Meta

Meta is seeking an Optical Deployment Engineer to deploy and support a large-scale optical network spanning ULH terrestrial, regional metros and subsea links connecting data centers and POP sites across EMEA. You will generate implementation plans, provide technical guidance, and collaborate with vendors to set deployment standards. The role requires hands-on experience with optical networks, field-based work at POPs and data centers, and the ability to lead deployment and migration projects

Network Engineer - Optical Deployment# Network Engineer - Optical DeploymentLondon, UK Data Center Design, Engineering, & Construction+ 3 moreApply nowMeta is looking for an Optical Deployment Engineer who will be responsible for the deployment and support of one of the world's largest and most complex networks. As a member of this team, you will have a unique opportunity to be involved in projects related to implementation & scaling of the optical network at Meta. The role requires an engineer with experience adapting to evolving network architectures and deployment timelines. An engineer who identifies and proposes improvements to existing processes and develops practical solutions to operational challenges. As an Optical Deployment Engineer, you propose new ideas, gather constructive feedback from others, and push forward to make these ideas a reality. Network Engineer - Optical Deployment Responsibilities Deploy, configure, and support a large-scale production optical network that spans ULH terrestrial, regional metros and subsea networks, interconnecting data centers and Point of Presence (POP) sites across EMEA Generate implementation plans and provide technical leadership and guidance during deployment activities Collaborate with vendors/manufacturers to evaluate new hardware/software and create optical standards for network deployment teams Reviewing acceptance documents provided by vendors and subcontractors deploying equipment on our network Plan, schedule and perform network maintenance, repair and upgrade tasks as needed Work closely with Network Engineering, Logistics and equipment vendors & fibre providers to ensure seamless introduction of new optical technologies into the production network Provide technical expertise to network provisioning engineers for troubleshooting out-of-service or faulty circuits Create and maintain Engineering Design Packages for metro, regional , long-haul DWDM systems and Subsea SLTE systems Proactively contribute to documentation, automation and processes as they evolve This role will involve some pre-planned travel from time to time Minimum Qualifications Demonstrated hands-on experience deploying optical networks Experience with optical network design, installation and maintenance for service providers or enterprise networks Experience with field-based work on POPs, carrier hotels, data centers and central office environments Proven experience leading and executing optical network deployment and migration projects Experience interacting with vendors and external parties to drive projects to timely completion Experience creating rack elevations and other planned/install/as-built documentation Knowledge of data center design and deployment best practices Understanding of DCN Networks Knowledge of optical theory, transport technologies and the operation of optical transport systems Experience with optical test equipment and optical troubleshooting experience using OTDR, BERT, and optical power meters Preferred Qualifications 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) Experience analyzing situations, utilizing systems and tools, and troubleshooting to resolve technical issues Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Effective time management and organization Experience in the planning and execution of Subsea SLTE projects Experience working in a global team environment Experience of communicating and coordinating tasks with carriers remotely About MetaMeta 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 OpportunityMeta 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 Business Support Engineer in the UK to join the Business Agent initiative. You will troubleshoot large-scale distributed systems, support Meta's partners, and embed AI-driven solutions into service offerings with an AI-native mindset. You will build, deploy, and monitor AI solutions using Llama and other LLMs, participate in on-call rotations, and collaborate with cross-functional teams to drive reliable partner experiences and operational excellence.

Meta recently launched its Business Agent, helping businesses of every size use AI to boost productivity and deliver more personalized customer experiences. Business Support Engineering will be at the forefront of this shift, and we're looking for an engineer to play a pivotal role supporting Meta's partners bringing demonstrated experience in distributed systems and AI-driven solutions and a track record of improving end-to-end support experiences.As a Business Support Engineer, you will work closely with cross-functional teams and business partners across the globe, incorporating AI-driven business solutions into their service offerings. You will track industry advancements and partner experiences, evaluating their impact and influencing the product's strategic roadmap.Business Support Engineer Responsibilities:Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfactionTroubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering craftsmanshipLeverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindsetBuild, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to productionDevelop performance monitoring systems for partner integrations to ensure high availabilityleverage metrics to proactively identify issues and drive improvements across teamsProvide 24/7 oncall support coverage via rotation schedule (including weekends)Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvementCreate clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externallyDrive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project executionMinimum Qualifications:3+ Years of experience as Software engineering or Site Reliability Engineering backgroundProven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently outages impacting Meta PartnersExperience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management supportKnowledge of fine-tuning and optimization of PyTorch models and and experience with at least one LLM such as Llama, GPT, Claude, or FalconExperience in communicating with technical and business audiences and writing technical documentationExperience in assessing, analyzing, and resolving operational issues using data analysis (SQL)Preferred Qualifications:Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience in partner-facing or customer-centric engineering rolesExperience transforming data, model selection/training/optimization, and deployment at scaleExperience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containersDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience building cloud solutions on any cloudExperience collaborating in cross-cultural engineering environments with international stakeholdersHands-on experience working with large language models and AI agentsDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)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.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Ads is the largest revenue generator at Meta and Ads Quality represents around 20% of total revenues which are used to generate long term ads and organic engagement.Core Ads Quality is a unique team jointly optimizing for both quality and revenue, aiming at making this investment more revenue / quality trade-off efficient and generate long term revenue growth through user learning. Among others, Core Ads Quality focuses on: Finding the right trade-off between short and long term revenues Standardising and optimise quality treatment of ads across surfaces and page types Understanding user behaviour with respect to ads quality Building a solid infrastructure around signals, labels and quality metricsWe work at the intersection of Ads, Machine Learning and User Behaviour understanding. The nature of our work is very analytical, with a solid collaboration with our Data Scientist and a heavy focus on not only understand "what" but also "why". Despite having been created a couple of years ago, the Ads Quality space at Meta is still nascent and full of unexploited opportunities. The org is further structured into the following teams/sub-pillars: Integrity & Efficiency: Proactively cover long-term revenue risks from advertiser friction while supporting XI with delivery expertise. Ads Conversion Familiarity: Accelerate Non-Purchaser (NP) -> Purchaser (P) transition by increasing familiarity of ads for users who don't interact with ads frequently Post-Click Quality: Stop Purchaser (P) - >Non purchaser (NP) user conversions from bad purchase experiences. Modelling: Enhance quality and drive long-term revenue growth through modelling. Quality Science: Build the foundational end to end understanding for funnel quality signals to ensure its the efficiency, health and coverage.The team has consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality.Software Specialist (TL) - AI/ML - Monetisation Responsibilities:Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features and systems in detailUnderstand industry and company-wide trends to help assess & develop new technologiesPartner and collaborate with organization leaders to help improve the level of performance of the team and organizationIdentify new opportunities for the larger organization and influence the appropriate people for staffing/prioritizing these new ideasLead long term technical strategy and roadmap for large cross-company effortsSuggest, collect and synthesize requirements and create an effective feature and technology roadmapMinimum Qualifications:Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++Bachelor in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experienceExperience in bringing research results into productionProven track record of planning multi-year roadmap in which short-term projects ladder to the long-term missionExperience utilizing data and analysis to explain technical problems and provide detailed feedback and solutionsxperience communicating and working across functions to drive solutionsExperience in manipulating and analyzing complex, high-volume data from varying sourcesLarge experience with machine learning / AI technologiesPreferred Qualifications:PhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experienceExperience in Reinforcement Learning, GenAI, Large Language Models, etcExperience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)Experience in User Behaviour modellling, Long-term Value optimization or Causal LearningAbout 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.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is seeking a Software Specialist (TL) in AI/ML for monetisation to advance technical direction and cross team collaboration. You will translate research into scalable production systems and partner with data scientists, engineers and product leads to drive revenue growth and ad quality. The role requires advanced ML expertise (Python, PyTorch) and a track record of multi-year roadmaps, data-driven problem solving, and cross-functional influence across the ads ecosystem.

Meta invites an experienced Optical Deployment Engineer to join our network team in the UK. You will deploy, configure, and support a large-scale optical network spanning ULH terrestrial, regional metro and subsea paths connecting data centers and POP sites. You will create Engineering Design Packages, generate implementation plans, and provide technical leadership during deployment. The role requires collaboration with vendors to establish standards, review acceptance documents, troubleshoot

Meta is looking for an Optical Deployment Engineer (Subsea, LH & Metro) who will be responsible for the deployment and support of one of the world's largest and most complex networks. As a member of this team, you will have a unique opportunity to be involved in projects related to implementation & scaling of the optical network at Meta. The ideal candidate is an engineer who is can demonstrate working in a fast-paced environment and constantly evolving network. A quick learner, proactive, and highly motivated engineer that is not afraid to challenge the status quo, with a creative mind to find solutions and workarounds for day-to-day problems. As an Optical Deployment Engineer, you are not afraid to propose new ideas, gather constructive feedback from others, and push forward to make these ideas a reality.Network Engineer - Optical Deployment Responsibilities:Deploy, configure, and support a large-scale production optical network that spans ULH terrestrial, regional metros and subsea networks, interconnecting data centers and Point of Presence (POP) sites across EMEA.)Create and maintain Engineering Design Packages for Subsea, metro, regional and long-haul DWDM rings/systemsGenerate implementation plans and provide technical leadership and guidance during deployment activitiesCollaborate with vendors/manufacturers to evaluate new hardware/software and create optical standards for network deployment teamsReviewing Acceptance Documents provided by vendors and subcontractors deploying equipment on our networkProvide technical expertise to network provisioning engineers for troubleshooting out-of-service or faulty circuitsPlan, schedule and perform network maintenance, repair and upgrade tasks as neededWork closely with Network Engineering, Logistics and equipment vendors & fibre providers to ensure seamless introduction of new optical technologies into the production networkProactively contribute to documentation, automation and processes as they evolveThis role will involve some pre-planned travel from time to timeMinimum Qualifications:Demonstrated hands-on experience deploying optical networksExperience with optical network design, installation and maintenance for service providers or enterprise networksKnowledge of optical theory, transport technologies and the operation of optical transport systemsExperience with field-based work on Subsea Deployments, POPs, carrier hotels, data centers and central office environmentsExperience with optical test equipment and optical troubleshooting experience using C-OTDR, OTDR, OSA, BERT and optical power metersTechnical knowledge of various regional Subsea Technologies including modulation, subsea amplification, power feeding equipment etcExperience creating rack elevations and other planned/install/as-built documentationKnowledge of Cable Landing Station & Data Center design and operational best practicesPreferred Qualifications:Experience of communicating and coordinating tasks with carriers remotelyExperience analyzing situations, utilize systems, tools and troubleshooting to resolve technical issuesEffective time management and organizationExperience working in a global team environmentDemonstrated 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 technologiesAbout 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.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Ads is the largest revenue generator at Meta and Ads Quality represents around 20% of total revenues which are used to generate long term ads and organic engagement.Core Ads Quality is a unique team jointly optimizing for both quality and revenue, aiming at making this investment more revenue / quality trade-off efficient and generate long term revenue growth through user learning. Among others, Core Ads Quality focuses on: Finding the right trade-off between short and long term revenues Standardizing and optimizing quality treatment of ads across surfaces and page types Understanding user behavior with respect to ads quality Building a solid infrastructure around signals, labels and quality metricsWe work at the intersection of Ads, Machine Learning and User Behavior understanding. The nature of our work is very analytical, involving collaboration with our Data Scientist and a heavy focus on not only understand "what" but also "why". Despite having been created a couple of years ago, the Ads Quality space at Meta is still nascent and full of unexploited opportunities. The org is further structured into the following teams/sub-pillars: Integrity & Efficiency: Proactively cover long-term revenue risks from advertiser friction while supporting cross-functional teams with delivery expertise. Ads Conversion Familiarity: Accelerate Non-Purchaser (NP) -> Purchaser (P) transition by increasing familiarity of ads for users who don't interact with ads frequently Post-Click Quality: Stop Purchaser (P) to Non-Purchaser (NP) user conversions from bad purchase experiences. Modeling: Enhance quality and drive long-term revenue growth through modeling. Quality Science: Build the foundational end to end understanding for funnel quality signals to ensure the efficiency, health and coverage.The team has consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality.Staff Software Specialist - AI - Monetisation Responsibilities:Work on meaningful technical (ML and infra) problems at Meta's scale affecting multiple surfaces (Facebook, Instagram, Threads, )Fundamentally change how decisions are made across the business when investing on ads qualityDevelop novel, accurate AI algorithms and advanced systems for large scale applicationsDefine long-term plans and lead teams on executing themImprove the experience of users interacting with ads and help the company mission to establish valuable connections between users and businessesLead projects with clear top-line metric impactEnsure Ads Quality is at the forefront of AI technologiesMinimum Qualifications:Bachelor's degree in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experienceExperience in bringing research results into productionExperience in training, fine-tuning, and/or experimenting with foundation models beyond black-box useExperience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++Track record delivering successful products with large scale impactPreferred Qualifications:Experience in User Behaviour modeling, Long-term Value optimization or Causal LearningExperience in Reinforcement Learning, GenAI, Large Language Models, etcPhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experienceExperience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)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.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is seeking a Staff Software Specialist - AI for their Ads Quality team. The role involves solving technical problems at scale, developing AI algorithms to optimize ads quality, and leading projects with impactful metrics. Candidates should have a strong background in machine learning and programming, preferably with a Bachelor's or PhD in AI-related fields. Meta offers a collaborative environment aimed at innovative solutions and long-term revenue growth.

Meta is searching for a Staff Software Specialist - AI - Monetisation based in Greater London. In this role, you will tackle significant technical challenges affecting various platforms like Facebook and Instagram while developing innovative AI algorithms. You will lead projects that have a meaningful impact and enhance user interactions with ads. A Bachelor's degree in AI or related fields is essential, alongside experience in machine learning algorithms and infrastructure.

Meta is seeking Ads Engineers to join its engineering team, focusing on machine learning and optimization problems in ads or related products. The role involves leading projects with broad impact, mentoring engineers, and shaping technical direction to improve efficiency and prediction capabilities across massive social data. Strong emphasis on collaboration across functions and long-term roadmaps. Ideal candidates have extensive experience in ML, including recommendation systems and deep

Meta seeks a motivated and organized team player to join our growing European Privacy and Data Policy team. You will work on strategic engagement and outreach with privacy and data policy stakeholders in Ireland and the UK. This will involve working on cutting-edge data policy issues and building relationships with key stakeholders. The role will involve proactive policy development, project management, and the creation of networks across different sectors. You will work in a fast-paced, cross-functional environment and present to both internal and external audiences. This role involves working on novel public policy issues.Privacy and Data Policy Manager Responsibilities:Identify and monitor data policy issues affecting Meta in Ireland and the UKAnalyse legislative and regulatory proposals on privacy, data, and related technology issues in Ireland, the UK, and the wider European regionWork closely with cross-functional teams on a range of policy issues, including strategically drafting submissions and engagement plans for local policy audiencesDevelop proactive strategies and initiatives to address policy challengesEngage and build relationships with relevant stakeholders, including policymakers, academics, and NGOs in Ireland and the UKRepresent Meta at meetings and conferencesMinimum Qualifications:Bachelor's degree or higher in a relevant feild6+ years of professional experience in a public policy role, with experience in privacy, data policy, or related technology fieldsExperience in managing strategic outreach with a broad range of stakeholders within policy, advocacy, or government positionsExperience navigating cross-functional teams and prioritising competing project timelinesPreferred Qualifications: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 technologiesDemonstrated ability to integrate AI tools to optimise/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)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.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is looking for a Privacy and Data Policy Manager based in the City of Westminster, UK. In this role, you will address critical data policy issues, engage with stakeholders, and develop innovative strategies to tackle challenges in the privacy landscape. Applicants should have over 6 years of relevant experience, a Bachelor's degree, and a strong background in public policy related to data. Join Meta and help shape the future of social technology through responsible and ethical practices.

Meta is seeking Ads Engineers to join our engineering team. This role requires industry experience working on a range of AI and optimization problems in ads or related products. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer (Leadership) - Machine Learning Responsibilities:Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features & systems in detailUnderstand industry & company-wide trends to help assess & develop new technologiesPartner & collaborate with organization leaders to help improve the technical quality and delivery velocity of the team and organizationIdentify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideasSuggest, collect and synthesize requirements and create an effective feature roadmapDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceExperience leading projects with industry-wide impactExperience communicating and working across functions to drive solutionsExperience in mentoring/influencing engineers across organizationsProven track record of planning multi-year roadmap in which short-term projects ladder to the long-term visionExperience in driving large cross-functional/industry-wide engineering effortsSignificant experience in programming languages (Python, C++, or Java) with technical backgroundSignificant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methodsPreferred Qualifications:Experience in shipping products to millions of customers or have started a new line of productAbout 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.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.