Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities
Collaborate with Design, Architecture, Process Technology, and Silicon Engineering teams to develop new product bring-up, verification, characterization, qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced manufacturing technologies.
Verify test solutions on pre-silicon models (simulation or emulation).
Develop and validate test programs on Automated Test Equipment (ATE) platforms in preparation for High Volume Manufacturing, working with ATE Vendor and internal cross-functional teams.
Support product sustain, including volume data analytics, test time and yield improvements, assess test escapees and Return Merchandise Authorization (RMA) returns, localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, quality and reliability teams to implement root cause corrective actions.

Be a part of a fast moving product team with a great track record of landing significant impact. The position will involve collaborating closely with product teams to capture our users intentions and applying tech skills to build end to end ML solutions that will drive performance and help better personalizing our ads experiences on top of Meta's state of the art ad systems. 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.
Machine Learning Engineer - Core Ads Ecommerce Responsibilities
Partner with product teams and other engineers to solve Shops Ads business problems through ML
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
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
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables that will tie the ML solutions you develop to our ad delivery stack

Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Software Engineer, Computer Vision - Reality Labs Responsibilities
Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences
Assist in goal setting related to project impact, AI system design, and ML excellence
Drive large efforts across multiple teams
Mentor other AI Engineers & improve the quality of AI work in the broader team
Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

Our IoT security team is looking for a passionate and experienced developer to help us build the next generation of security solutions. In this role you will take part in the development of new and innovative autonomous security products that provide cloud-level and on-premises solutions to our customers.

You will help solving intricate technical challenges, conduct in-depth research, and utilize advanced networking and security expertise to drive our products forward.

This is a great opportunity to take part in the early-stage development of our products, performing dynamic and meaningful roles in various fields. If you're passionate about pushing the boundaries of security technologies, we welcome you to join us in shaping the future of cyber security.

Key Responsibilities
Take part in the development of exciting new security solutions, including automatic policy enforcement, autonomous firewall capabilities, and AI-driven protection flows.
Design, implement, and drive our security suite to the next level.
Work closely with other developers, QA, product management and customers.
Research new technologies, appliances, and protocols, coming up with innovative ideas, run proofs of concepts and be an important part of the product early stages development.

We are looking for a Talented Software engineer to be a key player in our fast-growing Core Network Group R&D department. You will be building and developing a next-generation SASE solution. Dive into the world of microservices, distributed systems, networking, and scalable software design, and leave your mark on cutting-edge developments impacting millions of users and organizations.

We are looking for a proactive, fast learner, innovative engineer who is ready to revolutionize the industry.
Key Responsibilities
Writing scalable, robust, testable, efficient, and easily maintainable code and services that are part of our Core Network as a Service components
Develop advanced services of cloud network solutions
Maintain high-performing, scalable, and testable code
Practice peer review and collaborative programming

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
Publish research results in top-tier conferneces and at leading journals
Actively identify new opportunities within Meta's long term roadmap for data science contributions.

Our mission is to pioneer advanced Feature and ML Platforms to accelerate the Financial Integrity org, by providing an uncompromised top industry risk, compliance and customer care experiences

AI is one of Metas leading investment areas as part of the financial activity expansion in our portfolio of products. As part of this, we are building best-in-class infrastructure using best-in-class ML technologies

The team is composed of software engineers, machine learning engineers, data scientists in developing state of the art backend systems and ML Infrastructure and our focus is to continue to lead industry standards in the FinTech space.
Software Engineer, Infrastructure Responsibilities
Lead complex technical efforts across many engineers
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
Set direction and goals for the team regarding project impact, product quality and engineering efficiency
Lead major initiatives, projects, teams, roll-outs and phased-releases
Helps onboard new team members, provides mentorship and enables successful ramp up on your team's code bases
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

We are looking for C++/C# Developer to join the Software Windows agent Team.

This role is perfect for a highly experienced software developer who is familiar with the networking and security world. As an integral part of our R&D, youll be working with a motivated agents team and the software group that is responsible for multiple desktop and mobile device agents.

This job is located in Tel Aviv (hybrid).
Key Responsibilities
Develop scalable and secure agents on the Windows platform
Research and POC new technologies
Work with developers from other agent teams and with backend teams
Review and train junior employees with their designs
Initiate and innovate to promote business needs

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities
Collaborate with Design, Architecture, Process Technology, and Silicon Engineering teams to develop characterization and manufacturing test solutions for new High Performance Computing (HPC) products in advanced manufacturing technologies.
Validate test solutions on system-level platforms and prepare for mass production.
Work with hardware and software teams to evaluate functional device yield and performance across various operating conditions, characterize hardware/software interaction, and develop effective production screens to reduce Defective Parts per Million (DPPM).
Assess test escapees and RMA returns, localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, quality, and reliability teams to implement root cause corrective actions.

Our Tel-Aviv team develops machine-learning models that serve billions of buyers daily. To do so, we develop state-of-the-art recommendation and ranking systems. We work closely with domain experts to design features and embedding spaces best fitted for eCommerce. Finally, we use Meta's cutting-edge generative models to personalize the experience for our buyers.
Our team also builds AI capabilities to enhance Metas product catalogs to improve ads performance. Catalog-powered ads account for a significant portion of Metas revenue, with unlocking deep semantic understanding of our products being a key strategic lever for revenue growth.
If you're passionate about ML at scale and want to work with an amazing group of people - look no further - come and join us!
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