META

Responsibility

• commerce has been a company-level top priority since the launch of Shops in May 2020
• meta is seeking Research Engineers to join FAIR, our world-class research lab
• business Engineering is looking for impact-focused, entrepreneurial engineers ready to bring their ideas and make a difference
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• the Commerce product group is creating the building blocks that power shopping products across the Meta’s Family of Apps
• collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• architect, implement and deploy new data models and data processes in production
• conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• as part of our teams, you will play a key role enabling personalisation end to end across our Commerce products
• our research spans different aspects of reinforcement learning with particular focus on unsup/self-supervised RL to build behavioral foundation models
• design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• perform data analysis to generate business insights
• develop creative machine learning software in support of audio research for Meta AR and VR
• define and manage SLA for all data sets in allocated areas of ownership
• interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs
• design and implement novel algorithms to solve audio research problems
• solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• build data expertise and own data quality for allocated areas of ownership
• you will get to learn and build on different tech stacks and languages
• research and prototype techniques and algorithms for 2D/3D object detection and recognition
• improve logging
• manage data warehouse plans for a product or a group of products
• you take responsibility for the engineering craft for your projects and drive changes to improve engineering craft in your organization
• help scale programs by contributing new features, bug fixes, documentation and other educational materials
• develop the code infrastructure needed to train and test models efficiently at scale in a variety of simulated environments
• plan and execute cutting-edge research to advance machine perception technology and user context understanding
• you are able to take problems and produce technical solutions through your own effort and by working with others
• design and build end-to-end systems and launch-plan strategies
• assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• support critical data processes running in production
• collaborate on building demos to illustrate scientific breakthroughs
• our work transcends technology and ensures the solutions we build translates into prosperity for all
• mentor and share knowledge with peers, creating a positive atmosphere amongst the team
• develop robust software for integrating multiple sensors and scene understanding systems
• you use and develop metrics to influence and accelerate the people around you
• implementing and testing machine learning models in a production environment
• optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
• solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• our code is designed to engineer and accelerate business growth
• we are seeking individuals to work with our reinforcement learning team to build novel algorithms grounded in solid principles that can scale to efficiently solve complex real-world problems

Requirements

• strong understanding of computer vision and 3D geometry concepts, with experience in developing and deploying computer vision applications
• bachelor’s degree or equivalent
• master's degree in a STEM field
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• bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• master's in a STEM field
• professional experience as an engineer and/or in a Game Technical Director role
• involved in developing immersive VR games or experiences
• bachelors or Masters degree in Computer Science, Mathematics, or related technical field
• experience thriving in a fast-paced work environment
• experiences in working with large-scale datasets through semi-supervision and self-supervision
• A minimum of 2 years of work experience in data engineering or similar role
• shipped at least one game using Unity, Unreal, or other leading game engine
• programming knowledge in Python
• curious, self-driven, analytical and excited to play with data
• experience with SQL, ETL, data modeling and Python
• experience working with TB to PB scale data
• background working on real-time gameplay mechanics or games systems
• knowledge of modern GPU pipelines and 3D rendering architectures
• knowledge of SQL
• experience in collaborating with individuals and organizations
• publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc
• experience shipping products requiring stringent runtime performance practices, such as complex mobile or 3D applications or games
• bachelor’s degree in Computer Science, Mathematics, or related field
• knowledge of database systems
• proficiency in PHP or equivalent programming languages
• experience running A/B experiments to measure impact of features
• lead-authored publications at peer-reviewed conferences
• experience with open source languages such as PHP, Python, Java, or JavaScript Frameworks
• experience contributing to open source projects, shared code repositories, and/or personal projects
• masters degree in Mathematics, Statistics, related technical field, or equivalent practical experience
• experience with large-scale A/B testing systems, especially in the domain of financial institutions or cyber security companies
• knowledge in audio, machine learning, information theory, and 3D geometry
• experience with annotation tooling and techniques for labeling and annotating data, including bounding boxes, keypoints, and semantic segmentation
• strong communication and collaboration skills
• experience working in production ML systems, with a focus on building solid hypotheses, metrics definition and experimentation
• strong mathematical and data analysis skills
• currently has, or is in the process of obtaining, a PhD degree in Computer Science or related fields
• experience working on multi-person code bases including open source or personal projects
• experience with developing machine learning models at scale from inception to business impact
• experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
• ability to work across teams
• proficiency in Python and PHP
• solid background on the foundations of machine learning and reinforcement learning
• experience with software design and architecture
• experience with open source contributions
• track record of driving consensus and building successful cross-functional partnerships
• passionate about creating user and business value and solving problems end to end
• metrics and impact focus. Ability to work backwards from measures of success. Identify impact and quantify it
• experience in working on complex machine learning code bases at scale
• experience in creating high-performance implementations in deep learning frameworks
• experience communicating technical concepts to non-technical audiences
• experience contributing to developer and platform documentation
• strong communication skills and the ability to work effectively in a team environment Knowledge developing and debugging in PHP/Python
• currently has, or is in the process of obtaining a Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• experience with data architecture design and data pipeline optimization
• bachelor's degree or PhD in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• experience in Merchandising / E-commerce industry
• experience collaborating within a research team to solve complex problems

Trade

• installation & Maintenance
• software Development

Earnings for position engineer

Current offers for the position:

Responsibility

• meta is in search of the world’s most creative and experienced engineering leaders
• targeting drives end to end ownership of Targeting products from Ads manager product surfaces, to deep delivery ML & Infra implementations
• the Autonomous Infrastructure Management team builds and operates a maintenance orchestration system for Meta's server fleet
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• messaging is core to people’s lives, enabling billions of users to communicate, share and build relationships
• the team builds tools that help Meta engineers write, execute and debug automated tests (i.e
• we embrace entrepreneurs as well as those who come from more established organizations
• we build a maintenance system for one of the largest fleets of computers in the world
• instagram DM is one of the fastest growing experiences on Instagram and is the #1 surface where teens spend time
• unit tests, integration tests and end-to-end tests)
• to help solve this problem, we are looking for an experienced Engineering Manager to lead the VR Friction team
• grow and manage a highly effective diverse QA team, including hiring, coaching, and mentoring team members
• be both highly technical and an effective people manager in an infrastructure domain
• providing People Management Support to the Engineers
• RL Test Infra Org supports both functional & non-functional testing frameworks & infrastructure
• these tools are focused on making the local developer experience for testing fast, reliable and productive
• build on existing and create new automation strategies, to enable and drive engineering teams across Meta to build automation at scale
• lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area
• driving the roadmap and execution against the long term strategy
• this tooling will be used to debug and edit 2D/3D applications for current and future MR/AR devices
• build product expertise to identify and close gaps in automation test coverage in our products
• work with your team and XFN partners to define and influence strategy
• establish team metrics for measurement of quality and operational excellence, and a consistent, regular process for assessment and improvements
• what we build today could one day be the norm
• the work has huge impact across Meta and is a critical part of making every engineer in the company more efficient
• join us today and help us shape the future of web development
• drive roadmap creation and execution
• lead the improvement and implementation of best practices, methodologies, and tooling to meet quality coverage needs for products
• so to be here today is to truly be at the heart of change and the frontier of what's to come
• in addition, the team is the center of supporting critical global regulations (i.e
• the team works closely with the Cross-Meta Integrity team as well as other teams across Messenger Org
• support a team of strong software engineers. Help them thrive and deliver strong results
• collaborate with various functions, drive engineering initiatives and have an impact at an organisational level
• be both highly technical, hands-on coder and an effective people manager
• be both highly technical and an effective people manager in a product or infrastructure domain
• support and grow the team’s technical talent and eng craftsmanship
• demonstrated ability to manage highly technical teams
• be both highly technical and an effective people manager
• define the team's roadmap and define strategy
• define the technical direction for this space, and uphold high engineering craft expectations
• be the advocate for testability, drive best engineering practices and defect prevention
• we're the people helping to define the metaverse
• communicate across functions and drive engineering initiatives
• digital Services Act), which align with the team’s overall mission and vision of increasing transparency of enforcements
• manage execution to ensure delivering business impact with high quality
• be an effective people manager with experience of supporting senior teams
• participate in technical design
• reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms
• our team supports QPL which is used across the Family of Apps, RL devices, and internal developer tools to measure the health of those products, for PREQ efforts .The data then flows into tools developed across the wider Client Foundation org making the data visual and actionable, and ensuring our customers ship healthy products.This new team will take full ownership of the customer experience using QPL, including the APIs and libraries we offer across mobile, web, VR and internal tools, as well as the tools used to configure and debug their data
• help team members deliver on the roadmap items by instituting processes for execution and tracking
• we're building products to power the future of work in the metaverse - enabling a world where you can collaborate and feel present with your teammates regardless of your physical location.Enabling the metaverse for businesses poses unique challenges and one of our focuses is on enabling our products to build deep trust amongst businesses and end users
• the Organic Engagement team is part of the wider Cross Meta Integrity Experiences organization The team’s mission is to increase transparency of Meta’s enforcements so that people trust Meta’s approach to integrity
• 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 engagement, better sentiment, organic engagement and compliance to policy and legal requirements
• work with key stakeholders to solve hard end-to-end problems, including other Workrooms teams and the VR org
• the React team at Meta is responsible for driving the development of one of the most popular and widely-used front-end frameworks in the world
• understand the intricacies of our products and identify gaps in automated test coverage
• we may not have all the answers
• develop product direction and technical vision. Build an effective platform to help internal customers gain in efficiency and business impact

Requirements

• experience building a Quality Engineering organization that is responsible for end-to-end validation for a critical system or application
• experience setting the technical vision for developing test automation and continuous integration
• proven track record of supporting technical teams
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• proven track record of Building and shipping large Scale E2E ML Based Products
• understanding of testing strategies including technologies for automated testing
• experience supporting infrastructure engineering teams
• experience of Managing Core Ads Products teams with top line Revenue Goals
• QA/testing automation experience
• experience and conviction around measures to quantify software quality
• strong problem solving skills and background in coding
• experience building 0->1 Products and Scaling Existing Product lines
• inclusive people management experience
• demonstrated ability to manage technical teams
• experience with CI/CD, Test Infrastructure and/or source code version control systems like Git and Mercurial
• demonstrated experience recruiting and managing technical teams, including performance management
• experience in iOS or Android
• experience building data-oriented teams. Especially those with exposure to data privacy and compliance
• experience supporting Infra engineering teams or working on internal developer tools
• experience building interactive, real-time 3D products
• experience building tooling for creators or developers
• A strong understanding of React, and it's community
• organizational, coordination, and multi-tasking experience
• knowledge of growing teams and/or organisations
• previous exposure to developing and executing Multi Year Product Strategies
• experience in automation for consumer electronics
• experience with Unity, Unreal Engine or other modern 3D game engines
• android development experience
• experience building relationships and influencing stakeholders across multiple disciplines
• BS / MS in Computer Science
• passionate about building healthy and highly productive teams
• experience supporting both product and infra engineering teams
• demonstrated ability managing teams that build developer tooling
• experience leading successful teams that shipped high quality commercial products
• 2D/3D graphics experience
• experience working with external partners and service providers
• strong collaboration skills
• track record of growing senior engineers

Trade

• management
• information Design & Documentation

Earnings for position engineering manager

Current offers for the position:

Responsibility

• we are the teams who create all of Meta's products used by billions of people around the world
• every month, billions of people access Facebook products using mobile devices from across the world
• meta Security team builds large-scale infrastructure, systems, and products to prevent, detect and respond to security threats at Meta
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• we are seeking a senior engineer to help us drive forward our agenda for Data Retention in Meta
• integrity is one of the highest-priority areas for our company
• full stack web/mobile application development with a variety of coding languages
• work closely with cross-functional teams to understand features, operation, and specify enhancements
• work closely with our product and design teams to build new and innovative application experiences for the iOS platform
• drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• bring Meta's immersive MR capabilities to developers through robust and intuitive SDKs for Unity, Unreal Engine and other platforms
• design and deliver interactive features for in-VR social presence
• lead complex technical or product efforts involving many engineers
• create tools / tutorials / libraries that will make it easy for Unreal developers to develop Mixed Reality apps and games
• leading projects or small teams of people to help them unblock, advocating for ML excellence
• build tech, tools and pipelines for generating very high quality digital representations of people
• set clear guardrails to ensure all work products nail enterprise security expectations
• you will learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving
• we are seeking full-time iOS Engineers to join our mobile teams
• create consumer products and features using internal programming language Hack
• optimizing and improving video codec efficiency, encode rate control, speed, video, pre/post-processing and error resilience
• implement custom native user interfaces using the latest iOS programming techniques
• effectively communicate complex features and systems in detail
• influence Meta's Mixed Reality roadmap to help create a thriving ecosystem of realtime 3D spatial applications and games
• work with product design and technical art to create delightful experiences for our users
• provide technical guidance and mentorship to peers
• collaborate with cross-functional engineering and research teams in computer vision, machine learning, graphics and art
• adapt standard machine learning methods to best exploit modern parallel environments
• architect and implement efficient and reusable systems that drive animation in complex real-time cross-platform applications
• our work spans many Meta systems and data egress points, and feeds into Facebook's Download Your Information features
• the ideal candidate will have proven design experience, in-depth understanding of distributed data systems and knowledge of retention methodologies
• implement web or mobile interfaces using XHTML, CSS, and JavaScript
• debugging and diagnosing quality of end-to-end video experience on lossy networks in real-time communication scenarios
• build reusable iOS software components for interfacing with our back-end platforms
• understand industry & company-wide trends to help assess & develop new technologies
• create frameworks, integrations and features that power metaverse for work application portfolio
• implement the features and user interfaces of Facebook products like News Feed
• develop prototypes for future AR/VR experiences, drive continued development, and integrate robust solutions into product
• develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

Requirements

• experience leading projects with industry-wide impact
• B.S. Computer Science or related field
• prior experience in shipping VR, AR or MR games or other interactive applications
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• javaScript experience, including concepts like asynchronous programming, closures, types, and ES6
• experience with React and React Native
• proficiency in full stack coding languages
• hands-on experience of improving performance, reliability and quality of WebRTC based stacks
• experience with character animation and behavior technology and pipelines
• bachelor’s degree in Computer Science, Computer Engineering or equivalent combination of education and experience
• experience with filesystems, server architectures and distributed systems
• B.S. Computer Science or related technical field
• experience building security products and processes to protect enterprise assets
• masters degree or PhD in Computer Science or a related technical field
• solid programming experience
• vast experience communicating and working across functions to drive solutions
• experience in shipping products to millions of customers or have started a new line of product
• experience with API or tooling design and implementation for realtime 3D applications
• experience as an engineer building and shipping features within games or 3D interactive products
• experience in character animation
• HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility
• relevant experience building large-scale applications or similar experience
• experience with WebRTC and SFU and MCU architectures
• experience with frameworks such GStreamer or ffmpeg
• strong understanding of 3D math and linear algebra
• proven extensive experience of object-oriented software development experience
• experience with Unreal engine
• experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
• exposure to architectural patterns of large scale software applications
• experience leading projects with company/industry-wide impact
• experience with developing machine learning models at scale from inception to business impact
• proven experience to translate insights into business recommendations
• significant experience in mentoring/influencing senior engineers across organizations
• experience building and scaling large products or systems
• bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• familiarity with developing 3D pipelines and processing models
• experience with browser APIs and optimizing front end performance
• experience as an owner of a particular component, feature or system
• understanding of signalling concepts and familiarity with traditional VoIP applications
• understanding of and experience with video game physics
• 5 years experience with Unreal
• proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
• deep experience communicating and working across functions to drive solutions
• experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable
• proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision
• experience with either proprietary or commercial 3D engines
• familiarity with commercial or proprietary game engines
• understanding of 3D graphics concepts
• demonstrated experience driving change within an organization
• experience completing projects at large scope
• good understanding of video and audio compression techniques
• experience with C# or similar programming languages
• experience building maintainable and testable code bases, including API design and unit testing techniques
• experience developing, debugging, and shipping software
• expert knowledge developing production level ML products
• experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

Benefits

• mutual

Trade

• software Development
• information Design & Documentation
• electrical Engineering
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• installation & Maintenance

Earnings for position software engineer

Current offers for the position:

Responsibility

• provide vision, oversight, and guidance on all work related to the global Integrity Policy Management team
• be the main point of contact for your book of business and build rapport with clients
• developing AI Strategy on specific issues from inception to completion
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• help craft and implement actor-level and behavioral policies that take into consideration the needs of a global community
• establish team goals, priorities, and KPIs
• increase adoption, retain customers and identify growth opportunities in each account
• capacity building for the greater policy team on AI policy issues, informed by deep technical expertise and experience
• collaborate with Policy, Product, Operations, Communications and External Stakeholders to drive policy improvements
• work closely with internal stakeholders to ensure client value, such as Sales, Solution Architects, Product and Marketing
• assessing and evaluating the impact various AI standardisation efforts
• act as a global point of contact for high-priority escalations and manage internal communications for policy issues
• provide thought leadership and drive structure for the broader ISSO GRC function, as well as for the team
• assess and make calculated decisions to maximize ROI and efficiency by leveraging partnerships with the internal analytics team
• regularly connect with your clients to identify, document and address their needs and connect them with relevant internal teams
• preparing leaders for AI engagements, and engaging with policy makers and influencers in the space
• articulate policy philosophy and changes to relevant parties, including management, operations, and other internal and external stakeholders
• facilitate communication and collaboration with XFN partners
• lead collaboration, alignment, and execution across XFN partners
• share support materials, event details, research requests and product updates with clients
• bridging AI policy & regulatory developments with product needs and business priorities
• proactively identify gaps or conflicts in existing policies and develop scalable solutions
• ideate and build highly detailed execution plans for a variety of RL initiatives across all product lines
• be a product expert and a functional Workplace and Immersive technology consultant to help clients increase adoption
• build relationships with and understand the perspectives of partners on internal teams, such as Public Policy, Communications, Operations, Product, and Legal
• create, maintain, and enforce processes for all operations globally in store and with 3rd party labor partners
• get executive buy-in for product, vision and commercial plans
• NIST AI RMF), bias mitigations, safety and robustness, and transparency tools such System Cards to leadership, policy org and product teams
• prioritize large volume of projects across thousands of retail doors, most with tight deadlines and extreme complexity, with the guidance of the Global Field Merchandising Manager
• provide updates to senior management and leadership
• review instructions and execution for multiple projects simultaneously with a keen eye for detail
• suggest existing/new products or services to grow your book of business, promote adoption and enhance client satisfaction
• partner closely with Channel Marketing Managers, Visual Merchandising, Display Technology, Strategic Account Managers, 3rd party labor partners, Analytics and Field Sales team members on a regular basis to execute initiatives with the utmost efficiency and accuracy
• give accurate information to clients and ensure that they are satisfied
• facilitating escalations, decision support, and removal of blockers when necessary
• act as liaison between global 3rd party labor partners, fixture display companies, channel marketing managers and field sales on any issues that come up in our retail partners globally
• as well as operating models and standards and ensure team members understand program goals and are able to effectively able prioritize and execute on deliverables
• share relevant expertise with the Policy Management team by providing them with the necessary support and training
• critical to understand various retailer 3rd party labor operations to drive best in class execution
• evaluate methods to streamline development, implementation and socialization of compliance obligations
• manage the reporting of the results of the field execution to internal stakeholders
• establishment of learnings, best practices, standardized frameworks and tools across programs and projects
• engage with internal technical and non-technical teams to develop a working relationship and provide concise and accurate regulatory and audit responses when requested
• join the centralized Policy on-call roster to help field policy questions on high priority escalations, with an expectation to think critically about complex problems and exercise excellent judgment under time pressure
• manage 3rd party labor meetings to ensure deliverables are met
• synthesising knowledge and understanding of responsible AI development processes: Risk & Impact Assessments (inc
• this role may involve exposure to potentially graphic and / or objectionable content including but not limited to graphic images, videos, audio, and writings, offensive or derogatory language, self-injury, animal abuse, and other content which may be considered offensive or disturbing
• understand display fixture production process and installation implementation processes to properly prepare workback schedules and deliverables to share cross functionally both internally and externally

Requirements

• bachelor’s degree
• knowledge of Meta products and principles
• familiarity with retail partners and their guidelines / processes
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• B2B SaaS experience working within the collaboration space
• advanced degree and/or certification
• JD or Master’s degree or equivalent in relevant subejct
• experience in or with the technology industry
• experience within a brand executing in-store initiatives through merchandising
• experience owning C-Level executive relationships
• preference for Immersive Technology VR / MR
• experience moving seamlessly from strategy to execution and delivering tangible results
• bachelor's degree in political science, policy, law, marketing, social science, computer science or related field
• demonstrated analytical-thinking and problem-solving experience
• experience in planning large-scale executions and installations from concept stage through prototype and production stages
• strategic thinker who is comfortable in a fast-paced, always-on, highly ambiguous start-up environment
• working familiarity with key privacy and AI policy stakeholders and experts from civil society, academia, and government
• experience communicating and building consensus across functions
• extremely high level of accuracy and attention to detail with ability to track and articulate the intricacies of complex fixture installations
• experience in working in a highly cross-functional setting
• ability to adapt to a rapidly changing product and respond strategically to customer needs
• knowledge of global content regulations, content moderation practices, and internet trust and safety best practices
• experience working directly with senior business executives and/or high-ranking government officials
• strong written and verbal communication
• experience managing relationships with cross-functional stakeholders and external vendors
• experience maintaining budgets and fiscal responsibility
• exceptional interpersonal skills and the ability to develop strong working relationships at all levels of management, both inside and outside Meta
• communications experience or a related field an advantage
• experience meeting multiple objectives in an entrepreneurial environment with little supervision
• strong interpersonal skills, approachable and flexible
• negotiation, commercial skills and communication skills
• experience with navigating various organizational environments where culture and structure vary
• experience presenting to large executive teams
• proven ability to understand the unique operating conditions within each retailer and how that impacts the planning and executing of the initiatives for all product lines
• excellent communicator, superb verbal, and written communication
• 8+ years experience in a Sales, Customer Success or Account Management role with commercial responsibility
• 10+ years of experience in trust & safety, Integrity, policy, transparency reporting, governance, compliance, or risk management
• advanced program management skills including planning, organizing, pre-empting risks/blockers, and communicating with stakeholders to deliver successful programs or projects, while operating with minimal guidance
• 5+ years of experience working in AI policy, AI product management, AI programme management, or related field
• 3+ years experience in project management, policy development, government, or operations
• 5+ years experience managing a diverse, dispersed team
• demonstrable knowledge of the EU AIA, US, UK, and other key jurisdictions and how these regulatory environments and broader policy debates impact Meta’s business
• extensive knowledge of global AI regulations and their impact and relevance for foundation models, generative AI, frontier models, transparency, fairness, and safety
• excellent at finding the root cause of issues or gathering the necessary cross-functional members to find that cause or solution to an issue
• minimum 10+ years of professional experience on either the brand side of retail in-store merchandising or the vendor side of retail in-store merchandising for a Consumer Electronics company

Benefits

• mutual

Trade

• retail
• management
• arts & Entertainment
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• Management

Earnings for position manager

Current offers for the position:

Responsibility

• lead applied research to advance the science and technology of deep image/video/text generation for applications in ad creative generation
• grow a team of domain experts within LLM Research of Generative AI
• influence and drive strategy for long-term ambitious research to advance the science and technology of intelligent machines
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• develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques
• lead research to advance the science and technology of intelligent machines
• help Advance the science and technology of intelligent machines
• develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques
• work towards long-term ambitious research and productionalization goals, while identifying intermediate milestones
• develop technical vision, long-term strategy and set direction for the team and the organization
• based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
• lead research that enables learning the semantics of data
• contribute to research that enables learning the semantics of data
• drive execution of developing models and systems
• call out opportunities and risks across multiple research teams
• perform research to advance the science and technology of intelligent machines
• devise better data-driven models of human behavior
• communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
• influence progress of relevant research communities by producing publications
• perform research that enables learning the semantics of data
• work towards long-term ambitious research goals, while identifying intermediate milestones
• lead research that extends the capabilities of foundation models through reasoning and the use of tools
• lead research to advance audio and speech technologies for production use cases
• be a role model for inclusive behaviors and a culture that values, respects and taps into different backgrounds and perspectives
• collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
• independently lead projects and work cross-functionally to bring research advancements to production teams and Meta Products
• work towards long-term ambitious research and productization goals, while identifying intermediate milestones
• mentor researchers
• publish research results and contribute to research that can be applied to Meta product development
• contribute research that can be applied to Metas product development
• disseminate research results

Requirements

• experience in leading research projects
• phD in deep learning, artificial intelligence, and/or related technical field
• experience in a faculty, industry, or government research position with primary emphasis on AI research
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• significant experience in a faculty, industry, or government research position with primary emphasis on AI research
• must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
• intent to return to degree program after the completion of the internship/co-op
• knowledge in a programming language
• experience holding a faculty, industry, or government researcher position in a role with primary emphasis on AI research
• intent to return to the degree program after the completion of the internship/co-op
• has a Ph.D. or is in the process of obtaining a PhD degree in computer vision or machine learning
• experience with diffusion models for image/video generation with publications on this topic on NeurIPS, CVPR, ICML, ICLR, ICCV, or ECCV
• extensive hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
• experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc
• track record of translating research into business impact
• must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• first-author publications at peer-reviewed AI conferences
• publications in machine learning experience, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• experience showing first-author publications at peer-reviewed AI conferences
• must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• work experience/internship in an industry, or government lab , in a role with primary emphasis on AI research
• extensive experience supporting and leading teams of software engineers and research scientists
• experience and knowledge of training LLMs
• experience building and executing on long-term research strategies
• experience working with a variety of cross-functional peers and stakeholders
• experience building systems based on machine learning and/or deep learning methods
• experience working and communicating cross functionally in a team environment
• experience leading a team in solving modeling problems using AI/ML approaches
• experience driving original scholarship in collaboration with a team
• experience in applying research to production problems
• experience working within Python environments such as pytorch
• experience in generative AI research
• proven technical vision in where the field of generative AI
• experience communicating research for public audiences of peers, as well as non-technical audiences
• experience in managing research teams in academic and industrial settings
• experience in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
• ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• experience in real-time computer graphics or modern GPU programming
• experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision
• knowledge and hands-on experience working with 3D and projective geometry, in addition to image-space computer vision
• demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories
• currently has, or is in the process of obtaining, a PhD degree in Computer Science or similar relatable field
• additional AI research experience in computer vision and/or NLP
• phD degree in Computer Science, Mathematics, or similar quantitative field
• experience with cross functional collaboration with product and platform teams, as well as non-engineering functions
• strong command of the mathematics necessary to conduct rigorous theoretical research
• publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
• experience communicating research for public audiences of peers
• experience with designing software for inertial/optical/wireless sensing devices
• intent to return to degree-program after the completion of the internship
• experience in developing and debugging in Python and on Pytorch
• previous internship and/or research assistantship in an AI research organization
• experience in AI research beyond completing a PhD
• demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management
• experience solving analytical problems using quantitative approaches
• experience holding a faculty, industry, or government researcher position
• experience working in a Unix environment
• must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• experience in AI research in the domains of audio and speech processing
• experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
• experience in developing and debugging beyond ML experimentation
• experience setting up ML experiments and analyze their results
• experience in theoretical and empirical research and for addressing research problems
• hands-on experience implementing 3D computer vision algorithms, Sensor Fusion, Reconstruction, Object Tracking, Mapping, and Image Processing
• experience setting up ML experiments and analyzing their results
• ability to communicate complex research both in writing and orally for public audiences of peers
• familiarity with one or more deep learning frameworks

Trade

• information Design & Documentation
• scientific Research & Development
• mathematics

Earnings for position research scientist

Current offers for the position: