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We are seeking a talented QA Engineer to help ensure top product quality in our rapidly growing company. You will be focused on testing our core product, conducting end-to-end testing across various technologies, along with our proprietary AR and AI solutions.

Responsibilities:

Develop comprehensive test plans and test cases focused on both backend and frontend features to ensure product quality across the stack.

Take primary responsibility for querying data, testing backend and frontend data changes, and ensuring data integrity, performance, and UI functionality.

Lead efforts to identify, document, and troubleshoot errors in both backend and frontend areas, providing detailed analysis and potential solutions.

Collaborate closely with Development, Product, and other teams to clarify specifications, address issues/concerns, and identify risks throughout the software development life cycle, ensuring alignment across backend and frontend requirements and dependencies.

Actively contribute to a scrum team, working with developers, DevOps, and Product teams to ensure comprehensive testing coverage.

Lead the QA effort in sprint planning and retrospectives, providing insights into backend and frontend testing considerations.

Develop, apply, and maintain manual and automation scripts for both backend and frontend testing of new and existing products, with a focus on enhancing full-stack test automation.

Continuously update and refine testing methodologies, tools, and processes to improve testing effectiveness across backend and frontend technologies and practices.

Familiarity and practical experience using AI tools for testing

We are looking for a Senior Full Stack Engineer to join our dynamic and fast-paced R&D team and play a key role in shaping the future of our cutting-edge product.

As a senior member of the Full Stack team, you will take ownership of core features and contribute to the design, architecture, and implementation of production-grade systems. Youll collaborate closely with cross-functional teamsincluding AI, web, mobile, QA, and productwhile mentoring and guiding junior engineers to uphold engineering excellence.



Key Responsibilities
Lead the design, development, and deployment of complex and scalable full-stack features.

Own technical decisions and drive architectural discussions to ensure long-term scalability and performance.

Define and enforce best practices in coding processes across the development lifecycle.

Collaborate with cross-functional stakeholders to deliver end-to-end solutions, from ideation to production.

Mentor and guide team members through code reviews, knowledge sharing, and technical leadership.

Stay up-to-date with emerging technologies and contribute to tech roadmap planning.

Were looking for an expert 3D Computer Vision Engineer to lead and implement advanced algorithms for scene reconstruction, plane estimation, and 3D object detection. You will focus on geometry-based approaches to build precise spatial understanding of indoor environments, directly influencing production-grade mobile applications.

This hands-on role is ideal for a senior engineer who wants to own the development process end-to-end while collaborating with product and engineering teams to deliver immersive, performant 3D systems that redefine how people engage with technology.


Responsibilities:

Design, implement, and optimize advanced 3D vision algorithms for scene understanding.

Work with depth maps, AR data, and point clouds to extract and analyze room structure.

Transition prototypes into scalable, production-ready implementations on mobile platforms.
Collaborate closely with product and engineering teams to ensure seamless system integration.

Contribute to architectural decisions and set technical direction for 3D spatial computing.

Maintain clean, well-documented, and modular code.

Act as a technical mentor while remaining deeply hands-on with the codebase.

Required Data Engineer, Product Analytics
As a Data Engineer, 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 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 us, 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
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
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.

Required Product Growth Analyst
As a Product Growth Analyst, you will help grow products used by billions of people and businesses all over the world across our apps including Facebook, Instagram, WhatsApp and Oculus. The Product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle. The role requires using a mix of skills including analysis, creative product ideation, and cross-functional collaboration. Success in the role is tied directly to product goals and the team rewards results-based performance.
The Growth practice was started right here, putting you at the forefront of the industry with great opportunity to learn about growth from experts. It is a lean and highly regarded team with a strong and close-knit culture and emphasis on regular sharing of successful strategies, tactics and insights across products. Our team values are to own the outcome, focus on driving sustainable impact, and put team success first. There is great opportunity to be a leader and influence the direction of high-visibility and high-impact initiatives, and to see your work come to life in some of the most widely used apps in the world.
An equal opportunity employer that provides competitive benefits. Our benefits include generous paid time off, retirement investment plans with employer matching, holistic wellness program including physical and mental health and internal community and mentorship groups.
Product Growth Analyst Responsibilities
Drive long-term growth of our products through a combination of data analysis, product ideation, and experimentation to optimize product experiences
Use data to understand trends in user behavior and product usage to influence strategy
Identify opportunities to drive growth and prioritize them to maximize long term growth
Execute on projects by working closely with engineering, product management, data science and other members of product teams to land impact on product goals. Lead experimentation from designing tests to analyzing results in order to make launch decisions.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
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 Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Infrastructure Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are hiring Engineering Managers to lead rapid scaling internationally. We want the most creative and experienced engineering leaders to join us in giving people the power to build community and bring the world closer together. We are looking for Software Engineering Managers with progressive technical experience, a demonstrated progression of management scope and a passion for managing outstanding engineers in a fast-paced environment.
Software Engineering Manager, Tel Aviv Responsibilities
Be a highly technical, hands-on and an effective people manager
Mentor and support engineers' growth and success, help them to find and focus on their strengths
Lead and guide engineering culture to form a high performance team
Communicate across functions and drive engineering initiatives
Participate in technical design
Be a subject matter expert in a product domain
Define and influence product strategy
Maximize efficiency in a constantly evolving environment where process is fluid and creative solutions are the norm
Contribute to the overall maturity of deployment and other processes.

Required Data Engineer, Product Analytics
As a Data Engineer, you will shape the future of people-facing and business-facing products we build across our entire family of applications. 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 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 us, 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.

We are seeking experienced full-stack 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 - Infrastructure Responsibilities
Design core, backend software components
Code using primarily C/C++, Java, PHP and Hack
Interface with other teams to incorporate their innovations and vice versa
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Establish self as an owner of a particular component, feature or system with expert end-to-end understanding
Successfully completes projects at large scope while maintaining a consistent high level of productivity.

The XR Tech Research team is seeking highly motivated Research Interns to join us in advancing the next generation of video and image generation technologies. Our team is dedicated to conducting foundational, state-of-the-art research in video generation, with a strong focus on pushing the scientific and technical boundaries of generative AI to enable future immersive and interactive experiences.
As a Research Intern, you will work alongside leading experts in computer vision, generative modeling, and multimodal learning, contributing to projects at the frontier of large-scale video and image generation models. Our work not only advances the academic field but also lays the groundwork for future XR systems and applications, shaping how people will interact, create, and connect in virtual and real-world environments.
About the Team
The XR Tech Research team has a long-standing history of groundbreaking contributions to generative AI research across modalitiesfrom images and video to 3D and beyond. We are at the forefront of advancing foundational video generation models, collaborating with world-class research groups, and driving the next wave of innovation in immersive technologies. Our work is both academically impactful and tightly connected to real-world applications, enabling breakthroughs that redefine the future of XR.
Research Intern, Video & Image Generation (PhD) Responsibilities
Conduct research on advanced topics in video and image generation, including but not limited to generative diffusion and transformer architectures, spatio-temporal modeling, and multimodal integration.
Design, implement, and evaluate novel algorithms and model architectures.
Collaborate closely with researchers and engineers across the XR-Tech group and broader FAIR/GenAI teams.
Contribute to publications in top-tier conferences and journals in AI, computer vision, and machine learning.
Present findings and share insights that help shape both ongoing research and future directions.

Required Production Engineer
Production Engineers (PEs) are specialized software engineers who develop the underlying infrastructure for all of our products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently.
PEs work across our product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide.
Our PEs are embedded in teams across the spectrum from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds.
Working alongside some of the best engineers in the industry, youll contribute to code and systems that go into production and are used by millions every day. In Production Engineering, we navigate uncharted waters daily solving problems at a scale few others face.
Production Engineer Responsibilities
Own the end-to-end reliability and scalability of the platforms, services, and products built on top of our underlying infrastructure and network
Write and review code, develop documentation and capacity plans, and debug the hardest problems, on some of the largest and most complex systems in the world
Together with your engineering team, you will share an on-call rotation and be an escalation contact for live service incidents
Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by billions of users all around the world.