and SAP integration projects Provide support and guidance to end-users in the Veeva RIM Registration process and SAP integrations Identify and mitigate risks related to Veeva RIM Registration and SAP integration projects Document business processes, requirements, and system configurations related to Veeva RIM Registrations and SAP integrations Requirements: Bachelor's degree in business administration, Information Technology, or related field 3+ years of experience as a Business Analyst, with a focus on Veeva RIM Registrations and Integrations with SAP Strong understanding of the Veeva RIM Registration process and experience working with Veeva Vault RIM 2: Business Analyst - Active Dossiers (RIM), Validation, RIM, Regulatory Location: Hybrid at Foster City, CA Techno Functional candidate needed with some Pharma/Pharma manufacturing industry exp.. preferred Overall 5 year profile needed Looking for junior to mid-level profile but should have strong communication Role Overview The Business Analyst will support Regulatory Information Management (RIM) processes with a primary focus on Active Dossiers and the Submission Management module. The role is responsible for gathering requirements, analyzing end-to-end regulatory workflows, supporting submission lifecycle tracking, and helping ensure accurate, audit-ready data within the RIM platform. This position partners closely with Regulatory Affairs, Publishing, Labelling, Quality, and IT teams to enable compliance, visibility, and timely submissions across global markets. Key Responsibilities Collaborate with Regulatory Affairs stakeholders to gather, document, and validate business requirements for Active Dossier and Submission module enhancements. Understand end-to-end regulatory submission lifecycle (planning, authoring, compilation, publishing, dispatch, health authority interactions, archival). Support dossier tracking, metadata management, and controlled vocabularies within the RIM repository. Analyze dossier data structures, registration records, and submission status to ensure accuracy, completeness, and compliance. Define functional requirements, user stories, acceptance criteria, and test scenarios. Monitor submission timelines, correspondence, commitments, and regulatory obligations using RIM dashboards. Facilitate data remediation efforts to improve dossier lineage, submission sequences, and health authority metadata. Required Skills & Experience 3-5 years of experience as a Business Analyst in Regulatory Affairs, Regulatory, or Life Sciences systems. Hands-on exposure to RIM platforms (AgilePV, Veeva RIM, ArisGlobal RIMS, Ennov, etc.) or equivalent regulatory systems. Experience working with submission dossiers (eCTD/CTD), sequences, and lifecycle management. Understanding of EMA, FDA, and ICH regulatory submission requirements. Strong ability to translate regulatory processes into system requirements and workflows. Experience writing user stories, functional specifications, test cases, and validation evidence. Familiarity with controlled vocabularies (SPOR, XEVMPD, IDMP preferred). Excellent communication and stakeholder-facing skills. Nice-to-Have Prior system implementation, migration, or integration experience (RIM to EDMS, Publishing tools). Knowledge of Registration Tracking, HA correspondence, and commitment tracking. Ability to analyze structured data and metadata quality. Basic understanding of IDMP data models is a plus. Requirements/user story documentation Process flows and data mapping Dossier metadata remediation reports End-user training assets and knowledge articles

Team Introduction: TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Responsibilities: * Define success metrics to measure product growth and identify problems through monitoring or forecasting * Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations * Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis * Partner with Product, Engineering and cross-functional teams to influence and execute product strategy Minimum Qualifications: * Currently pursuing a Bachelor's, or Master's degree in Mathematics, Statistics, Economics, Computer Science, Data Science etc relevant technical field, or equivalent practical experience * Proficient in data querying languages and at least one scripting language (e.g. Python,R) * Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods. * Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well * Must be able to commit to a 12-week full-time work period during Summer 2026 Preferred Qualifications: * Internship experience in data science By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies. As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities: - Analyzing search ranking and relevance requirements, issues and opportunities - Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple's AI powered products - Conducting applied research to transfer the pioneering research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks - Building machine learned models for search relevance, ranking and query understanding problems - Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. - Building end-to-end production system including query understanding and ranking to power search - Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing Excellent data analytical skills Good interpersonal skills and team player PhD preferred PhD, MS or equivalent experience Experience in machine learning, deep learning, information retrieval, natural language processing or data mining Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C++

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. **Your Impact** As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco. **Minimum Qualifications** + Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field. + Strong understanding of machine learning, deep learning, and natural language processing concepts, validated through academic, project, or professional work. + Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers), evidenced through academic, project, or professional work. **Preferred Qualifications** + Familiarity with agentic AI concepts, agent frameworks, and related applications. + Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools. + Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization. + Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models. ProductIntern26 **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:** 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: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * 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.

Parnassus Investments is the largest pure-play responsible investment mutual fund company in the United States. Based in San Francisco, we are growing assets-under-management in an expanding industry. We seek to build wealth responsibly for long-term investors by investing in businesses with increasingly relevant products or services, sustainable competitive advantages, quality management teams and ethical business practices. We incorporate rigorous environmental, social and governance (ESG) criteria into our investment process. Morningstar named Parnassus a top fund company to partner within the decade ahead. Our team members are typically long-tenured, sharing in a professional, vibrant culture that emphasizes principles, teamwork, and continuous learning. Job Description Overview The ESG Research Analyst will be responsible for conducting ESG research on sectors, industries and individual companies. The ESG Research Analyst's responsibilities will also include engaging company holdings on ESG initiatives. The successful candidate has strong research, analytical, and communication skills and works comfortably in groups and independently. Key Responsibilities Research · Utilize the Parnassus ESG research process to prepare recommendations · Perform annual reviews of holdings · Prepare and present summaries on material ESG controversies Engagement · Engage with current and prospective holdings on ESG-related topics · Generate and execute engagements through the Parnassus impact engagement process Client Servicing · Assist with client inquiries · Assist in creating and editing marketing materials Qualifications Qualifications · Minimum two years of ESG investing or stewardship experience · Excellent research, analytical, written and public speaking skills · Ability to work closely with team members and individually to efficiently meet deadlines · Familiar with MSCI ESG Manager, Sustainalytics and proficient with Microsoft Office · Series 6 and Series 65 licenses (or be willing to obtain within six months of hire) · Bachelor's degree required Additional Information Being Part of the Parnassus Team Includes: · Competitive compensation commensurate with experience and skills · An annual bonus potential based on company and individual performance · 100% coverage of medical, dental and vision premiums for you and your family with no waiting period · 2:1 charitable contribution matching to non-profit organizations · The opportunity to collaborate with intellectually robust coworkers · We are currently working remotely, but post-pandemic we expect to be back in our office in San Francisco's Financial District near BART, Muni, ferries and cable cars. We also provide a generous commuter subsidy. All your information will be kept confidential according to EEO guidelines. Parnassus Investments is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, citizenship, disability, veteran status, gender identity, sexual orientation, genetic information or any other characteristic protected by federal, state or local law. We comply with the San Francisco Fair Chance Ordinance and will consider all applicants in accordance with this Ordinance. Please see the Careers page of our website to view the privacy notice to job applicants to comply with the California Consumer Privacy Act (CCPA).

Are you an inquisitive, creative, passionate, data-driven researcher with an interest in economics and public policy? The Hoover Institution at Stanford University is seeking a full-time Research Analyst for a two-year fixed-term. (One year, renewable) on The Hoover Institution is a preeminent center of public policy research located at Stanford University. Its fellows are focused on scholarship grounded in the ideals of peace, individual liberty, free enterprise, and limited government. We invite you to join us to help improve federal fiscal policymaking. The Fiscal Policy Initiative, led by a Senior Fellow, provides credible, actionable analysis to inform lawmakers and the public. Our primary topic areas include tax policy, entitlement reform, budget process reform, the macroeconomic risk of rising federal borrowing. To ensure your application information is captured in our official files for immediate access to your resume and cover letter, you must apply to *********************************** and in the key word search box, indicate Requisition #107788 Please submit a cover letter and resume for full consideration WORKING TITLE:Research Analyst for the Fiscal Polley InitiativeJOB TITLE:Research Data Analyst 1JOB CODE:4751GRADE:GEXEMPTION:ExemptSALARY RANGE:$80,148 - $99,773TERM:Fixed Term: One year, renewable WORK ARRANGEMENT:Remote JOB PURPOSE: The Fiscal Policy Initiative at the Hoover Institution at Stanford University seeks a Research Analyst to conduct policy-oriented academic research focusing on fiscal policy. The position requires substantial independent work gathering data, building and cleaning datasets, conducting econometric analysis, writing literature reviews, and drafting research results. The position requires the ability to quickly develop new skills in a fast-paced research environment. The successful candidate for this role will be able to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. They will also need to present findings in organized, professional documents. The ability to multitask and appropriately prioritize different projects is essential. This position is intended to assist a predoctoral researcher with gaining skill and experience ahead of their application to PhD programs. To apply, please submit: * A resume or curriculum vitae * A cover letter * A writing sample (a previous research paper or public essay is sufficient) CORE DUTIES:* * Collect data from a variety of sources, including proprietary, surveys, and government records * Manage and clean datasets * Generate research insights using new and existing tools to interpret, analyze, and visualize multivariate relationships and trends in data * Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements * Use system reports and analyses to identify potentially problematic data, make corrections, and suggest solutions * Conduct literature reviews and develop written summaries and reports * Prepare charts, graphs and tables for use by senior researchers and fellows, and for publication and presentation * Analyze data processes in documentation * Collaborate with faculty and research staff on data collection and analysis methods * Provide documentation based on audit and reporting criteria to investigators and research staff * Communicate with government officials, agencies, and industry representatives * The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree in economics, finance, statistics, public policy, engineering, or a related field, or a combination of education and relevant experience in a quantitative discipline. Relevant experience may include: Research assistance for a professor of economics, finance, or statistics; analyst position or substantive internship in economic or financial consulting; analyst position or substantive internship in a government agency such as a central bank, tax authority or treasury/finance department. Required Knowledge, Skills and Abilities: * Substantial experience with MS Office * Strong writing and analytical skills * Ability to prioritize tasks effectively and communicate updates to research leaders Desired/Preferred Knowledge, Skills and Abilities: * Effective communication skills and comfort working with prominent individuals. * An understanding of domestic and international economic policy - particularly in the research areas mentioned earlier - and the effects of these policies on economic activity * Experience with various forms of quantitative analysis * Experience with creating and cleaning databases * Experience with Stata and R * Programming proficiency and experience in other programming languages such as Matlab, Python, SAS, or C * Experience with data visualization tools, such as Tableau, to present large volumes of data in a user-friendly and visually pleasing format * Experience utilizing common academic software, such as LaTeX, Overleaf, web-scraping, and building websites to convey research results Certifications and Licenses: * None PHYSICAL REQUIREMENTS:* * Sitting (or standing) in place at a desk and using a computer for long periods of time with extensive keyboarding/dexterity * Occasionally use a telephone * Rarely writing by hand * Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. WORKING CONDITIONS: * May be required to work non-standard, extended, or weekend hours in support of research work This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $80,148 - $99,773 per annum. for onsite, hybrid or remote positions within Bay Area. The expected pay range for this position for remote work is $53,223 - $78,503 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* About Stanford University's Hoover Institution: The Hoover Institution is a preeminent center of public policy research located at Stanford University. Its fellows conduct advanced research regarding economics, politics, history, and political economy-both domestic and foreign-as well as international affairs. Their scholarship is grounded in the ideals of peace, individual liberty, free enterprise, and limited government. Founded in 1919 by Herbert Hoover before he became the thirty-first president of the United States, the Institution began as a repository of historical material gathered at the end of World War I. The library and archives have grown to be among the largest private repositories of documents on twentieth-century political and economic history. Over time the Institution expanded its mission from collecting archival material to conducting advanced research on contemporary history and economics and applying this scholarship to current public policy challenges. The Fiscal Policy Initiative researches potential solutions to the nation's fiscal policy challenges, providing a road map that promotes future economic growth and opportunity. Led by Senior Fellow, the initiative explores the economic consequences of US fiscal policy trends, including budget projections, debt sustainability, international responses to debt crises, the effectiveness of government spending and tax policy, and the interaction between fiscal and monetary policies The Hoover Institution at Stanford University is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information * Schedule: Full-time * Job Code: 4751 * Employee Status: Fixed-Term * Grade: G * Requisition ID: 107788 * Work Arrangement : Remote Eligible

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills. The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. What you get to do in this role Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. Develop quick utility dashboards and reports to help accelerate and scale insights delivery Qualifications Current enrollment in a full-time bachelor's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later. Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. Demonstrated ability to work collaboratively SQL skills with the ability to perform effective querying involving multiple tables and subqueries. Experience with Tableau and/or Power BI (or similar analytical packages) required. Advanced Excel and PowerPoint skills. Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

THE OPPORTUNITY TechInsights is looking for a qualified and motivated individual with a strong industry and market research background to join our Mobile Device team as an Industry Senior Analyst primarily focused on smartphone industry. The Mobile Industry Analyst is responsible for gathering and analyzing market data, maintaining assigned databases, and preparing presentations. The position also requires leading and conducting customized ad-hoc projects per clients' requirements. Additionally, the role is responsible for interacting with clients and prospects, responding to customer inquiries, and communicating thought leadership. WHAT YOU WILL DO * Research company activity, market drivers and technology developments around smartphone and mobile device industry and ecosystem and develop a deep understanding of current and emerging industry trends. This includes insight and analysis across both supply and demand. * Conduct primary and secondary research and consolidate data from multiple sources. * Lead and conduct customized ad-hoc projects per clients' requirements. * Research, write and publish reports on smartphone market trends on a timely basis. * Client Inquiry support - prioritize and respond to customer requests. * Support global / regional and country level forecasts and analysis by providing detailed insight into market trends * Research and collect data about smartphone and mobile device markets by utilizing in-house custom surveys, reviewing public company earnings, participating in analyst days, and many other activities, including attending events. * Update company models with segment revenues and price tier brackets * Analyze financial statements of companies in smartphone, mobile device and related industries * Maintain and update customized databases to cater key clients' needs * Collaborate with other analysts and IT to effectively manage and communicate results to customers As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. This information will be used to comply with U.S. Export Control Laws and Regulations. WHO YOU ARE * Bachelor's Degree or equivalent work experience * 4-7 years of experience, with project management and implementation skills * Strong quantitative, logic, qualitative research skills * Ability to analyze the financial statements of public companies * Expertise in MS Excel, Word, and PowerPoint * Polished written and oral communication skills * Ability to write short form research and blogs (in English) * Prefer experience with relational databases and basic knowledge of SQL * Prefer experience with excel macros and basic knowledge of VBA * Motivated to learn about the emerging technologies and trends around mobile industry * Knowledge of the semiconductor industry is a plus, but not a requirement WHY WORK WITH US * High growth company driven by high performance * Competitive pay and generous benefits (medical, dental, vision, wellness) * Expected salary: $142,000 - $150,000 USD * Flexible vacation policy * Annual fitness reimbursement * Strong sense of camaraderie, mutual respect and shared goals among colleagues * Support for community through charitable alliances * Professional and career development opportunities * Wellness resources and support from management OUR STORY TechInsights is the information platform for the semiconductor industry. Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights' content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry-past, present, or future. Over 650 companies and 150,000 users access the TechInsights Platform, the world's largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights' customers include the most successful technology companies, who rely on TechInsights' analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit ********************* Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We're committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together. TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. As part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. Our Privacy policy can be referenced here: *******************************************

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role The role of pre-training researchers sits at the core of our roadmap. This work blends research with large-scale data engineering to help assemble the pre-training datasets and data systems that underpin the next generation of AI models. You'll design and implement methods for sourcing, curating, and analyzing pre-training data for quality and performance. You'll work with automated pipelines and human-in-the-loop processes, contributing both scientific insight and production-grade code. It's ideal for someone who enjoys working at the intersection of data, machine learning, and systems, and who's excited by the challenge of shaping frontier AI. This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns. Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role. What You'll Do Design and implement techniques for curating, sourcing, and filtering large-scale text, code, and multimodal data. Develop data quality metrics and analysis to measure coverage, diversity, and representativeness across sources. Collaborate with research and infrastructure teams to scale data processing systems efficiently and reproducibly. Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to ensure responsible and ethical data use. Continuously evaluate dataset improvements by analyzing their downstream effects on model learning and behavior. Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia. Skills and Qualifications Minimum qualifications: Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales. Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. Clarity in communication, an ability to explain complex technical concepts in writing. Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some: A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs. Experience with curation, preprocessing, and analysis of large-scale text, code, or multimodal datasets. Prior experience in data engineering, dataset construction, or large-scale web data processing for machine learning models. Experience evaluating or improving training data quality and knowledge of data ethics, safety, and licensing frameworks relevant to AI dataset creation. Contributions to open datasets, research publications, or data tooling. PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience. Logistics Location: This role is based in San Francisco, California. Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Remote-first labeling and verification of research datasets, localized to Chicago. This role requires careful judgment, consistent annotation quality, and attention to detail in complex datasets.

As an Analyst or Associate in Institutional Equity Sales you will be responsible for partnering with a team of senior equity salespeople, helping to maintain and develop key investor client relationships. We are looking for someone with a strong intellectual curiosity, a passion for equity markets, a high degree of organization and attention to detail, and the ability to perform well under high pressure situations with the appropriate degree of urgency. Job Responsibilities: Supporting senior equity salespeople, attending corporate management IPO and follow-on presentations, backup coverage of existing equity relationships Navigate products effectively across a broad range of clients (asset managers, insurance accounts, pension funds, banks, sovereign wealth funds, hedge funds etc.) along with idea generation and market insight Bring a collaborative approach working with our business partners in trading, research, banking, and syndicate to provide comprehensive client coverage across the platform Required qualifications, capabilities, and skills: Experience in sales Hard working and self-motivated team player, works well in small groups, collaborates well with partners in Research, Trading, and Capital markets Critical thinker with the goal to help motivate stock idea generations and themes for clients Understanding of fundamental product knowledge and market structure Clear, logical thinker with strong qualitative skill set including effective communication and presentation Proficiency in Bloomberg, Microsoft Excel, Word and PowerPoint Preferred qualifications, capabilities, and skills: Series 7 & 63 license preferred but not required initially. Expect candidate to complete these licenses if they do not have them already.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity At Adobe, our mission is to empower creatives, marketers, and IT professionals with application-based products that transform their daily work and accelerate progress towards their business goals. Our Technical Pre-Sales (TPS) organization plays a critical role in preparing customers to purchase Adobe's integrated solutions by understanding their business needs, defining and validating their technical requirements, and demonstrating their ideal future state with Adobe technology. This intern role will support our TPS Strategy & Business Operations team within the broader TPS organization. Learn more about TPS Strategy & Business Operations As a TPS Strategy & Operations Analyst Intern, you will support the day-to-day management of core business functions, collaborating with team members across the TPS organization to improve the quality and efficiency of our Technical Pre-Sales processes. You will refine and leverage business & analytical skills by tracking key metrics that reflect our team's impact on Adobe's overall performance and by recommending operational improvements based on performance data. You will help to maintain and innovate our tools and systems and identify ways to scale programs and knowledge management. The TPS Strategy & Operations Internship at Adobe provides interns with the unique opportunity to gain hands-on experience conducting analyses and developing recommendations that impact our organization's structure and shape the way we support customer opportunities. By the end of the summer, you will have contributed to impactful projects while apprenticing alongside experienced members of our Strategy & Operations team as they engage with leaders and solve business problems. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do Drive Operational Excellence: Support daily business operations and collaborate to enhance TPS quality and efficiency. Leverage Data for Insights: Analyze performance, engagement, and operational metrics to measure TPS impact and identify improvement opportunities . Innovate Tools & Systems: Maintain and enhance internal tools, while scaling programs related to adoption and excellence. Communicate with Impact: Develop storytelling and presentation skills through regular interaction with leadership and cross-functional teams. Grow Your Expertise: Build business acumen and analytical capabilities while gaining exposure to Adobe's software business and networking across the organization. What You Need to Succeed Currently enrolled full time in a Bachelor's or Master's program, graduating between December 2026 and June 2027 Available to participate in a full-time internship from May to September 2026 Keen interest in analytics, operations, technology, or business strategy, demonstrated through coursework, activities, or experience Strong data and analysis skillset - demonstrated comfortability in excel and ability to run ad hoc data analysis Exceptional analytical and problem-solving skills: research, hypothesis development, and synthesizing recommendations Strong interpersonal skills with the ability to work effectively across all organizational levels Strong project management skillset Ability to communicate complex ideas clearly, both verbally and through writing and visual presentations Ability to assume leadership roles while working collaboratively within a team Curiosity and resourcefulness, with a drive to absorb new concepts and explore unfamiliar topics in depth Enthusiasm for challenges and learning about the Cloud Software industry Positive attitude and a proactive approach to work Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $25.00 -- $30.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. Introduction We are looking for an enthusiastic intern to join our team and help us explore innovative ways to process large volumes of equipment data using Artificial Intelligence (AI). This internship offers a unique opportunity to work on cutting-edge technologies and contribute to transforming how we manage and analyze machine data collected from customer sites. Background Information Our team is responsible for managing and analyzing equipment data generated by machines deployed at customer locations. Currently, processing this data involves tedious manual activities and the use of existing scripts with limited flexibility. These challenges hinder scalability and efficiency, creating a strong need for automation and smarter solutions. Your Assignment: The intern will investigate emerging AI technologies and techniques to improve data processing workflows. The goal is to identify opportunities where AI can replace or augment manual processes and develop proof-of-concept solutions to showcase potential improvements. Research AI methods applicable to data processing and automation. Analyze current workflows and identify areas for improvement. Develop prototypes or proof-of-concept solutions using AI tools and frameworks. Document findings and present results to the team. Requirements: Minimum 60 hours completed towards a Bachelor's degree in an Engineering field and an expected graduation date of December 2026 or May 2027.with experience in working with data analysis tools and techniques. Problem Statement: Big amounts of equipment data are being collected from our machines at customer sites. Processing of that data heavily relies on manual activities and rigid scripts. This internship aims to explore AI-driven approaches to automate and optimize these processes. What Makes This Internship Interesting: You will work on real-world industrial data challenges, gain hands-on experience with AI technologies, and contribute to shaping future solutions for data-driven operations. The current base annual hourly range for this role is currently $18.00 - $48.00. Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.