דרושים Meta

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

Meta Security is looking for a Security Engineer with experience in threat modeling, TTP identification, and detection engineering. Youll work alongside Software Engineers and Offensive Security Engineers to identify critical assets, assess the top risks, and evaluate potential attacks against Meta systems. You will be working across engineering teams supporting Production and Corporate systems to develop detection and response automation leveraging both industry-standard and custom detection and response platforms. Youll generate detection ideas utilizing some of the worlds largest data sets and build on top of hyper-scale data pipelines.
Security Engineer - Surface Coverage, Detection Engineering Responsibilities
Lead cross-functional projects to improve our capabilities to effectively detect and respond to security incidents
Review security architecture of large-scale custom and commercial systems and independently propose logging, detection and prevention controls
Perform TTP-based Threat Modeling for a wide variety of assets including endpoints, mobile, servers, internal services, public & private cloud environments and networking equipment
Perform analysis against logs from a variety of sources (e.g., individual host logs, network traffic logs) to identify potential threats and detection ideas
Build response workflows and actions that auto-resolve false positives and provide context scaling our ability to investigate
Support security incident response in a cross-functional environment and drive incident resolution
Design and implement attack testing automation to validate detection coverage
Build logging pipelines using our custom datasets and infrastructure

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimisation problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

Meta Security is looking for a Security Engineer with experience in threat modeling, TTP identification, and detection engineering. Youll work alongside Software Engineers and Offensive Security Engineers to identify critical assets, assess the top risks, and evaluate potential attacks against Meta systems. You will be working across engineering teams supporting Production and Corporate systems to develop detection and response automation leveraging both industry-standard and custom detection and response platforms. Youll generate detection ideas utilizing some of the worlds largest data sets and build on top of hyper-scale data pipelines.
Security Engineer - Surface Coverage, Detection Engineering Responsibilities
Lead cross-functional projects to improve our capabilities to effectively detect and respond to security incidents
Review security architecture of large-scale custom and commercial systems and independently propose logging, detection and prevention controls
Perform TTP-based Threat Modeling for a wide variety of assets including endpoints, mobile, servers, internal services, public & private cloud environments and networking equipment
Perform analysis against logs from a variety of sources (e.g. individual host logs, network traffic logs) to identify potential threats and detection ideas
Build response workflows and actions that auto-resolve false positives and provide context scaling our ability to investigate
Support security incident response in a cross-functional environment and drive incident resolution
Design and implement attack testing automation to validate detection coverage
Build logging pipelines using our custom datasets and infrastructure

Financial Integrity Compliance and Operations Enablement is responsible for driving trust and integrity for users and businesses, across Meta's payment ecosystem (Facebook, Instagram, Whatsapp, Messenger and Reality Labs), while accelerating growth.

We mitigate financial compliance risks and improve Meta's financial compliance posture, allowing Meta to continue and scale its monetization efforts, by detecting and removing high risk harms from our ecosystem.

We are seeking an experienced and skilled product manager to lead product strategy, drive alignment with partners, and drive execution to implement innovative controls, capabilities and solutions across the Financial Integrity Compliance platform.
Product Manager, Financial Integrity Compliance and Operations Enablement Responsibilities
Identify, prioritize, and deliver clear short-, mid-, and long-term goals aligned with business priorities, and guide the team through key milestones
Drive the team through strategy setting, strategy, OKRs and execution, considering technical and analytical constraints
Partner closely with XFN leads (Engineering Manager, Data Science, Data Engineering, etc.) and partners (product teams, compliance, legal, operations) to drive impact together
Actively work with teams across Monetization and Integrity orgs to identify synergies and initiate partnerships to create business value
Collaborate with Financial Compliance Operations to optimize the efficiency and effectiveness of our run-the-business activities
Effectively communicate and influence stakeholders at all levels of the organization

Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
AI Research Scientist - Generative AI Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to Meta's product development.

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Front end Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer, Front End Responsibilities
Lead complex technical or product efforts involving many engineers
Provide technical guidance and mentorship to peers
Implement the features and user interfaces of Facebook products like News Feed
Architect efficient and reusable front-end systems that drive complex web applications
Collaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing products
Identify and resolve performance and scalability issues

Most of the worlds population is facing data, network or device constraints. Lite Apps are built to provide this large, growing audience an uncompromising Facebook / Instagram experience, tailored to their unique needs.

As a Product Manager in the Lite Apps team, you will be a key player in the process of defining, designing and executing the mobile experience of hundreds of millions of users around the world.
Product Manager, Facebook & Instagram Lite Apps Responsibilities
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers to help innovate and execute product initiatives at a rapid pace.
Lead the ideation, technical development, and launch of innovative products.
Define and analyze metrics that inform the success of products. Identify and track key performance metrics.
Maximize efficiency in a constantly evolving environment where the process is fluid and innovative solutions are the norm.
Is the primary driver for identifying significant opportunities, driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.
Understand Metas strategic and competitive position and deliver products that are aligned with our mission and recognized as best in the industry.