Meta jobs in Olympia, WA - 1984 jobs

Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence Minimum Qualifications * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta * Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, or related areas * Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research * Experience solving analytical problems using analytic and quantitative approaches * Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications * First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar) * Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment * Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward * Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions Responsibilities * Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results * Work with a large team * Help identify long-term ambitious research goals as well as intermediate milestones * Prioritize research that can be applied to Meta's product development * Mentor other team members. Play a significant role in healthy cross-functional collaboration 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.

A leading technology company is seeking a Machine Learning Engineer to join their Knowledge Quality Team in Seattle. This role involves designing and developing innovative machine learning solutions to enhance Siri and other features. The ideal candidate will have proficiency in Python and experience with large data sets and machine learning frameworks. You'll have the opportunity to work with cross-functional teams and help redefine user experiences for millions across the globe. #J-18808-Ljbffr

**Role Number:** 200*********** 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 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 Service Delivery Manager 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 service offerings. You must be passionate about service excellence and continuous improvement. **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 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 (*********************************************************************************************** .

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

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

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. US based applicants only. $208,145-$364,254 USD 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. 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 or 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. #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 tech company in Seattle is looking for an On-Device Machine Learning Integration Engineer. This role involves collaborating with ML engineers and data scientists to integrate advanced computer vision technologies into Apple devices. Candidates should possess a Bachelor's degree in Computer Science combined with programming expertise in Python, Swift, and C++. Experience with the machine learning lifecycle and knowledge of technologies like PyTorch is also essential. Attractive compensation and benefits are offered. #J-18808-Ljbffr

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategorySoftware EngineeringJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.****About the Role****Salesforce's AI Foundations team is foundational to enabling both traditional machine learning applications and AI agents at enterprise scale. This team empowers the Digital Enterprise Technology organization to build, deploy, evaluate, and operate trusted AI systems in days instead of months. As Senior Director of Engineering, you will provide unified technical leadership across the AI foundations platform stack-spanning ML infrastructure, agent lifecycle management, evaluation, observability, and governance. You will drive interoperability across platform components, operationalize a data mesh-oriented architecture, and ensure the platform delivers high reliability, strong security, and cost-efficient scalability. This role is central to aligning platform capabilities with strategic business priorities, enabling safe and rapid adoption of generative AI and predictive AI across the enterprise.****What You'll Do***** Lead the engineering of AI Foundations team that enables teams to build, deploy, evaluate, experiment on, monitor, and govern AI agents and ML models safely and at enterprise scale.* Own three core platform areas + ML Platform & Developer Productivity (training, inference, environments, cost/perf) + Model & Agent Lifecycle & Governance (CI/CD, registries, lineage, access control) + Agent Observability, Evaluation & Reliability (quality, drift, experimentation)* Make agent evaluation and experimentation default platform capabilities, ensuring every production agent and model ships with: + Offline evaluation (golden scenarios, regression suites) + Pre-deployment quality gates in CI/CD + Controlled experimentation (A/B tests, canaries, shadow traffic) + Continuous post-deployment monitoring* Drive end-to-end observability across data pipelines, retrieval, model inference, tool execution, and agent outcomes, with clear SLIs/SLOs for quality, latency, reliability, and cost.* Standardize ML and agent development workflows, reducing time-to-production and eliminating bespoke infrastructure across teams.* Partner cross-functionally with Applied AI, Data Science, Product, Security, Legal, and Responsible AI to translate business and regulatory requirements into enforceable engineering systems.* Build and lead a high-performing organization of engineering managers and senior engineers, setting a strong technical bar and culture of operational excellence.### ****Required Skills***** 15+ years of engineering experience, with 7+ years leading platform or infrastructure teams in ML, data, or AI-heavy environments.* A master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or equivalent industry experience.* Proven experience with ML and platform infrastructure, including Kubernetes-based systems, CI/CD, distributed systems, and observability stacks (metrics, logs, tracing).* Expertise in generative AI, ML algorithms, and frameworks such as Hugging Face, Tensorflow, PyTorch, etc.* Experience with cloud platforms (e.g., AWS, GCP) and distributed computing frameworks (e.g., Spark, Hadoop).* Hands-on familiarity with experimentation frameworks, such as A/B testing, canaries, and shadow deployments, and integrating experiments into ML/agent pipelines.* Experience building evaluation systems for models and agents, including offline tests, regression suites, online monitoring, and LLM-as-a-Judge-style approaches.* Strong background in AI agents and LLM systems, including tool use, multi-step workflows, RAG, prompt and policy management, and common agent failure modes.* Experience with data and ML platforms (e.g., Snowflake-centric workflows, feature stores, training pipelines).Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### ### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $239,500 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.### ### ### ### #J-18808-Ljbffr

Meta is seeking a Director of Employee Relations to lead a team of Employee Relations Managers and Employee Relations Business Partners (ERBPs) to support Cross-Meta Platforms. The ideal candidate will contribute with both hands-on and strategic support of our people managers through performance management and workplace conflict issues to cultivate an innovative, high-performing, and inclusive culture. The ideal candidate will have strong leadership skills, ability to assess different types of risk, drive strategy across the Cross-Meta Foundations ER team, and bring creative and effective ideas and solutions to a growing organization. They should also have proven experience leading, growing, and scaling experienced ER/HR professionals. Minimum Qualifications * 15+ years of experience in Employee Relations, or HR Business Partner roles * 5+ years experience in managing people managers and senior individual contributors * Experience demonstrating analytical, problem solving skills and project management skills, effectively managing multiple cases at any given time * Demonstrates effective judgment and proven experience assessing risk relative to individual health and the business * Effective communication and critical thinking skills * Demonstrates empathy and has experience driving inclusion work * Demonstrates ability to work through ambiguous situations towards a strategic outcome * Demonstrates project management and change management experience * Experience working independently with minimum supervision and make decisions involving various groups, locations, and partners * Demonstrated experience learning and thriving in a constantly changing environment to cultivate relationships across teams * Experience helping global and/or matrix organizations scale * Demonstrated experience in influencing and strategically solving problems * Consulting, coaching and facilitation skills * Demonstrated experience leveraging best practices from industry to build and scale a new organizational functions from inception * Proven experience leading, growing, and scaling experienced ER/HR professionals/teams Preferred Qualifications * BA/BS degree preferred * Experience working with technology companies at significant scale (10,000+ employees) * Demonstrated experience in crisis management and organizational change initiatives * Professional certifications in HR, mediation, or organizational development * Knowledge of employment law across multiple jurisdictions and experience working with global teams Responsibilities * Lead a team of Employee Relations Managers and ERBPs who work across multiple business groups to assist employees and managers in resolving issues and grievances * Provide strategic Employee Relations support, business partnership, thought partnership, and coaching to all levels of the organization * Proactively assess team and manager development needs, make recommendations, and implement appropriate solutions * Design and implement scalable solutions for conflict resolution, performance improvement, and organizational change * Balance risk considerations across employee, business and company perspectives on high-stakes matters * Provide rigorous data analysis and reporting solutions based on business needs, highlighting key trends in employee relations to actively drive proactive solutions * Shape and communicate the vision for Employee Relations organization-wide initiatives and programs * Influence functional strategy using data and insights, participating in Global ER Team strategic development * Drive strategy development for complex employee relations challenges with company-wide implications * Integrate and partner with HR colleagues in the HR Business Partner, Legal, Investigations, Learning & Development, and HR Programs teams to implement solutions and help scale the business * Participate and lead projects as an integral member of the extended HR community and influence others within the organization * Build collaborative and productive working relationships * Lead with integrity, respect, high personal standards and build personal credibility * Build internal community (e.g. supports others, shows respect, acts as an ally, onboards new hires, connects people, collaborates well, drives inclusion) * Actively involved in interviewing and on-boarding new employees 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 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. **Required Skills:** Director, Security GRC Program Lead Responsibilities: 1. Lead and deliver on deeply complex, high-impact projects that shape Meta's risk profile and business trajectory. 2. Proactively identify long-term, critical, and ambiguous problems, setting a clear vision and strategy for risk management in alignment with company goals. 3. 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. 4. 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. 5. Define and maintain clear interfaces and points of contact with the Security organization and other key partners, ensuring efficient governance and communication. 6. Prepare regular updates and compliance documents to ensure Meta meets board and regulatory obligations, adapting processes and strategies to evolving regulatory and business environments. 7. Drive cross-org execution, collaborating with Risk, Security, Legal, Product, and Engineering functions to deliver results and maximize impact. 8. Champion organizational efforts to build and sustain diversity, culture, recruitment, onboarding, mentoring, and development programs, serving as a role model and mentor for others. 9. 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. **Minimum Qualifications:** Minimum Qualifications: 10. Significant experience as a leader and contributor in security risk management and compliance, including providing second-line oversight 11. Strong track record of operating effectively and influencing outcomes with Engineering, Product, GRC, and Legal partners 12. Extensive experience with Governance, Risk, and Compliance (GRC) and Legal functions 13. Deep expertise in security, with the ability to holistically understand relevant issues, partners, and products, and go deep on technical details 14. Proven ability to identify critical issues, balance competing priorities, translate technical and regulatory concepts for diverse audiences, and personally drive initiatives to completion 15. In-depth knowledge of complex global regulatory requirements (e.g., GDPR, SEC, PCI-DSS, NYDFS) 16. Demonstrated ability to build strong formal and informal networks with key influencers and decision makers inside and outside the company 17. Experience working in integrated privacy-security environments or familiarity with unified GRC frameworks across multiple risk domains **Preferred Qualifications:** Preferred Qualifications: 18. Advanced degree in a relevant field 19. Experience integrating best practices from other GRC domains (Integrity, Privacy) 20. Recognized as a thought leader in risk management, with experience influencing external stakeholders and policies 21. Experience working in a fast-paced tech environment 22. Proven ability to operate hands-on across orgs and functions 23. Understanding of Meta's canonical security framework and experience with risk-based prioritization methodologies such as Security Prioritization Framework (SPF) **Public Compensation:** $227,000/year to $287,000/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@meta.com.

As a Softgoods Designer on the Industrial Design Specialist Team you will design, prototype, develop and integrate technical softgoods solutions across Meta's consumer VR, AR, Smart Glasses, Wearables and Accessories product lines. We work closely with Industrial Design Generalists, PDE and operations partners to push the boundaries of what is possible in Softgoods integration. You will bring strategic problem solving and industry leading hands-on design skills and take a critical role in designing novel Softgoods solutions to improve the aesthetics and ergonomics for our consumer electronics devices. You'll own the design of parts/assemblies such as facial interfaces, strap systems, wrist wearables with integrated electronics and charging carry cases. We also provide support for our accessories lines such as carry cases and VR headset customization. You have a passion for pushing the state of the art of Softgoods design and manufacturing and experience working collaboratively with cross-functional teams. This position is full-time. Extensive experience in Softgoods design, development and manufacturing is strongly preferred but not required for this position. Our ideal candidate has a mechanical background, experience in designing and manufacturing consumer electronics Softgoods products, expert 3D and 2D CAD capabilities, and prototyping skills. Minimum Qualifications * Bachelor's degree in Industrial Design or related field * 2+ years of experience as an Industrial Designer with emphasis on developing Softgoods products * Experience exploring and refining ideas through prototyping * Experience in 3D CAD modeling (Rhino, SolidWorks, NX, Fusion 360) * Experience in 2D CAD (Adobe Illustrator) * Knowledge of fabric and textile constructions (knit, weaves, nonwovens) * Experience in creating 2D flat patterns from 3D shapes and vice versa * Experience operating sewing machines and other softgoods specific equipment Preferred Qualifications * Textile, bag, garment and/or footwear design experience * Experience with CNC cutting machines (laser, fabric cutter) * Experience with patterning/visualization software (Gerber, Optitex, CLO) * Knowledge of flat-knitting Responsibilities * Conceive elegant, effective ways to address ergonomic and mechanical challenges * Design category-defining products, helping Meta Reality Labs change the world through design * Utilize user-centric thinking and aesthetic sensibility to align our brand to customer needs * Work collaboratively with multiple cross-functional teams on complex technical programs in a fast-paced environment * Be a key contributor of concepts and problem solving across multiple softgoods projects * Develop and maintain a thorough understanding of Softgoods materials and manufacturing techniques * Create softgoods designs and communicate design intent through sketching, CAD and most importantly you make mock-ups and prototypes to prove new concepts * Collaborate closely with other Designers/Engineers to create and bring new and better toolbox solutions that benefit the brand (such as new technologies, construction techniques, features, etc.) 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.

A leading technology company in Seattle, Washington is seeking a Machine Learning Engineer to join their Answers, Knowledge & Information team. The role involves shaping user experiences for products like Siri and requires strong skills in applied machine learning and software engineering. Candidates should have a BS in a relevant field and at least 5 years of experience. A competitive compensation package including stock options and benefits is offered. #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

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategoryMarketing & CommunicationsJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.## We are seeking a strategic and hands-on Director of Product Marketing to lead product marketing for the Connectivity, Zero Copy, and Real-Time product pillars within Data 360. This role is responsible for defining crisp positioning and messaging, driving product launches (including demos, sales enablement, webinars, and customer-facing content), building AR/PR narratives, and creating sustained product momentum across the lifecycle. The ideal candidate excels at translating complex data platform capabilities into compelling stories for customers, analysts, and press, and works closely with product and partner marketing teams to deliver impactful partner announcements and ecosystem messaging. Success in this role requires strong presentation skills, executive presence, and the ability to confidently navigate ambiguity in a fast-paced, evolving market.## **Responsibilities*** ## Lead end-to-end product launches for Connectivity, Zero Copy, and Real-Time, translating complex platform capabilities and architectures into clear, differentiated positioning and messaging from launch through sustained market momentum. This includes actively supporting public relations efforts and contributing to press release content for key announcements.* ## Work closely with the Partner Marketing team and strategic ecosystem partners to develop joint messaging, partner announcements, and co-marketed narratives that highlight interoperability, integrations, and customer value across the broader data ecosystem.* ## Drive technical sales enablement and readiness programs, delivering deep product narratives, demos, and use case driven assets that enable sales and solution teams to confidently position Data 360.* ## Serve as a subject matter expert and technical spokesperson for the portfolio, owning content strategy and development across technical documentation and blogs, demos, webinars, launch assets, and thought leadership for customers, analysts, and partners.* ## Shape and influence product strategy through close partnership with product management by bringing customer insights, competitive intelligence, and ecosystem feedback into roadmap and prioritization discussions.* ## Confidently deliver compelling technical presentations to internal and external audiences of all sizes, including executive leadership, customers, and partners.## **Required Skills:*** ## 8+ years of experience in product marketing, industry marketing or corporate marketing.* ## Demonstrable expertise in leading product launches from strategy to execution.* ## Proven ability to strategize, craft, and communicate compelling technical messaging and positioning for complex technology products.* ## Excellent communication skills and the ability to present to executive leaders, cross-functional partners, and customers* ## Ability to create a range of marketing assets including, on-message product demo videos, sharp succinct slide pitch-decks, product data sheets, technical enablement material, press releases, and blog posts.* ## Experience working directly with industry analysts (e.g., Gartner, Forrester) and leading briefings to shape industry narratives.* ## Ability to use data and analytics to drive decision-making as well as a consistent track record of setting and delivering against measurable marketing metrics.* ## Expertise in creating strong working relationships with cross-functional teams and align with global stakeholders## **Preferred Skills:*** ## Experience with the Salesforce products, Data + AI/CDP platforms and/or other SaaS and B2B technology platforms preferred* ## Get-it-Done confidence to pick up and lead new projects even in the face of ambiguity* ## A winning attitude that inspires optimism, fun, and the desire to always be learning!Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ************************************** ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $161,500 - $257,600 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.### ### ### ### ### ### #J-18808-Ljbffr

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@meta.com.

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

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 a directly related field, or equivalent practical experience 10. Bachelor's degree in Business, Civil Engineering, City Planning or related 11. 10+ years of experience in site selection and data center or other capital project or infrastructure development 12. Experience leading real estate negotiations including contract formation and contract negotiations 13. Experience at representing business interests to governments (state, county and local), utilities, potential suppliers, and other stakeholders 14. Experience managing large real estate development projects and coordinating with internal staff, consultants, vendors and external stakeholders 15. Experience communicating commercial, market and contractual details to all organizational levels 16. 2+ years of experience in Excel and PowerPoint and/or Keynote **Preferred Qualifications:** Preferred Qualifications: 17. Advanced technical degree, law degree 18. Experience in hyperscale data center site selection or leasing negotiations **Public Compensation:** $202,000/year to $273,000/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@meta.com.