Meta

Role Description Meta is seeking an Area Contract Manager to support the Design, Engineering, and Construction (DEC) team within its Infrastructure Data Center (IDC) organization. In this role, you will serve as the commercial and contractual subject matter expert for data center design and construction programs across the central region. You will be responsible for managing contract negotiations, execution, commercial risk, and change management processes across a portfolio of large-scale data center projects, working closely with general contractors, trade partners, and internal cross-functional teams to protect Meta's commercial interests and drive program delivery. - Serve as the primary commercial and contractual subject matter expert for data center design and construction contracts across the central region, ensuring alignment with contract terms, scope, and obligations. - Support the overall design and construction contract management function, including development and implementation of contract management tooling solutions, contract playbooks, and deal-to-contract intake and review processes for their functional program. - Lead the review, negotiation, and approval of contract changes, including change orders, claims, and commercial entitlement assessments submitted by General Contractors and Trade partners. - Manage the end-to-end change management process, including scope verification, cost and schedule impact analysis, and coordination with Area Cost and Schedule Leads to ensure integrated commercial accountability. - Identify, assess, and escalate commercial and contractual risks proactively, partnering with Area Managers, Legal, and Sourcing to develop mitigation strategies. - Review and interpret contract language to provide guidance to site project management teams on rights, obligations, and dispute resolution pathways. - Support the development and continuous improvement of contract management processes, templates, and commercial controls frameworks across the central region portfolio. - Collaborate with Pre-Construction, Finance, Accounting, and Sourcing teams to ensure that contract terms are reflected accurately in project budgets, forecasts, and procurement strategies. - Provide oversight and coaching to cross-functional partners on commercial processes, contract compliance, and change management best practices. - Analyze and communicate contract performance health metrics to Area leadership and Design, Engineering, and Construction leadership, including the escalation of unresolved commercial disputes. - Drive programmatic efficiencies in contract administration and commercial controls, including alignment with other Area Contract Managers to standardize practices across the broader data center portfolio. Qualifications - 15+ years of experience in contract management, construction commercial management, or supply chain operations within large-scale capital construction or infrastructure programs. - Bachelor's degree or equivalent in Supply Chain Management, Accounting, Legal Studies (J.D.), Business Administration, English, Engineering, Construction Administration, or a related field. - Experience in all Google applications (e.g., Drive, Docs, Sheets, Slides, Tasks) and Adobe Sign (or similar electronic signing tool). Requirements - Demonstrated ability to integrate AI or digital tools to improve contract administration workflows, reporting accuracy, or commercial risk identification. - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews). - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. - Experience with Guaranteed Maximum Price (GMP) contract delivery methods. - Demonstrated experience leading or supporting the development of owner-side contract management programs, including process design and team capability building. - Experience in data center, mission-critical facility, or large-scale infrastructure construction programs with complex commissioning and phased delivery requirements. - Experience in negotiating complex construction claims or dispute resolution processes. - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). Company Description 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.

Role Description Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. The mission of Meta FAIR's SysML research is to advance the state of AI through open science innovations. We explore, design, and build ML systems and infrastructures at scale with usability, efficiency, and sustainability as design principles. Some aspects of this role include: - Enabling distributed training at an unprecedented scale through advancements and development in training library and authoring components, such as cuBLAS, cuDNN, FlashAttention. - Training performance acceleration through hardware-software co-design. - Carry out cutting-edge research to advance the science and technology of machine learning systems. - Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities). - Devise better data-driven models of AI system design and optimization. - Contribute research that leads to innovations in: - Scalable machine learning systems. - Resource-efficient AI data and algorithm scaling. - Neural network architectures. - Memory and energy-efficient AI systems. - Environmentally-sustainable AI system and hardware designs. - Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. - Publish research results and contribute to research that impacts Meta product development. Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Master's degree in the field of Computer Science, Computer Engineering, or equivalent practical experience. - 4+ years of domain-specific industry experience in areas related to development in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence. - Experience with Python, C++, C, Rust or other related languages and with PyTorch framework. - Experience developing and optimizing systems for at-scale machine learning execution. - Experience devising data-driven models and real-system experiments and design implementation for AI system optimization. - Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures. - Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. - Experience working and communicating cross functionally in a team environment. Preferred Qualifications - PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews). - Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). - Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as MLSys, ISCA, ASPLOS, HPCA, PLDI, CGO, NeurIPS, ICML, ICLR, or similar. - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). Benefits - $154,003/year to $217,000/year + bonus + equity + benefits.

Role Description Meta is seeking an experienced individual to join our data center community development team. This role will partner with our site selection, operations, communications, and public policy teams to advance community development initiatives and maintain important relationships in each of our global data center regions. Please note that this is a remote position available only to candidates based in El Paso, TX or Rayville, LA. - Create, maintain, and manage relationships with key stakeholders in the data center community, including local county elected officials, business organizations, non-profit organizations, and local school districts. - Partner with internal teams to understand company and infrastructure related goals and initiatives and how to advance them at the local level. - Maintain and optimize Meta's regional data center community development plan. - Build key relationships with local community partners that help alleviate risks locally to advance infrastructure development. - Monitor local community needs and report back to leadership with regular cadence with risks to larger business goals. - Work in partnership with internal teams to develop strategies for community involvement. - Coordinate diligence and strategic planning surrounding charitable activities and other community initiatives. - Manage external relationships through engagements and media interviews in local markets. - Lead various projects related to our data centers as needed. - Travel domestically and internationally as needed (up to 50%). Qualifications - 7+ years of relevant experience in public affairs, nonprofit management, government relations, economic development or public facing engagement. - Bachelor's degree in public relations, communication, external affairs, business field, or equivalent practical experience. - Experience with nonprofit grants, donation, and corporate social responsibility planning. - Experience to communicate and work with highly confidential information. - Experience with communication, organizational and program management skills, with the experience to manage multiple projects and coordinate with internal and external stakeholders. - Experience collaborating and building productive cross-functional and working relationships with internal and external stakeholders. - Experience with local and state policy and legislative processes. Experience with understanding of legislative proceedings and planning at a local level. Preferred Qualifications - Data center experience. - Public Relations Experience. - Master of Public Administration or Master of Business Administration. - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews). - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. Compensation $153,000/year to $224,000/year + bonus + equity + benefits

Role Description Meta is seeking a Security Delivery Manager to drive the end-to-end execution of security programs across Meta's product and infrastructure portfolio. In this role, you will serve as the operational backbone for security initiatives, translating security requirements into structured delivery plans and ensuring that engineering, policy, legal, and trust and safety teams execute against defined security commitments. You will manage complex, cross-functional security workstreams spanning vulnerability remediation, security review pipelines, compliance-driven security controls, and incident response readiness programs, ensuring that security outcomes are delivered on time and at scale. - Define and manage delivery frameworks for security programs, including vulnerability remediation tracking, security review pipelines, and compliance-driven control implementation. - Partner with security engineering, trust and safety, legal, and product teams to align on security requirements, milestones, and accountability structures. - Develop and maintain program roadmaps for security initiatives, translating security risk priorities into actionable delivery plans with clear owners and timelines. - Identify and resolve blockers across security workstreams, escalating risks and dependencies to appropriate stakeholders with recommended mitigation paths. - Establish and report on key delivery metrics for security programs, including remediation SLA adherence, review cycle times, and control implementation progress. - Drive operational improvements to security delivery processes, including intake workflows, triage cadences, and cross-functional review ceremonies. - Coordinate across security domains such as application security, infrastructure security, and privacy engineering to ensure cohesive program execution. - Facilitate communication of security program status, risks, and outcomes to technical and non-technical stakeholders through written updates and structured reviews. - Support audit and compliance readiness by ensuring security control evidence is collected, tracked, and delivered against regulatory and internal policy timelines. - Mentor peers on program management best practices within the security delivery function and contribute to team-level process standardization. Qualifications - Bachelor's degree in a directly related field, or equivalent practical experience. - 6+ years of experience in program or project management with a focus on security, trust and safety, or risk and compliance domains. - Experience managing cross-functional security programs involving engineering, legal, policy, and operations stakeholders. - Experience defining delivery metrics and reporting frameworks for security initiatives such as vulnerability management, security reviews, or compliance control implementation. - Experience identifying, escalating, and resolving delivery risks and dependencies in complex, multi-team security workstreams. - Experience communicating security program status and risk posture in writing to both technical and non-technical audiences. Requirements - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews). - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. - Experience working within application security, infrastructure security, or privacy engineering delivery contexts. - Background in using data and tooling to drive operational improvements in security delivery processes. - Ability to obtain and maintain U.S. government security clearance. - Familiarity with security frameworks such as NIST, ISO 27001, SOC 2, or similar compliance and risk management standards. - Experience building or improving security intake, triage, and remediation tracking workflows at scale. Benefits - $133,000/year to $188,000/year + bonus + equity + benefits.

Role Description Meta is seeking a water program manager to support cross-functional program efforts for the large and growing water global data center portfolio during pre-development, construction, and operations phases. This position will report directly to the Water Team Manager within the broader Site Development team and will work closely with other Data Center teams. Travel may be needed to visit our data center sites to better understand operations, meet site teams, and attend agency and stakeholder meetings. - Facilitate and drive communication and cross-team coordination between internal and external water stakeholders, including Strategy, Finance, Sustainability, Design, Engineering, Construction, and Operations. - Monitor and support tool development for ensuring water and wastewater compliance. - Oversee compliance with water withdrawals and ensure compliance with end-user agreements (flow rate, wastewater discharge, volume/quality, significant industrial user, installation of monitoring and operational equipment where required, etc.). - Oversee compliance with wastewater discharge volume/quality requirements (pre-treatment, Significant Industrial User, Permit). - Prepare and implement Water Mitigation Plan with Emergency Operating Procedures related to forced water reduction, establish framework and lead effort on finalizing entire Emergency Plan. - Monitor external factors that could affect water (i.e., tracking local and state water policy, water quality issues, legal rights/issues) and provide results and updates to internal teams. - Organize, review, and evaluate water and wastewater monitoring data to compare against agreements, identify anomalies, and establish best practices. - Lead water utility engagement approach during construction and operations on all technical, invoicing, and operational issues. Work closely with cross functional partners on efforts to optimize overall operations, promote best practices, and drive environmental stewardship. - Complete engineering design reviews and track both onsite and offsite infrastructure projects including schedule, scope and budget. Understand the status and impact to ongoing data center construction and operations. - Partner with construction management teams on construction quality control and assurance of wet utility infrastructure projects. - Meet regularly with utility partners to coordinate on projects and maintain good relationships throughout the life cycle of the data center. - Lead a variety of programmatic initiatives to advance the Water Team's mission, including (but not limited to): advancing fleet-wide sustainability and water saving efforts, performing regulatory research, developing and refining business processes, and coordinating with cross functional partners on multidisciplinary efforts. - Assist in facilitating the growth of the water program within Meta Data Centers as the company continues to grow and build water program capabilities and best practices. - Work with a diverse group of cross functional partner teams to gather data from a variety of water and wastewater-related workstreams. Analyze the information to identify patterns and trends, with the goal of optimizing overall system and business operations. - Monitor and support process for flow meter account setup, mapping, payments, and commissioning with local utilities. - Oversee schedule and budget for water program and data center sites in responsible region (i.e., CapEx and OpEx). - Monitor and support construction water milestones and drive the implementation of construction water best management practices. - Ability to travel domestically (up to 50%). Qualifications - Technical expertise related to industrial water use and wastewater discharge, water efficiency techniques, as well as water policy and permitting in the United States. - Experience managing multiple projects and coordinating with internal staff, external consultants, and other stakeholders. - Bachelor's degree in civil or environmental engineering or similar. - Experience communicating and working with highly confidential information. - Experience with construction management of water infrastructure. - Experience working in teams, and establishing and maintaining cross-functional relationships. - Knowledge of Google platforms (Sheets, Slides, etc.). - 12+ years professional experience in water and wastewater infrastructure projects. Preferred Qualifications - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews). - Experience leveraging SQL and BI tools (such as Tableau) for data analysis, reporting, and actionable insights. - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. - Advanced technical degree. - Experience working with water and wastewater utilities in the United States. - Experience with operations of water and wastewater infrastructure. - Experience with water and wastewater infrastructure construction and operations for data centers. - Experience with NPDES and industrial pre-treatment permits. - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). - Professional Civil Engineer License. Compensation $160,000/year to $232,000/year + bonus + equity + benefits

Role Description Meta’s Global Energy Team is seeking a highly experienced energy professional to identify, develop, negotiate, and manage clean and renewable energy supply solutions for our growing fleet of data centers. The Energy Manager, Clean Energy will support the continued development and execution of Meta’s global energy strategy centered on a supply portfolio of cost-competitive clean and renewable energy sources consistent with the company’s overall strategic objectives. In this role, you will be developing optimal clean energy supply solutions by creatively leveraging your skills and significant experience across a spectrum of energy supply issues, including project development, finance, commercial, regulatory, market, technical, legal, and tax. - Lead the identification, creation, development, negotiation, and execution of opportunities to secure new cost-competitive sources of clean and renewable energy for Meta’s operations. - Support domestic and international, as needed, data center site selection and development activities. - Collaborate with internal organizations including sustainability, legal, tax, engineering, and finance to implement supply solutions. - Develop and negotiate commercial frameworks for Meta’s participation in grid decarbonization projects involving nuclear, geothermal, utility-scale storage, and other advanced energy technologies, as required. - Develop and grow relationships with key suppliers, developers, regulators, and other stakeholders. - Take an active role in regulatory processes and influence the design of new clean and renewable energy supply solutions offered by utilities and other suppliers. - Support continued evolution, innovation, and execution of Meta’s clean energy supply strategy for domestic and potentially international data centers. - Stay informed of the technical, market, and regulatory developments in the clean energy industry and communicate key trends, risks and potential impacts to management. - Lead and support various energy projects as needed, including technology assessment. - Travel domestically and internationally as needed (10% to 20% at times). Qualifications - Bachelor's degree in a directly related field, or equivalent practical experience. - Bachelor's degree in a business, sustainability, corporate responsibility, or technically related field. - 12+ years of experience in developing, acquiring, performing due diligence, and negotiating definitive agreements for utility-scale clean and renewable energy solutions. - Proven track record of commercial success in the negotiation and development of energy solutions. - Experience representing business interests to executive leadership teams of potential suppliers, utilities, and other stakeholders. - Experience working with financial models for renewable energy projects and energy technologies, identifying key risks and sensitivities, and leading all related due diligence efforts (financial, commercial, technical, and development). - Experience managing multiple projects and collaborating with all internal and external stakeholders and consultants. - Experience in utility and grid interconnection processes. - Experience in leading negotiations and projects. - Experience in communicating commercial, regulatory, market, and contractual details to all organizational levels. Preferred Qualifications - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews). - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). Benefits - $202,000/year to $273,000/year + bonus + equity + benefits.

Role Description Meta is seeking a principal-level AI Transformation Lead to define and drive the integration of artificial intelligence across hardware engineering programs within Reality Labs. In this role, you will establish the strategic vision for how AI-powered tools, workflows, and methodologies can fundamentally reshape how hardware systems are designed, validated, and brought to mass production for wearable devices, AR/VR headsets, and next-generation consumer electronics. You will operate at the intersection of hardware systems engineering and applied AI, partnering with engineering, research, and product leadership to identify high-leverage transformation opportunities and translate them into durable, scalable programs that accelerate hardware development cycles and improve engineering outcomes across the organization. Responsibilities - Define and own the multi-year AI transformation roadmap for hardware engineering, identifying opportunities to embed AI-driven tools and methodologies across design, simulation, verification, and manufacturing workflows. - Lead cross-functional programs that deploy machine learning and generative AI capabilities into hardware engineering workflows, including design space exploration, failure mode analysis, and predictive validation. - Establish frameworks for evaluating and prioritizing AI transformation initiatives based on engineering impact, feasibility, and alignment with hardware product roadmaps for wearables and AR/VR devices. - Collaborate with research and applied AI teams to translate state-of-the-art AI capabilities into practical hardware engineering applications, bridging the gap between research prototypes and production-ready tooling. - Communicate AI transformation strategy, progress, and trade-offs to hardware engineering leadership and executive stakeholders through structured written and verbal briefings. - Define success metrics and evaluation criteria for AI-augmented hardware engineering programs, and drive accountability across partner teams to deliver measurable improvements. - Identify organizational capability gaps and develop enablement strategies to build AI fluency across hardware engineering teams, including tooling adoption, workflow integration, and change management. - Engage with external technology partners, vendors, and the broader hardware AI ecosystem to inform Meta's transformation strategy and identify emerging capabilities relevant to consumer electronics development. - Provide technical and strategic guidance to engineering leaders and program teams navigating ambiguous, first-of-a-kind AI integration challenges in hardware development contexts. Qualifications - 12+ years of experience in hardware systems engineering, systems architecture, or technical program management for consumer electronics, wearable devices, wearables hardware, or related hardware product domains. - Experience leading large-scale technical transformation programs that span multiple engineering disciplines and organizational boundaries within a hardware development environment. - Experience applying AI, machine learning, or data-driven methodologies to hardware engineering workflows such as design automation, simulation, test and validation, or manufacturing process optimization. - Experience defining strategic roadmaps and driving organizational alignment across hardware engineering, research, and product leadership at the executive level. - Experience communicating complex technical strategy and cross-functional program trade-offs in writing to both engineering and non-technical executive audiences. Preferred Qualifications - Experience deploying generative AI or large language model-based tools within engineering design or verification workflows for consumer hardware products. - Experience building or scaling AI-enabled design space exploration, predictive failure analysis, or simulation acceleration capabilities in a hardware engineering context. - Familiarity with hardware development processes for wearable devices, including subsystem integration, bring-up, and mass production readiness. - Track record of establishing new engineering practices or centers of excellence that measurably improved development velocity or product quality across a hardware organization. Benefits - $208,000/year to $289,000/year + bonus + equity + benefits.

Role Description Meta is seeking a Lease Construction Manager to oversee the delivery of leased data center facilities that power Meta's global infrastructure. In this role, you will serve as Meta's primary construction representative on colocation and build-to-suit data center projects, ensuring that landlord-delivered shell and core construction, critical infrastructure systems, and tenant improvement work meet Meta's technical specifications, schedule requirements, and quality standards. You will partner closely with real estate, design engineering, and data center operations teams to manage project execution from lease execution through facility acceptance and handover. Responsibilities - Serve as Meta's owner's representative on leased data center construction projects, managing landlord and developer obligations from groundbreaking through certificate of occupancy and facility acceptance. - Review and provide technical feedback on landlord construction documents, including civil, structural, architectural, mechanical, electrical, and plumbing drawings, to ensure alignment with Meta's data center design standards. - Monitor construction progress on colocation and build-to-suit data center sites, conducting regular site visits to assess schedule adherence, quality of work, and conformance to contract requirements. - Coordinate tenant improvement construction activities, managing Meta's general contractors and specialty subcontractors delivering fit-out of white space, power distribution, cooling infrastructure, and network cabling systems. - Track and manage project schedules, budgets, and change order logs across multiple concurrent leased data center projects, providing regular status reporting to internal stakeholders. - Lead construction milestone reviews, factory acceptance tests, and integrated systems testing for critical infrastructure including UPS, generators, switchgear, cooling systems, and fire suppression systems. - Identify and escalate construction risks, schedule delays, and quality deficiencies to landlords and developers, driving resolution through contractual mechanisms and collaborative problem-solving. - Collaborate with data center commissioning teams to coordinate the transition from construction to commissioning and operations, ensuring all systems are tested and documented prior to handover. - Partner with real estate, legal, and lease administration teams to track landlord delivery obligations, punch list completion, and substantial completion milestones defined in lease agreements. - Contribute to the development and continuous improvement of Meta's leased data center construction standards, playbooks, and vendor qualification processes. Qualifications - 7+ years of work experience in construction management. - General knowledge of electrical and mechanical systems. - Knowledge of industry standards, building codes and safety standards, including fire protection regulations. - Knowledge of capital budget management. - Experience negotiating construction contracts, change orders, or vendor agreements to resolve scope, schedule, or budget issues. - Experience using Primavera P6 for construction scheduling. - Proficient working knowledge of Google Workspace. - Proficient working knowledge of Bluebeam. Preferred Qualifications - BIM 360 software experience. - MS Visio and Google Cloud experience. - Bachelor's degree in Construction Management, Civil Engineering, or an equivalent degree, and/or 12+ years of direct experience in project planning and construction management. - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). - Building Environment Accreditations (i.e., LEED, SITES, TRUE, WELL). - Multi-project experience in large-scale construction management, mission-critical or infrastructure preferred. - Unified software experience; Procore software experience. - Experience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review). - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. - Construction Management experience in the lease/colo market and live environment retrofit scopes of work. - Connectivity Cabling and Data Center Construction Experience. - Experience reviewing/editing lease agreements, amendments, and work letters. Compensation $123,000/year to $176,000/year + bonus + equity + benefits

Role Description We’re hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You’ll be embedded directly in Facebook’s ecosystem, helping reimagine core experiences and reshape how people discover content, connect with creators, and interact with each other. The work spans some of the most bold bets in applied GenAI, including: - Building the post-training, evaluation, and serving systems that turn frontier LLMs into reliable, high-quality product experiences used by billions. - Building a general-purpose agentic platform that powers a wide range of GenAI products across Facebook — enabling teams to ship faster, safer, and at scale. - Building systems that enable capacity and cost optimizations through model fine-tuning, post-training and other techniques. - Adapting and scaling these systems across Meta’s products. Why Join Us - Product LLM work at singular scale: Your post-training decisions, evaluation frameworks, and serving architecture directly affect billions of daily interactions. - End-to-end ownership: We don't hand off models to a separate product team. We own the loop from training data to production behavior to measurement. The impact of your work shows up in days, not quarters. - The problems are unsolved: How do you evaluate open-ended conversational AI at scale? How do you fine-tune for groundedness across millions of varied creator profiles? These aren't incremental improvements, they're open research questions with immediate product consequences. - Our team is hands-on, with high autonomy, working on critical bets: We're deliberately keeping this team lean and experienced. You'll have outsized influence on technical direction, not just execution. Depending on your interests and strengths, your work could span: - Post-training pipelines (SFT, RLHF, synthetic data generation) - Evaluation methodology (auto-judge design, benchmark construction, human-AI calibration) - Production serving systems (RAG, memory, multi-modal generation) - Multi-agent orchestration - E2E experience of building agentic products, all grounded in shipping to real users at scale Responsibilities - Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases. - Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs). - Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta’s product development. Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams. - Impressive engineering background (PhD in ML not required). - Experience working in AI/ML environments. - Can manage data pipelines and versioning. Benefits - $183,997/year to $257,000/year + bonus + equity + benefits.

Role Description As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond. About the role: - Product leadership: Use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development. - Analytics: Guide product teams using data and insights, developing hypotheses and employing a varied toolkit of rigorous analytical approaches. - Communication and influence: Present data-driven stories, convincing and influencing leaders using clear insights and recommendations. - People leadership: Inspire, lead, and grow a team of data scientists and data science leaders. Responsibilities - Lead a team of data scientists to develop strategies for products serving billions of people and hundreds of millions of businesses. - Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams. - Influence product direction through clear and compelling presentations to leadership. - Work with large and complex data sets to solve challenging problems using various analytical and statistical approaches. - Identify and measure success of product efforts through goal setting, forecasting, and monitoring key product metrics. - Define, understand, and test opportunities to improve the product, driving roadmaps through insights and recommendations. - Contribute towards advancing the Data Science discipline at Meta, including driving data best practices and mentoring other data scientists. Qualifications - Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). - Experience initiating and completing analytical projects with minimal guidance. - 4+ years of work experience (2+ years with a Ph.D.) in applied analytics, including 2+ years managing analytics teams. - Experience communicating results of analysis to leadership. - Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta. Preferred Qualifications - Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field. - Proven track record of leading high-performing analytics teams. - Demonstrated ongoing AI skill development and staying current with emerging AI technologies. - Experience working in technology, consulting, or finance. - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact. - Experience adhering to and implementing responsible, ethical AI practices. Benefits - $177,000/year to $247,000/year + bonus + equity + benefits.