LinkedIn jobs in Bellevue, WA - 1055 jobs

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This internship role will be based out of Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Are you interested in Backend Development? We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. You will utilize distributed systems and algorithms and perfect your strong systems orientation skills (multi-threading, concurrency, scalability, performance). You will understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. Candidates must be currently enrolled in a master's degree program, with an expected graduation date December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions May 26th, 2026 - August 14th, 2026 June 15th, 2026 - September 4th, 2026 The ideal intern candidate will help scale LinkedIn's infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below Data Infrastructure: Build and support large scale systems (e.g. Apache Kafka, Apache Samza, Hadoop, Pinot, Espresso, Ambry, Helix etc.) and tools that enable the generation of insights and data products on all of LinkedIn's internal and external data via self-serve computing, reporting solutions, and interactive querying Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn- which responds to thousands of queries per second with target latencies in tens of milliseconds. The platform runs in 24/7 production environment and enables search quality engineers to rapidly innovate, experiment and improve relevance- while at the same time remaining constantly available and performant to our users Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content Qualifications Basic Qualifications: • Currently pursuing a MS Degree in Computer Science, or related technical field and returning to the program after the completion of the internship. • Programming experience in one or more of the following languages: Java, C/C++, C#, Python, or Ruby. • Knowledge of core computer science concepts such as object-oriented design, algorithm design, data structures, problem-solving, and complexity analysis Preferred Qualifications: • Experience working in a short-cycle, agile, iterative development team. • Knowledge of computer science, with strong competencies in data structures, algorithms, software design, and object-oriented skills. Suggested Skills: • Distributed Systems • Operating Systems • Cloud Computing As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $60-$70. 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ******************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

A leading social media platform in Palo Alto is seeking a Machine Learning Engineer/Economist to enhance the efficiency of its marketplace. The ideal candidate should possess a degree in a relevant field and have experience in data analysis and machine learning. This role involves building statistical models and driving cross-functional collaboration. A competitive salary range from $177,309 to $310,291 is offered, along with potential equity benefits. #J-18808-Ljbffr

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 As a Machine Learning Intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship, you'll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow's engineering challenges. What you'll do: Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems Collect, analyze, and synthesize findings from data and build intelligent data-driven models Write clean, efficient, and sustainable code Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search Scope and independently solve moderately complex problems Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed What we are looking for: Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) Experience in research and in solving analytical problems Strong communicator and team player with the ability to find solutions for open-ended problems Why Intern at Pinterest? Meaningful Work: Contribute to projects that impact millions of users worldwide. Mentorship: Learn from and be guided by experienced engineers and researchers in the field. Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The salary for this position is $11,000 monthly. #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Ads Identity Modeling (AIM) sits within the Ads Conversion Modeling group in the Ads Performance org and focuses on identity and conversion modeling that improves conversion ads performance and unlocks new optimization objectives in close partnership with Ads Measurement and ranking teams. We treat conversion data as first‑class: growing resilient conversion signals and amplifying their usage across Pinterest to drive measurable impact in ads delivery and beyond. The team owns core identity and conversion‑linked ML systems, including User Match Prediction (UMP), and is also responsible for building models that focus on driving incremental conversions. What you'll do: Lead the roadmap and technical direction for User Match Prediction (UMP)-from features and training data to model deployment-to increase match rate/quality and strengthen downstream attribution and optimization. Define and productionize a model to generate a user match confidence score, and use it to optimize label weighting and feature construction in conversion models (e.g., oCPM/ROAS). Develop and ship models that increase incremental conversions, partnering with Data Science and Product to set success criteria and measurement plans. Partner with Ads Measurement, Ads Signals, Ranking, and ML Infra to translate identity improvements into reliable online impact and strong operational readiness. Guide model architecture evolution (e.g., feature interactions, multi‑task learning, serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI, WAU attribution, IP‑loss mitigation). Contribute to the longer‑term Identity Graph (IDG) collaboration (multi‑hop identifiers, candidate generation and ranking) to improve identity resolution and downstream utility. Hire, mentor and grow ML engineers in ads quality and partner teams and help to uplevel ML talent across the company. What we're looking for: MS or PhD degree in Computer Science, Machine Learning, Statistics or related field. 6+ years of industry experience with related background in Ads conversion modeling/products or Ads measurement modeling/science. 2+ years of experience as TLM or EM managing an engineering or applied science team. Strong software engineering and mathematical skills with knowledge of machine learning. In-Office Requirement Statement We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration once a week and therefore needs to be in a commutable distance from one of the following offices: San Francisco / Palo Alto / Seattle Relocation Requirement Statement This position is not eligible for relocation assistance. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$222,716-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started. Our team at Meta Reality Labs is dedicated to exploring new technologies and integrating them into custom image sensors. As an intern, you will have the opportunity to work on projects that push the boundaries of what is possible in the field of image sensors and contribute to the development of AR/VR devices. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in the fields of Electrical Engineering, Computer Science, or related field * Research experience in one or more of the following aspects of Image Sensors: Device physics and fabrication, Analog/mixed signal circuit design, Imaging systems (camera, ISP, algorithm) * Experience with analog/mixed-signal circuit design CAD tools such as Cadence Virtuoso * Successful tape-out and hands-on bench testing experience * Simulation and modeling experience with scripting languages such as Python, Matlab * Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications * 3+ years of experience in circuit design * Tape out experience with advanced technology nodes * Image signal processing experience (noise reduction, HDR processing) * Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in major conferences and journals such as IISW, IEDM, VLSI, ISSCC, JSSC, TED Responsibilities * Investigate and propose novel pixel architectures and sensor architectures * Perform pixel schematic/layout design and simulation in advanced process nodes * Architect and design readout and processing circuits to achieve ultra-low power consumption * Characterize image sensors and experiment with new image sensor operation schemes * Collaboration with and support of other researchers across various disciplines * Communication of research agenda, progress and results About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.Our team at Meta Reality Labs is dedicated to exploring new technologies and integrating them into custom image sensors. As an intern, you will have the opportunity to work on projects that push the boundaries of what is possible in the field of image sensors and contribute to the development of AR/VR devices.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Image Sensor Design and Characterization (PhD) Responsibilities: 1. Investigate and propose novel pixel architectures and sensor architectures 2. Perform pixel schematic/layout design and simulation in advanced process nodes 3. Architect and design readout and processing circuits to achieve ultra-low power consumption 4. Characterize image sensors and experiment with new image sensor operation schemes 5. Collaboration with and support of other researchers across various disciplines 6. Communication of research agenda, progress and results **Minimum Qualifications:** Minimum Qualifications: 7. Currently has or is in the process of obtaining a Ph.D. degree in the fields of Electrical Engineering, Computer Science, or related field 8. Research experience in one or more of the following aspects of Image Sensors: Device physics and fabrication, Analog/mixed signal circuit design, Imaging systems (camera, ISP, algorithm) 9. Experience with analog/mixed-signal circuit design CAD tools such as Cadence Virtuoso 10. Successful tape-out and hands-on bench testing experience 11. Simulation and modeling experience with scripting languages such as Python, Matlab 12. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 13. 3+ years of experience in circuit design 14. Tape out experience with advanced technology nodes 15. Image signal processing experience (noise reduction, HDR processing) 16. Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in major conferences and journals such as IISW, IEDM, VLSI, ISSCC, JSSC, TED **Public Compensation:** $7,313/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Position Summary: As a direct report to Pinterest's VP of Technical Program Management, Strategy, & Operations, the Senior Director of Technical Program Management (“TPM”) - Platforms will be responsible for leading a high-performing team of T/PgMs to execute Pinterest's multi-year platform and infrastructure strategy. This leader will work closely with the VP of Engineering - Platforms and cross-functional teams, including Product and Finance, to ensure the successful delivery of multi-year strategic programs, drive reliability and scalability, and optimize costs. Success in this role requires exceptional leadership, collaboration, and influencing skills, along with a proven track record of delivering significant impact within a fast-paced, high-growth technology platform of substantial scale. What you'll do: Platform Transformation & Strategy: Own and drive the program execution and directly contribute to our multi-year strategy for Pinterest's next-generation infrastructure, impacting hundreds of millions of users and thousands of engineers globally. Executive Partnership: Partner directly with the VP of Engineering and senior executives to influence technology direction, investment priorities, and the platform vision across the company. TPM Team Leadership: Mentor, grow, and empower a world-class TPM team, championing programs that modernize, unify, and elevate the way Pinterest engineers build and deliver. Innovation and Operational Excellence: Provide TPM leadership for bold initiatives in automation, cloud adoption, AI integration, and developer productivity, setting industry standards to enable breakthrough features, significant cost efficiency, and operational excellence. End-to-End Platform Modernization: Provide TPM leadership for the migration to a unified compute environment (PinCompute), the decommissioning of legacy infrastructure, and the standardization of core data and platform systems. Oversee critical platform and data migrations, technical debt elimination, and the adoption of canonical, scalable solutions.Infrastructure Governance and Fiscal Discipline: Define and implement transparent processes for infrastructure spend planning, tracking, and optimization. Collaborate with Engineering and Finance to deploy tooling and dashboards that ensure disciplined, data-driven investment and efficient use of resources. What we're looking for: Strategic Program Leadership: Proven ability to define and drive complex, cross-company, multi-year technology transformation programs with clear, measurable business impact. Technical Domain Expertise: Cloud & Compute: Deep experience with cloud architectures (AWS), Kubernetes, and orchestrating large-scale compute migration and modernization efforts. Data Infrastructure: Extensive knowledge of modern data platforms, governance, privacy, and compliance at scale. Developer Productivity: Proven track record of advancing CI/CD, developer tooling, and workflow automation to significantly increase engineering velocity. Executive Communication & Influence: Exceptional ability to align, communicate, and influence VPs, C-suite executives, and cross-functional partners across both business and engineering. Leadership and Team Building: Strong capability to recruit, mentor, develop, and inspire high-performing TPM teams, fostering organizational growth and capability building. Change and Risk Management: Expertise in leading through technical ambiguity, managing operational change, driving incident response, and ensuring resilient outcomes. Process and Standards: Experience implementing best-in-class process frameworks, documentation, auditability, and operational rigor. Innovation and Future-Readiness: Vision to evaluate and adopt emerging technologies (AI, multi-cloud, automation) to ensure Pinterest maintains its position at the industry forefront. Bachelor's degree in Computer Science, a related field or equivalent experience. #LI-HYBRID #LI-RR4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$268,175-$469,306 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

The Building Engineer I is responsible for maintaining, operating, and troubleshooting building systems, including HVAC, plumbing, and electrical systems, focusing on performing routine maintenance tasks, responding to tenant requests, and ensuring systems operate safely under the guidance of senior engineers. Essential Duties and Responsibilities: Perform scheduled maintenance, repairs, and inspections of building systems; address service requests, including hot/cold calls, plumbing issues, and lighting repairs. Troubleshoot minor equipment malfunctions and escalate issues as needed. Replace light fixtures, filters, and other components as required. Maintain accurate records of inspections and equipment performance. Interact with tenants, contractors, and property managers and work closely with senior engineers and technicians to support smooth building operations and resolve tenant issues. Assist with preventive maintenance tasks and contractor oversight. Conduct property inspections to identify deficiencies. Record equipment readings and ensure assigned building systems are operating according to standards. Follow company safety protocols and wear appropriate PPE; ensure compliance with OSHA, NEC, NFC, NFPA regulations; report safety hazards; participate in safety inspections. Provide guidance to junior Technicians when needed. Communicate verbally and in writing with teammates, leadership team, vendors, tenants, and client employees in a professional manner, keeping the appropriate customer(s) informed/updated as needed. Work closely with senior engineers to develop technical skills and participate in professional development programs to grow into advanced roles. Perform other duties as assigned. Qualifications: HS Diploma or GED required Two to three years of job related experience or commensurate certification/trade experience CFC Certification preferred or willingness to obtain as requested; possess engineering and trade licenses required according to local, state, or national requirements Basic working knowledge of laptop and phone applications for work order and facility operation systems as well as basic skills with Microsoft Outlook Familiar with fire/life safety equipment/procedures Proven track record for delivering excellent internal and external customer service; ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and leadership team Familiarity with blueprints and code requirements Ability to work after hours, weekends, holidays, and during emergency situations as necessary to meet the needs of the client Possess competent knowledge of use and care of tools Ability to read and write English in order to understand manuals and procedures, and to write reports. Exhibit a willingness to develop familiarity with HVAC, electrical, and plumbing systems and gain experience with BAS operation and troubleshooting. Physical Requirements: Ability to stand, walk, climb ladders, and lift up to 50 pounds; perform physically demanding tasks such as stooping, crouching, and kneeling. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Pay Range$32-$35 USD About Lincoln Property Company Lincoln Property Company (“Lincoln”) is one of the largest private real estate firms in the United States. Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-used properties, throughout the United States, United Kingdom, and Europe. Lincoln's combined management and leasing portfolio on behalf of institutional clients includes more than 562 million square feet of commercial space. In addition to providing third-party real estate services, Lincoln has completed over 164 million square feet of development since its inception in 1965 and has another $19.5 billion currently under construction or in the pipeline. For more information, visit: ************ All job offers are contingent on completion of a background check and proof of eligibility to work in the United States. By submitting your information or resume in response to this opportunity, you acknowledge that your personal information will be handled in accordance with the companies privacy policy. Lincoln Property Company does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by Lincoln Property Company to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that Lincoln Property Company will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. At this time, we are not working with any agencies.

Meta Reality Labs is shaping the future of technology and our Industrial Design team is helping bring the next generation of hardware to life. As an Industrial Design Architect, you will use your hands-on Mechanical Engineering skills to create delightful, holistically considered products. A demonstrated mechanical aptitude and in-depth understanding of industrial design will enable you to take things from "outlandish idea" to "plan of record". **Required Skills:** Industrial Design Architect (ME/PDE) Responsibilities: 1. Collaborate closely with the Industrial Design team to develop technical solutions ranging from high-level experience prototypes to detailed, functional designs 2. Drive rapid concept exploration, iterative prototyping, and mechanical implementation of inventive design features and mechanisms 3. Push the state of the art of physical technology integration, component optimization, and manufacturing processes 4. Create and refine effective ways to address complex ergonomic challenges 5. Partner closely with Product Design Engineering and other internal teams to enable design intent and rapidly move projects forward 6. Leverage external partners as needed to implement novel component designs and manufacturing solutions 7. Travel internationally to support manufacturing builds **Minimum Qualifications:** Minimum Qualifications: 8. A bachelor's degree in Mechanical Engineering or equivalent industry experience 9. 5+ years of experience developing high-volume consumer electronics or wearable tech products 10. Expertise in creating high-fidelity mockups, mechanisms, and rapid prototypes 11. Experience designing plastic and metal parts for high volume manufacturing processes 12. Expertise in 3D CAD modeling at the detail and assembly level in NX, Creo, or Solidworks, including complex surfacing 13. Experience working collaboratively with ID, ME, EE, and PM teams 14. Proven communication, visualization, and problem solving skills 15. Excelling in highly ambiguous situations **Preferred Qualifications:** Preferred Qualifications: 16. 7+ years of product design and development experience of handheld and/or wearable electronics for high volume manufacturing, including full systems ownership 17. Experience with highly cosmetic products and working closely with Industrial Design 18. Experience in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, geometric tolerancing 19. Experience leading technical projects and directing development activities 20. Experience defining product-level mechanical architectures **Public Compensation:** $144,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$193,759-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers/ products. We're looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You'll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest's business success. What you'll do: Manage and grow the engineering team, providing technical vision and long-term roadmap Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales - translating business goals into ML requirements and ensuring solutions meet cross-functional needs Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features) What we're looking for: M.S/ PhD degree in Computer Science, Statistics or related field 10+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics and yield optimization Excellent at cross-functional collaboration and stakeholder communication Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$314,580-$550,515 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Meta Superintelligence Labs is seeking a Staff Research Engineer to provide technical leadership for the team working on the next generation of AI Assistants powered by frontier-scale foundation models. This is a high-impact Individual Contributor (IC) role focused on architecting cutting-edge measurement and evaluation paradigms that align fast-moving model development with real end-user value. As a Staff Research Engineer, you will define the scientific "North Star" behind the evaluation flywheel, drive technical success across methodologies, and partner with product, engineering, and model training teams to steer the system toward reliability and trustworthiness at scale. You will act as a technical anchor, influencing the roadmap through scientific rigor and hands-on contribution. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Track record of driving technical strategy and landing large-scale research or product impacts in a time-sensitive environment * Proven technical vision regarding the future trajectory of Generative AI, specifically in how model performance translates to user utility * Expertise in designing and implementing online and offline measurement systems, benchmark building, and data synthesis techniques * Experience leading complex, cross-functional technical initiatives, driving consensus across engineering, research, and product boundaries * Proficiency in Python and deep learning frameworks (e.g., PyTorch), with the ability to prototype and implement complex methodologies Preferred Qualifications * PhD in Machine Learning, Statistics, Econometrics, Causal Inference, Computer Science, or related fields * 8+ years of experience, or PhD + 6 years of hands-on experience in large language models, NLP, and Transformer modeling, within both research and engineering development settings * Significant experience developing comprehensive evaluation frameworks for LLMs, multimodal models, or agentic systems * Expertise in online measurement, user-behavior modeling, counterfactual analysis, and A/B testing platform design * Demonstrated background in AI system benchmarking, Reward modeling, RL, content evaluation, or human-AI interaction * Track record of publication in top-tier conferences (NeurIPS, ICLR, ICML, ACL) or significant contributions to open-source AI ecosystems * Ability to communicate complex scientific concepts clearly to executive leadership and non-technical stakeholders to influence high-level decision-making * Experience building and curating large-scale datasets and ontologies used for training or evaluation Responsibilities * Architect Scientific Strategy: Define and lead the execution of the scientific roadmap for AI Assistant measurement, ensuring methodologies are rigorous, scalable, and aligned with product goals * Innovate & Build: Spearhead the research and development of novel offline and online evaluation metrics, automated benchmarks, and synthetic data generation pipelines to close the loop between model training and deployment * Cross-Functional Technical Leadership: Serve as the primary scientific liaison to pre-training, post-training, and product teams, ensuring that measurement insights directly influence model architecture and training recipes (the "evaluation flywheel") * Mentorship & Influence: Provide technical mentorship and guidance to senior research engineers and applied scientists, fostering a culture of scientific rigor and code without direct management responsibilities * Hands-on Contribution: Remain hands-on in code and research, building prototypes for new evaluation frameworks and validating novel measurement theories About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible. What you'll do: Design, develop, and maintain high-performance, reliable, and scalable backend systems for private profiles, user blocking and other user safety features Collaborate with front-end developers, UX/UI designers, product managers, and other stakeholders to deliver high-quality products Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Participate in code reviews, architectural discussions, and technical roadmap planning What we're looking for: 8+ years of experience in software development, with a strong focus on backend engineering Bachelor's degree in a relevant field such as Computer Science, or equivalent experience Expertise in programming languages such as Python, Java, Go, or Node.js Extensive experience with RESTful API design and development Experience with front-end development Bachelors/Masters Degree in Computer Science or a related field Strong problem-solving skills and the ability to design scalable, high-performance systems In-Office Requirement Statement: This role will need to be in the office for in-person collaboration 1-2 times/per quarter and therefore can be situated in our offices in either Bay Area, Seattle, New York, or Los Angeles. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$208,454-$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences.To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.Meta Robotics Studio is seeking an Electrical Engineer. This role is pivotal in tackling the most novel electrical design problems we face, including designing and developing complex robotics that balance ergonomics, performance, reliability, and usability while maintaining the highest safety and quality standards. This role is part of a team responsible for initial concept development, analytical modeling, prototype design, construction, and testing. **Required Skills:** Electrical Engineer: Robotics Hardware Engineering Responsibilities: 1. Architect and design electrical engineering solutions for the next generation of robotics that include fabrication and assembly of Printed Circuit Boards, Flexible Printed Circuits, and Rigid Flexible Printed Circuits 2. Develop schematics, guide board layout, assemble, test, debug, and integrate multi-component electrical systems using industry-standard simulation and design packages such as SPICE, MATLAB, Altium or Cadence 3. Establish and conduct collaborations with multidisciplinary partners, both internal and external 4. Embrace constant learning, diving into new areas with unfamiliar technologies, and supporting the ambiguity of robotics problem solving **Minimum Qualifications:** Minimum Qualifications: 5. 3+ years of experience in Electrical Engineering, with a proven track record of contributing to the successful inception, ideation, development, and launch of consumer products 6. BS degree or equivalent experience in Electrical Engineering, Computer Engineering or a related field 7. Experience in one or more of the following systems in the context of Robotic systems: Lithium Battery Systems, High Power (>100W) DC/DC Power Conversion and Distribution, DC Motor Controllers and Drivers, Embedded systems (MCU/GPU), Electrical System Integration, positional sensing (encoders, etc), cable harness design, functional safety systems, and control theory 8. Experience with electrical system integration including schematic and layout using industry-standard simulation and design packages such as SPICE, MATLAB, Altium or Cadence 9. Experience with electrical design verification using standard test and measurement equipment (Oscilloscope, LCR, DMM, Electronic Load, etc) 10. Experience working collaboratively with cross functional Engineering, Safety, Manufacturing, and external partners 11. Experience hands-on in lab assembling and testing systems, including soldering, crimping, and basic mechanical assembly 12. Experience innovating and solving complex design problems **Preferred Qualifications:** Preferred Qualifications: 13. Experience defining and coordinating test procedures in a lab and factory environment to facilitate system bring-up and evaluation 14. MS or equivalent experience in Electrical Engineering, Computer Engineering or a related field 15. Experience with vendor engagement and relationship management, including co-design and customization of existing commercial technologies 16. Experience with signal and power integrity 17. Design for Compliance certification and EMI/EMC theory 18. 5+ years of experience in research or advanced development incubating new tech and guiding them through to product transfer 19. Experience in full Robotics and consumer electronic product design 20. Experience programming in other languages like Python/Java/C#/C++/C, creating initial system bring-up, debugging, and test code 21. Experience with electrical and operational safety controls and procedures **Public Compensation:** $144,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are looking for a Data Center Planning Manager, with experience in developing infrastructure strategies and programs to join the Strategic Planning Team. In this role, you'll be part of the team that builds Meta's global data center capacity roadmap and develops infrastructure scaling strategies that set the direction for one of the fastest growing infrastructures in the world and enables Meta's Artificial General Intelligence goals. As a Data Center Planning Manager, you will be accountable for driving investment decisions that cover billions of dollars and help scale our data center footprint efficiently to meet our AI goals as well as growing product and service needs. This is a unique opportunity where you will be responsible for developing and leading transformational strategic initiatives from inception, driving recommendations to executive leadership, and bringing them through implementation. This is an individual contributor role, where you're at home rolling up the sleeves and being in the details, as well as thinking big picture, project manage complex initiatives, and partner with teams to challenge the status quo. This role will look for sound experience in large scale infrastructure/hardware planning and technical project management, driving transformational planning and capacity initiatives, and an understanding of servers, networks, and data center operations. This is a highly cross functional role where you will be expected to partner with our data center capacity stakeholders (capacity engineering, network engineering, construction, site selection, network, finance). Minimum Qualifications * Undergraduate degree in Computer Science, Operations Research, Supply Chain Management, Computer Science, Electrical Engineering, Mechanical Engineering, or Chemical Engineering * 12+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy Consulting, Capacity Planning, Supply Chain Planning * Experience in completing multiple cloud/infrastructure/hardware efficiency or optimization projects * Technical experience in infrastructure, hardware or similar designs * Experience collaborating and working with internal and external organizations and individuals * Bachelor's degree in a directly related field, or equivalent practical experience Preferred Qualifications * Masters Degree or MBA Responsibilities * Leverage technical skills and expertise, to Identify and build large transformational programs and initiatives across Infrastructure that scale Meta's Data Center footprint efficiently * Develop new Data Center planning strategies that focus on meeting Meta's Artificial General Intelligence goals through AI deployments, improvements in reliability, cost and operational efficiency, improvements in data center power utilization, and service placement optimizations * Develop detailed project evaluation plans for data center plan changes and set the pace to drive closure * Own the communications strategy for data center planning changes which include executive level and detailed project briefs and status updates * Use technical judgment to drive new project evaluations, technology reviews, challenge proposals and build consensus About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What you'll do: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for: 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$189,721-$332,012 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Meta is seeking a Research Scientist Intern to develop next generation AR displays with the use of optical and electromagnetic simulations and lead prototyping efforts to prove proof of principle concepts.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Nano-photonics Design (PhD) Responsibilities: 1. Develop next generation AR displays with the use of optical and electromagnetic simulations and lead prototyping efforts to prove proof of principle concepts. 2. Collaborate with the larger Meta Reality Labs Research team to explore novel solution space for AR devices. 3. Explore applications of active photonic integrated circuits and similar nano-photonic devices in simulatoin or with experiments to develop a near eye display. 4. Publish research results in internal organizations, conferences, patents and contribute to research that can be applied to Meta product development. **Minimum Qualifications:** Minimum Qualifications: 5. Currently has or is in the process of obtaining a PhD degree in Physics, Mathematics, Optical Science and Engineering, Electrical Engineering, Computational Imaging, Material Sciences or relevant technical field 6. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 7. 2+ years experience in at least two of the following areas of optical research: Fundamental electromagnetics, Wave optics, polarization optics, geometrical optics, Ray tracing, Optical bench top experiments 8. 2+ years experience with wave optics and geometric optics design programs 9. 2+ years experience with experimental optics and conducting laboratory work (i.e., demonstrated ability to construct proof-of-concept systems and to evaluate performance) 10. Intent to return to a degree-program after the completion of the internship/co-op **Preferred Qualifications:** Preferred Qualifications: 11. Experience working and communicating cross functionally in a team environment 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences such as CLEO, SID, SPIE, Optica, etc 13. Experience with nano-photonics solvers (e.g. RCWA, FDFD) and simulation software (Lumerical, meep, or similar) 14. Experience with inverse design for photonic devices **Public Compensation:** $7,313/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This internship role will be based out of Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Are you interested in Backend Development? We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. You will utilize distributed systems and algorithms and perfect your strong systems orientation skills (multi-threading, concurrency, scalability, performance). You will understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. Candidates must be currently enrolled in a master's degree program, with an expected graduation date December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions May 26th, 2026 - August 14th, 2026 June 15th, 2026 - September 4th, 2026 The ideal intern candidate will help scale LinkedIn's infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below Data Infrastructure: Build and support large scale systems (e.g. Apache Kafka, Apache Samza, Hadoop, Pinot, Espresso, Ambry, Helix etc.) and tools that enable the generation of insights and data products on all of LinkedIn's internal and external data via self-serve computing, reporting solutions, and interactive querying Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn- which responds to thousands of queries per second with target latencies in tens of milliseconds. The platform runs in 24/7 production environment and enables search quality engineers to rapidly innovate, experiment and improve relevance- while at the same time remaining constantly available and performant to our users Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content Qualifications Basic Qualifications: • Currently pursuing a MS Degree in Computer Science, or related technical field and returning to the program after the completion of the internship. • Programming experience in one or more of the following languages: Java, C/C++, C#, Python, or Ruby. • Knowledge of core computer science concepts such as object-oriented design, algorithm design, data structures, problem-solving, and complexity analysis Preferred Qualifications: • Experience working in a short-cycle, agile, iterative development team. • Knowledge of computer science, with strong competencies in data structures, algorithms, software design, and object-oriented skills. Suggested Skills: • Distributed Systems • Operating Systems • Cloud Computing As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $60-$70. 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. 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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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ******************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************