Meta jobs in Seattle, WA - 4406 jobs

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.

A leading technology company is looking for a Manager of Security Services to drive the evolution of their security service portfolio in Seattle. The ideal candidate will possess technical expertise in service delivery management along with leadership skills to inspire cross-functional teams. Key responsibilities include developing service catalogs, establishing service standards, and conducting maturity assessments. This position offers competitive compensation between $197,800 and $297,300, as well as a variety of benefits including medical coverage, educational reimbursement, and stock options. #J-18808-Ljbffr

A leading technology company seeking a passionate Machine Learning Engineer to work on foundation models in Seattle. The role involves building systems for deep learning applications, where innovative ideas enhance user experiences across products. Ideal candidates will have strong programming skills in Python, experience deploying large models, and a PhD in a related field. This position offers competitive salary, comprehensive benefits, and stock options, emphasizing a collaborative environment for tackling complex challenges. #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

Seattle, Washington, United States Corporate Functions Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We're a diverse collection of problem solvers and doers, continually reimagining our products, systems, and practices to help people do what they love in new ways. This is a deeply reciprocal place, where everything we build is the result of people in different roles and teams working together to make each other's ideas stronger. That same real passion for innovation that goes into our products also applies to our practices, strengthening our dedication to leave the world better than we found it! We are seeking a leader for our Security Services team. This role requires a strategic, results-driven leader to advance our security services portfolio while ensuring delivery excellence, operational efficiency, and exceptional customer outcomes. In this role, you will drive the evolution, optimization, and continuous improvement of security offerings, aligning capabilities with business objectives and emerging security needs. The ideal candidate brings a strong blend of security or technical expertise, proven people leadership, and a customer‑centric mindset. We are seeking a strategic and results-oriented leader in Service Delivery to drive and advance our security service portfolio, ensuring consistent delivery excellence, operational efficiency, and customer satisfaction. This role will drive the evolution, optimization, and continuous improvement of our security service offerings, aligning capabilities with business objectives and emerging security needs. The ideal candidate will possess a strong blend of technical or security expertise, leadership skills, and a customer‑centric approach. Description The Manager, Security Services will be responsible for influencing and driving transformational change to across the organization. This is an opportunity to play a key role in shaping the future of our security service offerings. You must be passionate about service excellence and continuous improvement. Responsibilities Service Catalog Management: Develop and maintain a comprehensive service catalog that clearly defines and describes all available services, ensuring alignment with business objectives, customer and security needs. Service Standards Design: Establish and implement service standards that ensure consistent quality and performance across all service offerings. Maturity Assessments & Roadmaps: Conduct maturity assessments to evaluate current service capabilities and develop strategic roadmaps for continuous improvement. Performance Metrics Establishment: Work across teams to monitor key performance indicators (KPIs) to assess service effectiveness, efficiency, and customer satisfaction. Minimum Qualifications Demonstrated ability to manage, lead, and inspire teams while driving transformational organizational change Expertise with service delivery management; overseeing the end-to-end delivery of managed services Experience leading teams in a matrixed environment including working with security engineering, engineering managers, software developers, and other cross‑functional teams Strong problem solving skills; with the ability to lead through ambiguity to deliver incremental value to our customers Exceptional communication and presentation skills Preferred Qualifications Experience in leading an MSP (managed service provider) or MSSP (managed security service provider) organization Expert knowledge of service management frameworks (e.g. ITIL) and security best practices. CISSP and related security certifications is a plus At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $197,800 and $297,300, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading technology company in Seattle seeks an experienced Machine Learning Engineer to develop and deploy cutting-edge AI models. This role emphasizes building robust ML infrastructure and automating pipelines for data and model management. Ideal candidates will have over four years of experience in machine learning and proficiency in programming languages like Java or Python. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth. #J-18808-Ljbffr

Meet the Team We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real‑world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems. This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you're energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you'll feel right at home. Your Impact Design and build agentic workflows that combine detection signals, context, and playbooks to automate threat triage and response. Prototype and test new AI features -from enrichment agents to incident summarization-working closely with security SMEs to validate real-world utility. Develop an AIOps pipeline to enable rapid experimentation with prompts, models, and RAG systems, using clear, measurable success criteria to evaluate iterations. Evaluate model outputs for accuracy, reliability, and usability, then prototype and deploy improvements based on structured feedback and testing. Collaborate with product and platform teams to co‑design AI‑enhanced TDIR workflows that are intuitive, scalable, and immediately useful to analysts. Contribute to the core architecture powering AI‑native security operations, helping to shape how Splunk and Cisco scale trusted automation across the enterprise. Minimum QualificationsSecurity: Security Operations Experience - Understanding of security operations concepts, including detection, triage, investigation, and response. Security Telemetry Fluency - Comfortable working with common data sources such as endpoint logs, network traffic, authentication events, or cloud audit trails-and understanding how they're used in detection and investigation workflows. Engineering Experience: Senior‑Level Python Development - Consistent record building scalable backend services, APIs, and automation workflows in Python. DevOps/SecOps Practices - Proficient with CI/CD pipelines, version control (GitHub/GitLab), Jira, and automated testing frameworks. Security Automation - Experience building and integrating with product APIs to drive SecOps efficiency. Cross‑Functional Collaboration - Comfortable partnering with product managers, security SMEs, and engineers to iterate quickly and deliver impactful solutions. AI/LLM: Prompt Engineering & LLM Integration - Skilled in crafting, testing, and optimizing prompts for large language models. Ideally, you have contributed to or shipped an AI‑powered feature or product, and understand the nuances of integrating LLMs into real‑world workflows-including usability, performance, and trust considerations. AI Evaluation & Experimentation - Capable of designing experiments to evaluate LLM output for accuracy, usability, performance, and cost Preferred Qualifications SOAR/SIEM Familiarity - Experience working with security data and/or tools such as SIEM/SOAR platforms (e.g., Splunk), whether from a practitioner, developer, or automation perspective. Splunk Enterprise Security (ES) Experience - Familiarity with ES architecture, correlation searches, notables, and risk‑based alerting. Bonus if you've worked with Splunk's APIs, internals, or have experience developing on the Splunk platform. Security Operations Background - Former Tier 3 SOC analyst or equivalent, with experience automating SecOps workflows and building scalable, resilient detection infrastructure. RAG and Vector Search Implementation - Hands‑on experience developing retrieval‑augmented generation pipelines and working with vector databases (e.g., FAISS, Pinecone). LLM Fine‑Tuning and Embeddings - Exposure to fine‑tuning large language models or generating custom embeddings for domain‑specific tasks in cybersecurity. Security Data Engineering - Experience building and maintaining pipelines for ingesting, parsing, and normalizing large‑scale security telemetry. UX and Human Factors for Analysts - Background or interest in designing intuitive, AI‑assisted analyst workflows with a focus on usability, trust, and decision support. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $291,500.00 to $369,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $291,500.00 - $424,400.00 Non‑Metro New York state & Washington state: $259,400.00 - $377,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affidavit Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A leading technology firm in Seattle is seeking a Software Engineering Manager for Observability & Resource Management. In this role, you will lead a team dedicated to improving Apple's cloud infrastructure systems and platforms. The ideal candidate will have significant experience in managing teams, cloud technologies, and distributed systems. This position offers a salary range of $188,200 to $283,200, plus additional compensation and benefits. #J-18808-Ljbffr

A leading technology company in Seattle seeks an experienced Machine Learning Engineer to enhance user experience in products like Siri and Spotlight. This role involves applying machine learning techniques for information services and requires strong software engineering skills. The ideal candidate holds an MS in Computer Science with 5+ years in the field, utilizing tools like PyTorch and TensorFlow. Competitive compensation and comprehensive benefits are provided, including opportunities for employee stock programs. #J-18808-Ljbffr

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 firm in Seattle seeks a Machine Learning Engineer to optimize inference for advanced model architectures. You will build solutions serving millions of customers, mentor engineers, and work with cutting-edge technologies. This role requires strong leadership, cloud application knowledge, and GPU programming expertise. A competitive compensation package, including stock options and comprehensive benefits, is offered. #J-18808-Ljbffr

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 **Required Skills:** Inventory Operations Lead Responsibilities: 1. 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 2. Design improvements to software systems to optimize inventory operations efficiency and accuracy, partner with software engineers to implement and contribute code yourself 3. Develop and analyze business, manufacturing, and logistics data and scenarios to solve complex problems in manufacturing operations and hardware logistics and delivery 4. Develop and apply stochastic models to simulate complex manufacturing systems, including production capacity, throughput, and material flow 5. Analyze simulation results to identify bottlenecks, optimize production, and improve overall system performance 6. 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 7. Manage and resolve critical escalations and exceptions in all areas of the supply chain 8. Build mathematical models to perform simulation and optimization studies of manufacturing flow & capacity considering material inputs, supply partners, and logistics 9. 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 **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. 10+ years of experience in operations research, industrial engineering, supply chain management, inventory or related field 12. 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP 13. Experience working with distributed systems at scale 14. Experience in infrastructure operations and technical infrastructure knowledge 15. Experience in supply chain operations optimization 16. Experience working with cross-functional teams 17. Experience managing ambiguity, with a drive for continuous learning **Preferred Qualifications:** Preferred Qualifications: 18. Masters or Ph.D. degree in Operations Research and/or Industrial Engineering 19. 12+ years of technical and manufacturing operations experience in the hardware systems industry 20. Proven experience interfacing with and establishing relationships with management at suppliers or customers 21. Experience transforming business systems, models, and achieving results relative to goals. Demonstrated skills questioning the norm, thinking out-of-bounds, and delivering 22. Experience interfacing with internal & external partners in a cross-functional environment, requiring autonomous judgment while coordinating people and technical resources **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.

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.

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

A leading technology company in Seattle is seeking a Large Machine Learning Model Optimization Engineer. You will drive the development of on-device ML models, collaborate across teams, and implement optimization techniques for performance improvement. A BS degree and strong Python skills are required, alongside a passion for shipping machine learning models. The role offers a competitive salary ranging from $139,500 to $258,100, along with comprehensive benefits and stock options. #J-18808-Ljbffr

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.

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. Facebook is seeking an experienced, organized, and collaborative Site Selection Manager to join the Data Center Site Selection team.We are seeking a Data Center Site Selection Manager who has extensive experience negotiating large, complex 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. **Required Skills:** Data Center Site Selection Manager Responsibilities: 1. Develop Meta's owned data center location strategy in assigned geography and manage the site selection effort for real estate, including partnering with teams focused on economic development incentives, energy and utilities, network connectivity, legal, policy, and financial considerations 2. Lead feasibility discussions and contract negotiations with service providers, property owners, economic development agencies, and utility companies 3. Negotiate letters of intent, land or building purchases, economic development incentives, water and sewer supply, and other site-specific agreements, support power negotiations 4. Partner with internal organizations including capacity planning, energy teams, data center design, construction, network engineering, legal, policy, communications and finance 5. Prepare project location recommendations and present to management for approval 6. Develop portfolio management metrics and tracking mechanisms and interact with external lease management companies 7. Maintain relationships with communities and service providers in support of Facebook's data center developments, monitor ongoing contractual commitments, and support the expansion of Facebook's existing data centers through the extension of existing agreements or the formation of new agreements 8. Travel domestically (50%+) **Minimum Qualifications:** Minimum Qualifications: 9. Bachelor's degree in Business, Civil Engineering, City Planning or related 10. 10+ years of experience in site selection and data center or other capital project or infrastructure development 11. Experience leading real estate negotiations including contract formation and contract negotiations 12. Experience at representing business interests to governments (state, county and local), utilities, potential suppliers, and other stakeholders 13. Experience managing large real estate development projects and coordinating with internal staff, consultants, vendors and external stakeholders 14. Experience communicating commercial, market and contractual details to all organizational levels 15. 2+ years of experience in Excel and PowerPoint and/or Keynote **Preferred Qualifications:** Preferred Qualifications: 16. Advanced technical degree, law degree or MBA 17. Experience in hyperscale data center site selection or leasing negotiations **Public Compensation:** $197,000/year to $271,000/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.