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Principal Software Engineer, Site Reliability
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Analyze system performance impacting the complete product for non-functional requirements like reliability, operability, performance efficiency and security.Create detailed design using mock screens, pseudo codes and detailed functional logic of the modules for an entire product. Finalize the tech stack (For example MEAN, LAMP etc.) - for products/systems based on the business needs. Review the MVP to uncover risks and check for performance and usability; guide the team during MVP creation. Drive design of software, production and preproduction environments and deployment pipeline to continuously generate records for telemetry.Infrastructure Design: Requires knowledge of: Software architecture; Distributed systems; Scalability; Design patterns; Disaster Recovery; TechStacks; Non-Functional Requirements; Security standards, frameworks, and methodologies (System Security Plan -SSP, Security Risk andCompliance Review- SRCR etc.)To assist in creation of simple, modular, extensible and functional design for the product/solution in adherence to the requirements. Evaluate trade-offs while designing across multiple components in a system based on the business requirements. Convert HLD to create detailed design for specific modules / components of a product/system. Understand nuances of designing for disaster recovery. Undertake infrastructure coding automation.Coding : Requires knowledge of: Coding standards and guidelines; Coding languages (E.g. JavaScript, Python, C# etc.), frameworks(E.g. ActiveX, .Net, Cocoa, Android application framework etc.), tools(E.g. Monday.com, Linx, Embold etc.) and Platforms (E.g. Microsoft Azure, AWS , Apple IOS etc.); Quality, Safety and Security (PCI etc) standards; Emerging tools and technologies; Telemetry.To create/configure minimalistic code for entire component/application and ensure the components are meeting business/technical requirements, non-functional requirements, low-maintainability, high-availability and high-scalability needs.Assist in the selection of appropriate languages (E.g. JavaScript, Python, C# etc.), development standards and tools (E.g. Monday.com, Linx, Embold etc.)for software coding/configuration. Take initiative to learn the fundamentals of different coding languages and frameworks that would be useful for future scope of work. Build scripts for automation of repetitive and routine tasks in CI/CD (Continuous Integration/Continuous Delivery), Testing or any other process(as applicable).Implement telemetry features as required independently. Ensure security policy requirements are properly applied to components/application during code development/configuration.Triaging and Troubleshooting : Requires knowledge of: Regression testing; Root cause analysis (RCA); Root cause corrective action (RCCA) To guide team members in RCA and RCCA to identify the origins of and prevent defects/performance gaps. Analyzes complex problems involving multiple parties, networks, hardware, software, and cloud computing technologies.Assesses immediate restoration versus root cause based on consequences and resource requirements. Analyzes the issues and plans a series of steps to enhance an application's availability and reliability, potentially including reconfiguration, integration, removal, or the addition of application components. Analyzes trends to proactively prevent incidents and provide historical summary reports.Disaster Recovery Planning : Requires knowledge of: Disaster recovery procedures and processes; Enterprise disaster recovery systems. To coordinate partial and full tests of contingency and disaster recovery plans. Creates and maintains data center contingency documents and action plans. Defines and documents contingency and disaster recovery procedures. Leads the identification of critical functions for assigned area of responsibility. Creates and tests plans for operating in a remote back-up environment. 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Analyzes systems and makes recommendations to prevent possible incidents using knowledge of complex and company-wide systems.Writes advanced "Splunk" queries to join multiple indices to stitch data.Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness.Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost effectiveness; and participating in and supporting community outreach events. At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart at https://bit.ly/3iOOb1J .The annual salary range for this position is $168,000.00-$252,000.00Additional compensation includes annual or quarterly performance incentives.Additional compensation for certain positions may also include:- Regional Pay Zone (RPZ) (based on location)- Stock equity incentivesMinimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and5 years' experience in software engineering or related area.Option 2: 7 years' experience in software engineering or related area.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area.Primary Location...840 W CALIFORNIA AVE, SUNNYVALE, CA 94086-4828, United States of America About WalmartAt Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.Hello, Silicon ValleyYou don't have to choose between your career and your lifestyle in Silicon Valley. Here, you can have both.
Applications Engineer
Intuitive Surgical, Inc., Sunnyvale
Company Description At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description Primary Function of PositionWe are seeking an engineer to support the Intuitive Surgical team focused on new product development tools and process. The engineer in this position will help develop, verify, and deploy new engineering tools (for internal use) and processes in compliance with established Design Control DOPs and associated processes. The ideal candidate is a quality focused self-starter with excellent problem-solving skills, a keen attention to detail and a passion for software architectures and processes. The candidate must have a functional understanding of Medical Device regulations and experience implementing compliant requirements management or test management processes and automation tools.Essential Job DutiesSupport validation testing of Design Control Tools and Processes by following testing strategy and writing test cases to ensure design requirements are met.Design and implement UI features and ancillary scripts using Python, JavaScript, SQL and VelocityTest and debug scripts, queries, dashboards, and reports from toolsWork with cross-functional teams to identify pain points, inefficiencies, and potential areas of design control gaps.Collaborate with business stakeholders to understand requirements and translate them into solutions to deliver approved tools and process improvements/optimizations.Enterprise-wide tools development, verification, support, and training.Configuration, maintenance, and administration of corporate Design Controls tools and data content.Develop tools, templates and optimized workflows that improve product development productivity.Support compliance with global medical device deliverables including submissions and DHFs.Develop and assist in delivery of training to help drive adoption of Design Control processes and tools across the company.User support for documentation and traceability reports for regulatory submissions. Qualifications Required Skills and ExperienceBasic Understanding of Medical Devices Design Controls regulations (FDA CFR/QSIT, MDR, ISO 13485, ISO 14971)Programming skills in Python, JavaScript, Velocity, SQL, and/or HTMLBasic understanding of database architecture and design strategyRequirements Management excellence to help translate technical details into unambiguous, testable, reusable requirements and specificationsUnderstanding of multiple technology areas (software, mechanical, electrical, biomedical, clinical, robotics, test automation, etc)Ability to help end users from cross functional teams to efficiently create fully documented, robust, and reliable medical devicesDetail-oriented and quality focused with excellent investigative skillsStrong communication skills with experience in training end users including developing training content and addressing user support questionsRequired Education and TrainingBachelor's Degree in Engineering/CS related field required. Master's degree preferred.1-3 years of previous related experience in medical device development, applications engineering, systems engineering, software development, requirements management, test management, and/or regulatory documentationExcellent verbal and written communication skillsExcellent planning and time management skillsHighly proficient in Word, Excel, Visio, and PowerPointWorking Conditions Set Schedule (on-site 3+ days per week) Preferred Skills and Experience Proficiency in Oracle/AgileExperience with using automated test execution tools such as but not limited to MF ALMExperience with using Application Lifecycle Management (ALM) Tools such as Polarion, MKS/PTC Integrity, DOORS, HP ALMAdditional specialized training in a discipline such as software engineering, test engineering, quality, risk management, or regulatory compliance.Knowledge of Part 11 compliance for electronic signature and digital records Additional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Base Salary Range Region 1: $100,300 USD - $135,700 USD Base Salary Range Region 2: $85,300 USD - $115,300 USD Shift: Day Travel: 10% of the time Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
Staff Software Engineer - ML Systems (Foundational AI Technology)
LinkedIn, Sunnyvale
Company Overview: LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.Location: At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.This role will be based in either Sunnyvale, CA or New York, NY.Team Overview:Foundational AI Technologies (FAIT) organization stands as the innovation epicenter, addressing the fundamental AI challenges and the force behind LinkedIn's next-generation AI-driven member experiences. Our mission spans across the entire marketplace, leveraging our expertise in data curation, algorithm development, and robust infrastructure to spearhead AI innovations. We are dedicated to creating a transformative impact on all LinkedIn products, establishing the platform as a leader in the AI realm.Responsibilities:As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members' platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.• Work with BIG data (petabyte scale environment), crunching millions of samples for statistical modeling, data mining, recommendation solutions• Design system architecture, implement scalable data pipeline and serving service, write production quality code and influence the next generation of LinkedIn's system• Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed• Build scalable AI innovations with foundation and infra partners• Provide technical leadership to team and drive cross-functional communicationBasic Qualifications:• Bachelor's degree in Computer Science or related technical field or equivalent practical experience• 4+ years of industry experience in system design, development, and algorithm related solutions.• 4+ years of coding experience utilizing programming languages such as Java, Python, or Scala• 4+ years experience with data engineering, data infrastructure, and/or machine learningPreferred Qualifications: • 7+ years of relevant industry experience• MS or PhD in Computer Science or related technical discipline• At least one year of experience in the Machine Learning or AI domain, working with technology infrastructure related to Deep Learning, Large Language Models (LLM), Generative AI (GAI), Natural Language Processing (NLP), or other areas.• Experience developing large scale enterprise grade systems and/or infrastructure• Experience with Spark, Tensorflow and Java.• Experience working with streaming solutions (Kafka, Samza, etc.)Suggested Skills:• Distributed Systems Design• Technical Leadership Experience• Ability to solve complex technical problems• Knowledge of machine learning, optimization algorithms, and/or deep learningYou will Benefit from our Culture:We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.Compensation:LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000-$255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.Equal Opportunity Statement:LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:-Documents in alternate formats or read aloud to you-Having interviews in an accessible location-Being accompanied by a service dog-Having a sign language interpreter present for the interviewA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.Pay Transparency Policy StatementAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.Global Data Privacy Notice for Job CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
Staff AI Engineer (Anti-Abuse)
LinkedIn, Sunnyvale
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.This role will be based in Sunnyvale or San Francisco. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.We are looking for an experienced Staff Engineer for the Anti-Abuse AI organization. The mission of the Anti-Abuse AI team is to build trust in every interaction on LinkedIn. The team uses a wide suite of state-of-the-art Machine Learning techniques to identify patterns in large-scale attacks and take down attackers proactively. This engineer will help lead the effort to build detection and prevention algorithms, models, and systems that can stay ahead of attackers in an adversarial space.LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.Responsibilities:• Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions• Write production quality code and influence the next generation of LinkedIn's system• Build scalable AI innovations with foundation and infra partnersCollaborate with other engineers to deliver state-of-the-art solutions for the most complex problems to keep members safe on the platformBasic Qualifications:• Bachelor's degree in Computer Science or related technical field or equivalent practical experience• 4+ years of industry experience in software design, development, and algorithm related solutions.• 4+ years experience programming languages such as Java, C/C++, Python, etc.Experience with machine learning, optimization algorithms, deep-learning techniquesExperience in anti-abuse.Preferred Qualifications:?• 6+ years of relevant machine learning experience• MS or PhD in Computer Science or related technical discipline• Experience developing large scale systems• Experience with Spark, Tensorflow and Java.• Previous leadership or mentorship experience is preferred• Ability to diagnose technical problems, debug code, and automate routine tasks• Analytical approach coupled with solid communication skills and a sense of ownershipExperience in account security (account take overs) and/or fake accounts.Suggested Skills:Experience leading engineers to tackle a large-scale AI problemStrong technical background & Strategic thinkingAnti Abuse AI ExperienceYou will Benefit from our Culture:We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000-$255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
Distinguished Software Engineer
LinkedIn, Sunnyvale
DescriptionLinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid option. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.LinkedIn is looking for a Distinguished Engineer with expertise in platforms and infrastructure to provide thought leadership for Data Infra organization. Data Infra builds scalable, highly available, secure, easy to use and cost-efficient infrastructure that powers LinkedIn's applications and infra systems. It covers a portfolio of products and services that allow applications to store, access/query, process and manage data. Our roadmap is bursting with great ideas and we are looking forward to having this distinguished Engineer help in solving intriguing technical challenges and building robust infrastructure that will help engineers to build cutting-edge experiences at scaleAs a Distinguished Engineer at LinkedIn, you will lead technology vision and development for Data Infrastructure Org. You will have the opportunity to architect and lead the next generation of AI-first infrastructure that powers LI's Business . From Data Processing pipelines to storage systems to Online data infra to driving business impact - you will get to experience all. The successful candidate will be a strong thought leader in the technology space, with the ability to build and execute at scale, inspiring and guiding a large team of engineers solving big problems.As a key leader in the organization, you will be responsible for innovation, implementing tech strategy, staying ahead and influencing adoption of industry best practices in building and scaling state of the art InfrastructureResponsibilities:• Develop a strong understanding of LI's Core Infrastructure and its trends and provide domain expertise to the team.• Head cross team/cross functional discussions and drive alignment on product/technology strategy, influencing decisions• Help define technical strategy& leverage business and domain acumen to interpret and translate business requirements to architecture/technology plans.• Help build highly scalable systems and applications to enable the organization to achieve its goals.• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.• Establish a culture that values diverse viewpoints while navigating complex decisions.• Publish, present, and contribute as a thought leader in the field of Infrastructure• Advise LinkedIn executives on a broad range of technology, strategy, Policies and best practices to build Infrastructure at scale• You believe in building relationships at all levels and can seamlessly work in a cross-functional team set up with distributed ownership. You partner with teams across the globe to foster a culture of collaboration and can own and drive large scale initiatives.• Identify problems, opportunities and advise, architect, design and operationalize Tech solutions.• Be part of the TLG (Technology Leadership Group) contributing to the overall strategy & roadmap considerations• Evangelize and inspire best practices across LI to transform them towards thinking AI-first Infrastructure• Establish a culture that values diverse viewpoints while navigating complex decisions• Lead by example to build a culture of craftsmanship and innovation.• Provide mentorship to other senior engineering talent• Assume hands-on leadership, especially when helping teams resolve complex problemsBasic Qualifications:• PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience• 10+ years of relevant work experiencePreferred Qualifications:• 10+ years' experience in building robust Platforms with at least 5 of those years in a technical or scientific leadership position• Experience in designing and implementing platforms at scale to solve complex business problems• Experience leading complex technical projects with multiple stakeholders• Experience in leading large scale development projects from concept to multiple releases in production• Experience of technical leadership guiding and mentoring top engineering and operations talent• Experience leading high-impact, cross-company initiatives• Dream big. Make big, bold moves to define and build the next generation of Infrastructure."Suggested Skills"• Building Enterprise Applications and building innovative platforms from scratch and scaling through hypergrowth• Developing Technology Strategy at a company-wide scale• Technical leadershipLinkedIn is committed to fair and equitable compensation practices.The pay range for this role is $229,000 to $375,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.#LI-HYBRIDEqual Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
AI Engineer
LinkedIn, Sunnyvale
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.This role will be based in Sunnyvale or San Francisco.At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. This is a full-time engineering role based in San Francisco or Sunnyvale, CALinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Responsibilities:• Building and deploying relevance models that power our various recommender systems and personalized intent engines• Keeping scalability and performance in mind through your design and engineering choices.• You will explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP.• You will work with big data and analyze tracking data to understand member preferences and identify opportunities for taking the products you work on to the next level.• You will work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.Basic Qualifications:• Bachelor's degree in Computer Science or related technical field or equivalent technical experience• 1+ year of industry experience in software design, development, and algorithm related solutions.• 1+ years experience programming languages such as Java, C/C++, Python, etc.Preferred Qualifications:?? 1+ years of relevant work experience? MS or PhD in Computer Science or related technical discipline? Experience with machine learning, data mining, and information retrieval or natural language processing is not required but is helpful? Experience developing large scale systems? Knowledge of recommendation systems? Ability to diagnose technical problems, debug code, and automate routine tasks? Analytical approach coupled with solid communication skills and a sense of ownershipSuggested Skills:• Experience in Machine Learning and Deep Learning• Experience in Big Data • Strong technical background & Strategic thinkingYou will Benefit from our Culture:We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $107,000-$176,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice