Pinterest jobs in Seattle, WA - 792 jobs

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.

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 tech company is seeking a Head of Video, Technical and Lifestyle Services in Seattle, WA. The ideal candidate will have a strong background in digital advertising, with 15+ years in sales and experience in video solutions. Responsibilities include managing a team, fostering relationships with key accounts, and strategically driving business growth. A Bachelor's degree is required, along with excellent communication skills. This role offers a competitive salary between $173,000 and $243,000, along with bonuses and equity. #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. 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.

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. As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics. 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 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're looking for: Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data Experience in research and in solving analytical problems Strong communicator and team player with the ability to find solutions for open-ended problems. Preferred Qualifications: Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields Interest in research and in applying ML to impactful real-world problems on the Pinterest product 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 $12,100 monthly. #LI-HYBRID #LI-EB1 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 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.

Meta is seeking a highly skilled Security GRC Program Manager to join our Risk Organization's Governance, Risk, and Compliance (GRC) pillar. This role is pivotal in providing second-line oversight of Meta's security risk management and compliance across multiple business units, regulatory entities, and governance forums. As a senior individual contributor, you will drive strategic risk initiatives, proactively identify and solve complex, ambiguous problems, and set a compelling vision for the team and organization. You will be expected to influence outcomes at the highest levels, build strong networks, and champion innovation and best practices in risk management. This role operates within and in support of Meta's unified Security Governance, Risk, and Compliance program. You will align your work with Meta's canonical security framework and three strategic principles: protecting against top security risks, maturing core security capabilities at scale, and enabling the company to move fast securely. This position offers the opportunity to shape Meta's security risk posture, collaborate with leaders across Security, Product, Engineering, and Legal, and deliver meaningful impact on Meta's ability to meet global regulatory requirements and business objectives. You will operate with significant autonomy, regularly leading cross-functional initiatives and driving company-wide impact through thought leadership and strategic execution. Minimum Qualifications * Significant experience as a leader and contributor in security risk management and compliance, including providing second-line oversight * Strong track record of operating effectively and influencing outcomes with Engineering, Product, GRC, and Legal partners * Extensive experience with Governance, Risk, and Compliance (GRC) and Legal functions * Deep expertise in security, with the ability to holistically understand relevant issues, partners, and products, and go deep on technical details * Proven ability to identify critical issues, balance competing priorities, translate technical and regulatory concepts for diverse audiences, and personally drive initiatives to completion * In-depth knowledge of complex global regulatory requirements (e.g., GDPR, SEC, PCI-DSS, NYDFS) * Demonstrated ability to build strong formal and informal networks with key influencers and decision makers inside and outside the company * Experience working in integrated privacy-security environments or familiarity with unified GRC frameworks across multiple risk domains Preferred Qualifications * Advanced degree in a relevant field * Experience integrating best practices from other GRC domains (Integrity, Privacy) * Recognized as a thought leader in risk management, with experience influencing external stakeholders and policies * Experience working in a fast-paced tech environment * Proven ability to operate hands-on across orgs and functions * Understanding of Meta's canonical security framework and experience with risk-based prioritization methodologies such as Security Prioritization Framework (SPF) Responsibilities * Lead and deliver on deeply complex, high-impact projects that shape Meta's risk profile and business trajectory. * Proactively identify long-term, critical, and ambiguous problems, setting a clear vision and strategy for risk management in alignment with company goals. * Partner with Central Security teams to analyze, streamline, and consolidate issues and risks from all sources (1LoD, 2LoD, 3LoD, external) into a clear, prioritized list for first-line-of-defense consumption and actioning. * Integrate security risk management with Meta's Security Prioritization Framework (SPF) and contribute to capability maturity assessments to drive risk-based prioritization across the organization. * Define and maintain clear interfaces and points of contact with the Security organization and other key partners, ensuring efficient governance and communication. * Prepare regular updates and compliance documents to ensure Meta meets board and regulatory obligations, adapting processes and strategies to evolving regulatory and business environments. * Drive cross-org execution, collaborating with Risk, Security, Legal, Product, and Engineering functions to deliver results and maximize impact. * Champion organizational efforts to build and sustain diversity, culture, recruitment, onboarding, mentoring, and development programs, serving as a role model and mentor for others. * Integrate learnings and best practices from/to sister 2LoD organizations (e.g., Integrity GRC, Privacy GRC), and partner with Product & Engineering teams on necessary second-line-of-defense tooling within the unified GRC framework. 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.

Protecting Meta's data and workforce is an explicit top priority for the company. We are part of Security Foundations within the Cross-Meta Security team, dedicated to building and supporting the critical security components of our infrastructure.Our mission is to prevent security incidents for Meta and its users efficiently at scale.Our vision is to provide the best in class internal protection of user data and company resources by focusing on building robust and scalable identity, authentication, and access management infrastructure that addresses top risks.The TeamThe team is responsible for right-sizing access control across the company, and enforcing those access controls across all Meta services.The team is developing systems which can analyze patterns of access to company assets, make recommendations about appropriate access models, and automatically apply changes to access control at scale.The team also owns services and libraries that support authentication and authorization across Meta infrastructure. These services and libraries support roughly ~2.3B authentication events a second, and ~20B authorization checks a second. The services and libraries sit on critical paths for Messaging, GenAI, IG, WhatsApp, and most services running within Meta infrastructure.The RoleAI will change the way that we work, and how Access Management is done within Meta. This role will help bootstrap our overall ML team within the IAM space, and explore ways AI can help us right-size access throughout Meta. Areas of exploration include:* Access Recommendations: Building ML models that can intelligently recommend appropriate access levels based on role, team, project needs, and security requirements.* Access Review Assistance: Developing AI tools to help streamline and enhance the access review process, identifying anomalies and potential security risks.* Access Configuration Assistance: Creating intelligent systems to assist with configuring complex access patterns and permissions across Meta's infrastructure. **Required Skills:** AI Specialist, Identity and Access Management (IAM) Responsibilities: 1. Help advance the science and technology of intelligent machines 2. Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short and medium term objectives 3. Influence progress of relevant research communities by producing publications 4. Establish connections with cross-functional partners and contribute research with the goal of applying to Meta's product development 5. Lead and collaborate on research projects within a team 6. Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems 7. Apply in-depth knowledge of how the machine learning system interacts with the other systems around it **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 9. Experience leading a team in solving modeling problems using AI/ML approaches 10. Experience in applying research to production problems 11. Experience communicating research for public audiences of peers 12. 12+ Years Experience in developing and debugging in Python, C/C++, or C# 13. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 14. 4+ years of experience as technical lead for a project of 4 or more individuals 15. Experience with interdisciplinary and/or cross-functional collaboration 16. Experience bringing machine learning-based products from research to production 17. Highly experience in analytical and problem-solving skills, including a basic understanding of data analysis techniques 18. Good grasp of SOX, SOC2, NIST, PCI, ISO, and other security regulations 19. Experience in the IAM (Identity and Access Management) domain in a cloud based infrastructure environment 20. Program and project management skills **Public Compensation:** $219,000/year to $301,000/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.

A leading technology company in Seattle is seeking a Software Engineer Manager to provide technical leadership and manage teams in cloud security and identity management. The role involves mentoring engineers, driving innovative technical projects, and collaborating with multifaceted teams across the Google Cloud Platform. Candidates should possess a Bachelor's degree and significant experience in software development, people management, and cloud services. Competitive salary, bonus, and equity opportunities are offered, alongside comprehensive benefits. #J-18808-Ljbffr

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.

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.

Meta is seeking an Inventory Operations Lead to join the Infrastructure Supply Chain and Engineering (ISCE) team to focus on inventory operations optimization for all of Meta's infrastructure (Servers, Data Centers, Network) supply chain. This role will focus on optimizing supply chain operations at variance altitudes to balance delivery, flexibility, supply competence, and cost, from base components through manufacturing to finished goods, in an environment of continual product introduction, directly managing billions of investment annually. We will do this primarily by building software and mathematical optimization models, and automated tracking of key performance metrics to drive desired strategic and operational outcomes. The team is uniquely positioned to develop and optimize our infrastructure supply chain operations at the most strategic levels with company level impact. This role is very cross-functional and provides an opportunity to work with our supply chain partners and a variety of engineering and business teams to power the rapid growth of Meta's products. This role will help to ensure optimal deployment and operation of our infrastructure from both a cost and technology perspective, with millions of servers, gigawatts of data center capacity, and cutting-edge technology including Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 10+ years of experience in operations research, industrial engineering, supply chain management, inventory or related field * 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP * Experience working with distributed systems at scale * Experience in infrastructure operations and technical infrastructure knowledge * Experience in supply chain operations optimization * Experience working with cross-functional teams * Experience managing ambiguity, with a drive for continuous learning Preferred Qualifications * Masters or Ph.D. degree in Operations Research and/or Industrial Engineering * 12+ years of technical and manufacturing operations experience in the hardware systems industry * Proven experience interfacing with and establishing relationships with management at suppliers or customers * Experience transforming business systems, models, and achieving results relative to goals. Demonstrated skills questioning the norm, thinking out-of-bounds, and delivering * Experience interfacing with internal & external partners in a cross-functional environment, requiring autonomous judgment while coordinating people and technical resources Responsibilities * Own infrastructure supply chain inventory operations for Meta (as part of Meta's overall capacity delivery plan): including servers, network, and data center equipment from components through manufacturing to finished goods * Design improvements to software systems to optimize inventory operations efficiency and accuracy, partner with software engineers to implement and contribute code yourself * Develop and analyze business, manufacturing, and logistics data and scenarios to solve complex problems in manufacturing operations and hardware logistics and delivery * Develop and apply stochastic models to simulate complex manufacturing systems, including production capacity, throughput, and material flow * Analyze simulation results to identify bottlenecks, optimize production, and improve overall system performance * Contribute to end to end supply chain processes (as part of Meta's overall capacity delivery plan), methodologies, and data to deliver an executable and optimized supply plan * Manage and resolve critical escalations and exceptions in all areas of the supply chain * Build mathematical models to perform simulation and optimization studies of manufacturing flow & capacity considering material inputs, supply partners, and logistics * Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels 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.

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently.PEs work across Meta's product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide.Our PEs are embedded in teams across the spectrum, from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds. Working alongside some of the best engineers in the industry, you'll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we navigate uncharted waters daily - solving problems at a scale few others face. **Required Skills:** Production Engineer, Intern Responsibilities: 1. Own back-end services which handle fleet management, front-end services such as WhatsApp / Instagram / Facebook / Meta Ads, infrastructure components that drive Meta's advances in AI, core services which are used by every team at Meta, the world's largest MySQL deployments, networking systems and everything in between 2. Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world 3. Partner alongside the best engineers in the industry working on the coolest stuff around, the code and systems you work on will be in production and used by billions of people all around the world **Minimum Qualifications:** Minimum Qualifications: 4. Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors or Masters degree in computer science or a related field 5. Experience in a *nix (Linux, BSDs, Solaris, or another UNIX-like OS) or Windows OS 6. Experience coding in at least one language 7. 1 or more years with new development languages (Python, Hack/PHP, C++, Java, Rust, and GoLang) 8. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 9. Intent to return to full-time degree program after completion of the internship **Preferred Qualifications:** Preferred Qualifications: 10. Understanding of TCP/IP networking fundamentals 11. Knowledge of internet service architectures (such as load balancing, LAMP, CDN's) **Public Compensation:** $7,313/month to $11,293/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.

Meta Reality Labs Research is looking for upcoming scientists and researchers with great interest in designing, modeling, and prototyping advanced vision systems for real-time, low-power, always-on processing. The goal of this role is to optimize the full-stack vision system spanning from the image sensor, device processors, cloud computation, and corresponding algorithms. Ideal candidates will have a comprehensive understanding of computational imaging, distributed computation, computer vision, and machine learning algorithms.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Computational Photography & Computer Vision (PhD) Responsibilities: 1. Support research activities focused on computational photography, end-to-end camera system optimization, and low-level vision tasks 2. Participate in the development of proof of concept and prototype visual sensing systems 3. Interact with cross-functional engineering teams to demonstrate novel imaging systems and camera hardware **Minimum Qualifications:** Minimum Qualifications: 4. Currently has, or is in the process of obtaining a PhD in the fields of Computer Science, Electrical Engineering, Machine Learning, Computer Architecture, or related field 5. 2+ years of coding experience with programming languages such as Python/Pytorch 6. Advanced experience with computer vision (CV) and modern deep learning research, including algorithm development and optimization 7. Demonstrated understanding and hands-on experience with computational imaging including but not limited to: image denoising, HDR imaging, super-resolution, deblurring, frame interpolation, etc 8. 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: 9. Experience with lightweight machine learning on embedded systems, including model optimization and deployment 10. Experience with the full machine vision pipeline spanning cameras, ISPs, and high-level algorithms 11. Proven track record of achieving significant results in CV and ML research, as demonstrated by publications, grants, or fellowships 12. Intent to return to degree-program after the completion of the internship/co-op **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.

Join Meta Reality Labs and help define the next generation of Wearables and Mixed Reality experiences. Our Display, Optics, Camera, Depth and Sensors team is pioneering advanced optical systems that seamlessly merge physical and digital worlds, bringing reality through cutting-edge wearable technology. In this team we work on developing breakthrough solutions for see-through and immersive systems, designing comprehensive test frameworks, characterization protocols, and metrology solutions that ensure our displays and optical components meet the highest performance standards. Our teams seamlessly transition between strategic system-level thinking and precision-focused implementation, maturing our architectures from early concepts to production-ready designs. As a core team member, you'll explore uncharted territories for next-generation wearable devices and you will collaborate closely with cross-functional teams spanning cameras, sensors, depth perception, optics, and displays, translating visions into tangible engineering solutions. **Required Skills:** Lead Optical Engineer Responsibilities: 1. Lead cross-functional teams in the design, development, and implementation of cutting-edge optical solutions for new optics architectures, utilizing novel materials and processes 2. Identify, incubate, and productize optical technologies that have the potential to revolutionize the field of wearable optics 3. Specify key performance metrics, test methods, and test requirements for optical components and systems 4. Develop and maintain technical roadmaps 5. Interface with stakeholders and leadership to influence product roadmaps 6. Stay updated on industry trends, emerging technologies, and competitor activity 7. Manage budgets, resources, and collaborations with global vendors **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline 9. 8+ years of industry experience with a proven track record of full product development cycle in consumer electronics or similar related field 10. Experience and expertise in these areas or similar related technologies: optical design software, geometrical optics, wave optics, and polarization optics, optical materials, coatings, and manufacturing processes, Imaging optics design and manufacturing, display optics, optical sensing, optical system integration and testing 11. Technical leadership, communication, and project management skills 12. Problem-solving, analytical, and critical thinking skills **Preferred Qualifications:** Preferred Qualifications: 13. Advanced degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline 14. 10+ years of industry experience with 5+ years in a technical leadership or engineering management role 15. Experiences in Virtual Reality, Mixed Reality, and Augmented Reality industry **Public Compensation:** $173,000/year to $245,000/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.

Reality Labs is shaping the future of consumer electronics in the fields of Augmented Reality and Virtual Reality. As Product Visualization Specialist, you will partner with industrial design and marketing to create world-class, photorealistic product imagery that pushes the state-of-the-art in rendering and styling. You bring visual storytelling and industry leading hands-on rendering and 3D skills together to create delightful brand-building digital product photography, artworks and animations. You will be part of a vibrant team of artists, to collaboratively explore and deliver the product imagery of the future. **Required Skills:** Product Visualization Specialist Responsibilities: 1. Create state-of-the-art imagery of category-defining products 2. Help create the visual language of our brand through imagery 3. Work collaboratively with multiple cross-functional teams on complex multi discipline programs 4. Conceive elegant, effective ways to showcase our products, highlight features, and inspire consumers 5. Lead/own imagery needs with a combination of internal and external resources **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in design, motion design, art/animation or related field 7. 5+ years of experience in product rendering, 3D animation, 3D art or a related field 8. 2+ years experience of rendering and lighting consumer electronics or wearable tech products 9. Demonstrated expertise in product animation with a solid skill set ranging from concepting and storyboarding to final rendering 10. Domain experience in rendering process from polygon optimization through raytracing 11. Experience working with 3D CAD data 12. Experience in a physically-based rendering program(s) (Redshift, Octane, V-Ray, Arnold, Corona, etc.) **Preferred Qualifications:** Preferred Qualifications: 13. Experience working within Cinema4D, Redshift, Photoshop, After Effects 14. Expertise in creating and animating VFX (Houdini and/or Cinema4D) 15. Expertise in leading the look and feel of a project 16. Clear understanding of the notions of Metaverse, VR/AR/MR 17. Great knowledge of branding and marketing best practices **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.

At Meta Reality Labs, we are developing the future of Wearables and Mixed Reality products. This team focuses on developing display and optics technologies for Meta products, creating see-through display systems that seamlessly blend the real and virtual realms. The role involves designing architecture and display sub-systems for wearable glasses, developing and implementing test, characterization, metrology, and data solutions to support transparent display systems. We're seeking an experienced Engineer to join our Reality Labs team, where you'll play a pivotal role in shaping the future of wearables. As a key member of our team, you'll explore innovative architectures and design spaces for our wearable devices, develop and analyze components, and drive detailed analysis. In this role, you will be part of a dynamic environment where you will consistently switch between high-level thinking and meticulous attention to detail to mature our architectures and designs. Minimum Qualifications * Bachelor's degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline * 6+ years of industry experience with a proven track record of full product development cycle of Consumer Electronics * Experience and expertise in these areas: optical design software, geometrical optics, wave optics, and polarization optics, optical materials, coatings, manufacturing processes, Imaging optics design and manufacturing, display optics, optical sensing, optical system integration and testing * Technical leadership, communication, and project management skills * Problem-solving, analytical, and critical thinking skills Preferred Qualifications * Advanced degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline * In-depth knowledge of electromagnetic modeling techniques, such as the finite element method (FEM), finite-difference time-domain (FDTD), and rigorous coupled-wave analysis (RCWA) * Experience working with optical design software such as Meep, Lumerical, LightTools, Zemax, Code V, FRED, or similar * Experience in building predictive optical models, validating designs and models with metrology data, and closing the loop between simulations and measurements * Experience using scripting languages and data analysis tools such as Python, JMP, or MATLAB * Experience working with external vendors to deliver custom optical components, modules, or systems, involving challenging optical requirements to drive innovative fabrication process development, and new opto-mechanical integration and metrology techniques * Process development and failure analysis experience for optical components and modules such as cameras, sensors, or illumination/projector systems * Experience in developing optical modules or systems in highly multidisciplinary environments, including setting specifications, determining test methods, and overall module and system integration Responsibilities * Lead cross-functional teams in the design, development, and implementation of cutting-edge optical solutions for new optics architectures, utilizing innovative materials and processes * Identify, incubate, and productize optical technologies that have the potential to revolutionize the field of Wearable optics * Specify key performance metrics, test methods, and test requirements for optical components and systems * Develop and maintain technical roadmaps * Interface with stakeholders and leadership to influence product roadmaps * Stay updated on industry trends, emerging technologies, and competitor activity * Manage budgets, resources, and collaborations with global vendors 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 designs, builds, leases, and operates the most leading-edge and efficient data centers in the world. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring high uptime, capacity availability, flexibility and capital and operational cost efficiency. Meta is seeking an experienced, organized, and collaborative Site Selection Manager - Leasing to join the Data Center Site Selection team. We are seeking a Data Center Site Selection Manager who has extensive experience negotiating large, complex leasing deals and an extensive knowledge of the legal agreements that accompany them. The Data Center Site Selection Manager should also have experience thinking both strategically and analytically, develop out-of-the box solutions and can navigate the challenges that accompany leasing projects and portfolios of large magnitude. Minimum Qualifications * Bachelor's degree in a business, engineering, environmental, or energy related discipline * 8+ years experience in facilitating, evaluating, or managing data center capacity projects * Experience leading large scale data center lease negotiations * Experience working with detailed financial models of data center projects and transactions, identifying key risks and sensitivities, and leading all related due diligence efforts (financial, commercial, technical, development) * Experience collaborating across multiple internal functions, including legal, compliance, finance, and accounting * Experience representing business interests to the leadership teams of potential suppliers, strategic markets, energy suppliers and other stakeholders * Proven precise communication skills * Experience synthesizing commercial, regulatory, market, and contractual details to all organizational levels * Experience managing multiple projects and collaborating with internal staff, lease providers, and external stakeholders * Proficiency in standard document and analytics platforms * Proven track record building and running leasing programs * Familiarity with various lease structures (Modified Gross, NNN, YoC, etc.) Responsibilities * Lead data center acquisition and lease contracting negotiations * Perform technical due diligence and validate site viability across energy, land, etc * Manage supplier relationships and best practices * Perform market analysis and develop leasing site selection strategy * Stay informed of the technical, market, and regulatory developments in the data center industry * Contribute to organizational strategy and development of leasing standards at Meta * Travel domestically (10-25% at times) 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.