Search Engineer Salary in San Jose, CA

201 Third Street (61049), United States of America, San Francisco, CaliforniaSenior Engineer - Generative AI Product EngineerOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.Enable our users to build new GenAI capabilities.Develop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 4 years of experience designing and building and deploying ML application platforms.At least 4 years of experience programming with Python, Go, Scala, or JavaAt least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networksPreferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.Familiarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Locations: NY - New York, United States of America, New York, New YorkDistinguished Engineer, Generative AI Systems (Remote-Eligible)Distinguished Engineer, Generative AI SystemsOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.Design and build infrastructure for serving large ML models, in our public cloud.Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud.Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selectionDevelop applications that leverage LLMs and FMs.Design and implement capabilities to support MLOps for foundation models.Capital One is open to hiring a Remote Employee for this opportunityBasic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 7 years of experience designing and building distributed computing HPC and large-scale ML systemsAt least 5 years of experience developing AI and ML algorithms in Python or C/C++At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.Preferred Qualifications:Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.Experience architecting cloud systems for security, availability, performance, scalability, and cost.Experience with delivering very large models through the MLOps life cycle from exploration to serving.Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning EngineerRemote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Locations: VA - McLean, United States of America, McLean, VirginiaSr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)Sr Distinguished Engineer, Generative AI SystemsOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.Design and build infrastructure for serving large ML models, in our public cloud.Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud.Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selectionDevelop applications that leverage LLMs and FMs.Design and implement capabilities to support MLOps for foundation models.Capital One is open to hiring a Remote Employee for this opportunityBasic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 9 years of experience designing and building distributed computing HPC and large-scale ML systemsAt least 6 years of experience developing AI and ML algorithms in Python or C/C++At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.Preferred Qualifications:Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.Experience architecting cloud systems for security, availability, performance, scalability, and cost.Experience with delivering very large models through the MLOps life cycle from exploration to serving.Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning EngineerRemote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Center 3 (19075), United States of America, McLean, VirginiaSenior Engineer - Generative AI Product EngineeringOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.Enable our users to build new GenAI capabilities.Develop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 4 years of experience designing and building and deploying ML application platforms.At least 4 years of experience programming with Python, Go, Scala, or JavaAt least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networksPreferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.Familiarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.Keen attention to following production standards and practices.Passionate about ML optimizations and open source technologies.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.Job Description Summary:At PayPal, we're literally reinventing how the world pays and gets paid. We understand that it's about people. We connect individuals to let them shop, get paid, donate and send money using today's technology with the confidence that comes from the security and control PayPal enables. Are you ready to help us change the world?The world's leading payments company, PayPal, brings together a family of brands that are revolutionizing the way people move money. At PayPal you will be immersed in an amazing community with a vibrant culture that thrives on innovation, collaboration, inclusion and wellness. Software Engineers at PayPal develop innovative solutions and high-quality products that touch millions of people every day around the globe. Our engineers solve some of the most complex technical problems in the world of connected payments across all business units, including PayPal, Braintree, Venmo, Paydiant and others. We are looking for the highest levels of technical talent and programming skills, as well as a keen desire to deeply understand our products and services to push our technology forward with respect to functionality, performance, reliability, and scalability.You'll work alongside the best and the brightest engineering talent in the industry. We have opportunities in a wide range of areas including development, design, search, platform, test, quality, big data, front end and back end. As a core participant of your team, you'll estimate engineering efforts, design your changes, implement and test your changes, push to live, and triage production issues. You need to be dynamic, collaborative, and curious as we build new experiences, improve existing products, and develop distributed systems powering the world's largest e-commerce and payments websites at a scale only a few companies can match.Job Description:In your day-to-day role you will: • Design, develop, test, and deploy robust software solutions using Java in a Linux/Unix environment, ensuring high performance, security, and scalability.• Independently work on multiple product features, utilizing your technical expertise to propose innovative solutions for both new and existing functionalities, informed by a growing understanding of our products and the business domain.• Manage your own project deliverables, timelines, and priorities, effectively balancing multiple tasks to meet project deadlines and performance targets.• Actively engage in design and code reviews, providing constructive feedback to peers and incorporating feedback into your own work to maintain high standards of code quality and functionality.• Mentor and train new team members, sharing your knowledge and experience to help onboard them onto the team quickly and efficiently, fostering a culture of learning and continuous improvement.What Do You Need To Bring• A Bachelor's degree in Computer Science or an equivalent combination of technical education and work experience.• Two or more years of software development experience, with a strong emphasis on Java, including experience with the Spring Framework.• A deep understanding of data structures, object-oriented design, and algorithms. Experience working with large-scale, highly available, and distributed systems.• Experience developing automated unit, integration, and functional tests, preferably in a Java environment using tools like JUnit, Mockito, or Spring Test.• Proficiency in using Maven as a build and dependency management tool.• Experience designing and developing RESTful web services.• An understanding of Continuous Integration (CI) and Continuous Delivery (CD) concepts, with experience in using build and deployment tools to streamline and automate the development lifecycle.Additional Job Description:Subsidiary:PayPalTravel Percent:0-PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is$60900 to $147400Our Benefits:At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:Click Here to learn more about our culture and community.PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visithttps://www.paypal.com , https://about.pypl.comand https://investor.pypl.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] general requests for consideration of your skills, please Join Our Talent Community.

Drive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners, and developers. Experience with a microservice architecture and platform-based development.Requirements.NET Experience.NET Core Experience. ASP.NET Experience. Software DeveloperSoftware EngineerC# ExperienceExperience as a technical or team lead or equivalentWorking knowledge of unit testing, user stories or use cases, design patterns or equivalent experience, and object oriented software designDesire to be a team player and work in a fast-paced environmentBenefitsSupportive, progressive, fast-paced environment Competitive pay structureMatching 401(k) with immediate vestingMedical, dental, vision, life, & short-term disability insuranceAssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local lawsAll offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background checkIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this positionAssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire

Drive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners, and developersExperience with short release cycles, feature toggle implementations, and continuous integrationExperience with a microservice architecture and platform-based developmentResponsible for development process improvement and removing impedimentsContributes to development tasks such as coding and feature verifications to assist teams with release commitmentsCoaching and mentoring leads through technical and nontechnical challengesBachelor's degree in Computer Science, Business Information Systems or related field or equivalent work experience is required10+ years experience in software developmentLeading a teamExperience(s) as a technical or team lead or equivalent experienceWorking knowledge of unit testing, user stories or use cases, design patterns or equivalent experience, and object oriented software designDesire to be a team player and work in a fast-paced environment.NET.NET CoreASP.NETSoftware DeveloperSoftware EngineerC# ExperienceBenefitsSupportive, progressive, fast-paced environmentCompetitive pay structureMatching 401(k) with immediate vestingMedical, dental, vision, life, & short-term disability insuranceAssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local lawsAll offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background checkIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this positionAssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hireIn the spirit of transparency, a reasonable base salary for this full-time position is 100,000 to 120,000 excluding fringe benefits and potential bonuses. Within the range, individual pay will be determined by work location, experience, relevant education/training and other job related factors. Your recruiter can share more about the specific salary range for your preferred location during the hiring process

A technology solutions firm based in Orlando, Florida; AssistRx focuses on connecting pharmaceutical and biotech manufacturers together with their patients, providers and pharmacies. iAssist?, AssistRx's flagship product is a state-of-the-art technology that simplifies the prescribing process of specialty therapies and applies a menu of technology solutions that ultimately improves what is most crucial to every pharmaceutical and biotech brand - accuracy, adherence and, most importantly, access and speed to therapy.ResponsibilitiesDrive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners, and developersExperience with short release cycles, feature toggle implementations, and continuous integrationExperience with a microservice architecture and platform-based developmentDevelopment process improvement and removing impedimentsContribute to development tasks such as coding and feature verifications to assist teams with release commitmentsCoaching and mentoring leads through technical and nontechnical challengesDesire to be a team player and work in a fast-paced environmentRequirementsExperience as a technical or team lead or equivalentWorking knowledge of unit testing, user stories or use cases, design patterns or equivalent experience, and object oriented software design.NET, .NET CoreASP.NETSoftware DeveloperSoftware EngineerC# experienceBachelor's degree in Computer Science, Business Information Systems or related field or equivalent work experience is required3+ years experience in software developmentBenefitsSupportive, progressive, fast-paced environment. Competitive pay structureMatching 401(k) with immediate vestingMedical, dental, vision, life, & short-term disability insuranceAssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local lawsAll offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background checkIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this positionAssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.Job Description Summary:Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal's more than 300 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in more than 50 currencies and hold balances in their PayPal accounts in 25 currencies.At PayPal, we're literally reinventing how the world pays and gets paid. We understand that it's about people. We connect individuals to let them shop, get paid, donate and send money using today's technology with the confidence that comes from the security and control PayPal enables. Are you ready to help us change the world? The world's leading payments company, PayPal, brings together a family of brands that are revolutionizing the way people move money. At PayPal you will be immersed in an amazing community with a vibrant culture that thrives on innovation, collaboration, inclusion and wellness.Job Description:Software engineers at PayPal develop innovative solutions and high-quality products that touch millions of people every day around the globe. Our engineers solve some of the most complex technical problems in the world of connected payments across all business units, including PayPal, Braintree, Venmo, Paydiant and others. We are looking for the highest levels of technical talent and programming skills, as well as a keen desire to deeply understand our products and services to push our technology forward with respect to functionality, performance, reliability, and scalability.You'll work alongside the best and the brightest engineering talent in the industry. We have opportunities in a wide range of areas including development, design, search, platform, test, quality, big data, front end and back end. As a core participant of your team, you'll estimate engineering efforts, prioritize projects, plan implementations, and triage production issues. You need to be dynamic, collaborative, and curious as we build new experiences, improve existing products, and develop distributed systems powering the world's largest e-commerce and payments websites at a scale only a few companies can match. You will work with both established and cutting edge technologies like Java, Spring, Spring Boot, Camel, J2EE, JaxB, JSON, Protobuf, RxJava, RxNetty, Hibernate, and Hystrix or Resilience4J to build highly resilient, low-latency, high throughput and with 4 9's availability services.The responsibilities include:Design, develop, and test new capabilities to meet the business needsCollaborate with peers and seniors both within Payments team and across the organization and geo-locationsWork with the product managers using agile methodologies to deliver high quality solutions on timeWork with operations teams to ensure your applications and services are highly available and reliableSupport your applications services as and when required on a 24x7 basisSuccessful engineers are:Self driven to get results and not let anything get in your wayProactive, anticipate and handle issues before they become a problemExhibit a strong resolve and challenge the status quo when neededDemonstrate a high level of curiosity and keep abreast of the latest technologiesShow pride of ownership and strive for excellence in everything they doJob RequirementsBS in Computer Science or equivalent, MS preferred8+ year experience in Java programmingStrong fundamentals of Object Oriented Programming using Java, C++ (or equivalent)Designed web applications and clearly understand concepts like Web Services, SOA, REST APIsExpert in Spring, Spring Boot, J2EE technologies, RxJava, JSON, RESTful APIsExpert in designing and building RESTful interfaces in a commercial settingBuilt SQL & NoSQL solutions and understand the pros and cons of relational andfreeform databases.Competent in design and implementation for reliability, availability, scalability and performanceWell versed in software engineering tools and best practicesAdditional Requirements:Design and architecture of distributed systems and/or micro servicesMentored junior engineersExperience leading global, multi time zone teamsAdditional Job Description:Subsidiary:PayPalTravel Percent:0-PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is$84500 to $204600Our Benefits:At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:Click Here to learn more about our culture and community.PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visithttps://www.paypal.com , https://about.pypl.comand https://investor.pypl.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] general requests for consideration of your skills, please Join Our Talent Community.

Engineering Geologist (CEG)3 Locations Available | req1462Job available in these locations:San Jose, CA, United StatesOakland, CA, United StatesWalnut Creek, CA, United StatesAt Haley & Aldrich, a 900+ person national engineering and environmental consulting firm, our creative, technically strong staff work collaboratively to deliver exceptional value to clients. We look for professionals with a passion for solving complex challenges and for creating change, which is a vital part of our culture, no matter what role a staff member holds. We are urgently looking to add new talent to our growing team! We are seeking experienced mid - senior level Engineering Geologists/Assistant Project Managers to serve our west coast business unit and clients. Our ideal candidate has experience with complex sites including Bay Mud and those with seismic hazards. The successful candidate will also have experience with mid to high-rise buildings including development of parameters for support of excavation (shoring) and permanent walls for basements. This position is full-time and could be based out of our Walnut Creek, Oakland, or San Jose, CA office locations.DUTIES/RESPONSIBILITIESThe successful candidate will:Serve as a key member of the "core" geotechnical team to provide long-term strategic thinking for a highly integrated, collaborative, and mutually motivated client/consultant team to safely and efficiently achieve site closures. Work collaboratively with a passionate team supporting a wide variety of clients with numerous challenging projects.Understand client needs and be able to develop strong client relationships.Be capable of managing financial and technical aspects of projects.Execute projects to meet technical, quality, budgetary and scheduling requirements.Demonstrate very strong verbal communications and written skills including client deliverables.Be effective in assigning and managing work.Demonstrate strong coaching and mentoring skills to more junior level staff.Possess skills in quality control, planning, cost estimating, and scheduling.Direct geotechnical field observation and testing programs.Be able to effectively prepare recommendations for various foundation systems, including driven piles, drilled piers, mat foundations, micro-piles, and spread footings.Have advanced knowledge of the California seismic landscape and proven skills of developing hazard mitigation measures required.Have experience specific to mid-and high-rise buildings; deep excavations, shoring and underpinning, mass grading, dewatering, and ground improvements techniques.Develop a working understanding of H&A’s other consulting practice areas and actively support marketing other, additional services to existing clients.SKILLS/EXPERIENCEMinimum of Bachelor of Science in Geology with specific coursework in geotechnical engineering or engineering geology; Master’s degree in Engineering Geology desired. Must be licensed as a CA Professional Geologist.Must have CA CEG registration or be able to sit and get licensed for within 6 months REQUIRED.Minimum 4-8 years of relevant site investigation, geotechnical analysis, and geotechnical engineering geology construction support experience, including professional services consulting experience in the Bay Area.Minimum 1 – 2 years of cradle to grave Project ManagementProven client relationships supported by repeat business.Excellent written and verbal communication skills.Must be proficient at writing, review, and editing technical reports to meet scope and quality objectives and client expectations.Ability to comply with the Guiding Principles and Code of Behavior articulated in our Company. About Haley & AldrichHaley & Aldrich is committed to delivering the value our clients need from their capital, operations, and environmental projects. Our one-team approach allows us to draw from our 900 engineers, scientists, and constructors in more than 35 offices for creative collaboration and expert perspectives. Since our founding in 1957, we have had one goal in all we do: deliver long-term value efficiently, no matter how straightforward or complex the challenge. Learn more at haleyaldrich.com.Haley & Aldrich is an equal opportunity employer. All qualified applications will receive consideration for employment without regard to gender, race, age, disability, veteran, or any other legally protected status. We offer excellent career growth, a highly competitive total compensation plan, and a solid benefits package. Interested candidates should apply on our Careers page.The salary range for this position in California is $105,000 - $115,000 annually. Actual compensation will be based upon a variety of factors such as education, related work experience, certificates, skills, and current market conditions. Haley & Aldrich reviews salary ranges each quarter to ensure we are competitive in the current market. Note to external search firms: Haley & Aldrich does not accept unsolicited resumes and will not be obligated to pay a placement fee for unsolicited resumes. Please do not send resumes to Haley & Aldrich employees. Please work through a Talent Acquisition Manager.#LI-JL1ACCOMMODATIONS FOR APPLICANTS WITH DISABILITIES AND LIMITED ENGLISH PROFICIENCY Haley & Aldrich, an equal opportunity employer committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans´ Readjustment Act of 1974, Title I of the Americans with Disabilities Act of 1990 and pursuant to Executive Order 13166, applicants with disabilities or limited English proficiency that require accommodation in the job application process may contact 1-617-886-7400 for assistance.PI239790327