Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!



We're seeking exceptional Individuals to join us to our R&D team. At Similarweb, you'll innovate fast, collaborate with brilliant minds, solve big problems, work with cutting-edge technologies and data at incredible scales, and make a tangible impact on the world's most innovative companies.

Were looking for a Big Data Engineer to develop and integrate systems that retrieve, process and analyze data from around the digital world, generating customer-facing data. This role will report to our Team Manager, R&D.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and data is the heart of our business.

As a big data engineer developer, you will work at the very core of the company, designing and implementing complex high scale systems to retrieve and analyze data from millions of digital users.

Your role as a big data engineer will give you the opportunity to use the most cutting-edge technologies and best practices to solve complex technical problems while demonstrating technical leadership.

So, what will you be doing all day?

Your role as part of the R&D team means your daily responsibilities may include:

Design and implement complex high scale systems using a large variety of technologies.

You will work in a data research team alongside other data engineers, data scientists and data analysts. Together you will tackle complex data challenges and bring new solutions and algorithms to production.

Contribute and improve the existing infrastructure of code and data pipelines, constantly exploring new technologies and eliminating bottlenecks.

You will experiment with various technologies in the domain of Machine Learning and big data processing.

You will work on a monitoring infrastructure for our data pipelines to ensure smooth and reliable data ingestion and calculation.

Cyber-attacks are increasing in volume and sophistication, evading traditional defenses, and posing a growing risk to enterprises from outside criminal organizations and malicious insiders in the organization. The Microsoft 365 Defender suite leverages the Microsoft 365 security portfolio - including Microsoft Defender for Endpoint, Office, Cloud Apps and Identity, as well as Microsoft Sentinel and XDR - to automatically analyze threat data across domains, building a complete picture of each attack in a single dashboard to monitor, hunt, detect and remediate threats. With this breadth and depth of clarity defenders can now focus on critical threats and hunt for sophisticated breaches, trusting that the powerful automation in Microsoft's security products detects and stops attacks anywhere in the cyber-attack kill chains and returns the organization to a secure state. Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey.

We use state of the art cloud technologies, big data solutions and AI at hyper scale and modern UX platform to deliver the highest value for our customers. If you're passionate about cyber security like us, and if you live and love data, want to make the world a safer place for millions of customers, love creating products for and with customers and are a team player - come join us. Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong. so, were looking for an experienced hands-on Senior Software Engineering manager to join our fast-growing team.

Responsibilities
As an engineer on our team, you will be working on cutting edge technologies to deliver exciting new features that impact and protect millions of users, with cross-team and cross-discipline collaboration (engineering, PM, design, research and data science). You will work closely with experienced engineers and be part of an agile and fast-moving development team - and will have a role in mentoring your more junior peers and helping them succeed. You will be expected to apply a critical view of our infrastructure, technologies and development process, proactively pushing to improve the product and our group. Our group is consistent from both feature teams and platform teams and we are looking for candidate with passion in either or both.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Core team builds the technical foundation behind Googles flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Googles products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities
Design, train, and optimize state-of-the-art machine learning models that enable exceptional phone call communication experiences for Google users. Help achieve excellent performance benchmarks to ensure seamless integration into Google's ecosystem.
Create and maintain server-side and Android infrastructure to power the deployment of these ML models.
Collaborate with teams across Google to seamlessly integrate with existing products and uphold Google's privacy standards.
Design and develop APIs that enable other Google products to leverage Duplex's advanced capabilities, while expanding the reach and impact of Duplex across the Google ecosystem.
Partner with engineering and research teams across Google to advance the frontiers of Duplex technology.

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 Ads, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Software Engineers to join our 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
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 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 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

We are looking for a talented Data Engineer to join our development team in the big data platform group.

You will support our data scientists on data initiatives, expand our data, and optimize our data pipeline architecture. You must be self-directed and comfortable supporting the data needs of multiple systems and products. The right candidate is excited by the prospect of building the data architecture for the next generation of products and data initiatives.

This is a unique opportunity for you to be a member of a team full of outstanding people making a big impact on Check Point. We work on multiple products in many domains to deliver truly innovative solutions in the Cyber Security and Big Data realm.

Key Responsibilities
Maintain and develop Enterprise grade Data Lake and Data Warehouse environments
Create data infrastructure for various R&D groups across the organization that will assist them in building and optimizing our products into an innovative industry leader.
Work with Data Experts to assist with data-related technical issues and support their data infrastructure needs.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources on top of Azure cloud.
Create and maintain optimal data pipeline architecture

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 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, Product Responsibilities
Full stack web/mobile application development with a variety of coding languages
Create consumer products and features using internal programming language Hack
Implement web or mobile interfaces using XHTML, CSS, and JavaScript
Work closely with our PM and design teams to define feature specifications and build the next generation of products leveraging frameworks such as React & React Native
Work closely with operations and infrastructure to build and scale back-end services
Build report interfaces and data feeds
Complete medium to large features (each with many tasks) independently without guidance
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

Azure Monitor offers observability into your applications and infrastructure running on Azure or outside of it. It is a portfolio of massive scale platforms and solutions to monitor the health and performance of your systems and applications across the stack (IaaS, K8s, PaaS, SaaS and all types of clients) and surface actionable insights.

Our Log Analytics team in the Israel R&D center owns the Logs scenarios in Azure Monitor.

Our platform is a critical tool for Azure users, providing insights and analytics for a wide range of applications and products. We work with the most advanced cloud technologies to build micro-services that provide back-end processing at Internet scale. We are committed to providing Azure users with a high-scale, highly reliable logs platform that delivers exceptional performance with very low latency.

We have a lot of challenges building services at that scale poses the biggest challenges there are in the software industry. So, we are looking for a strong software engineer to come help us build jaw-dropping logs scenarios that run in Internet scale and enterprise grade!

Responsibilities
As a Software Engineer, you will have the amazing opportunity to work on essential projects that directly affect the future of Azures business and impact 100K's of customers. You will be required to be proficient, show strong technical skills, and be able to quickly learn new domains as your tasks will involve all aspects of Azures business and all levels of the cloud technology stack. You are expected to have great software design skills and to plan, design and deliver high quality features.

You will work with a team of developers and program managers and participate in technical design and delivery of solutions to hard problems within the infrastructure that supports Microsoft's services. This will require collaboration with stakeholders across Azure to understand the problem, and to research, design and build the solution.

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

Central Applied Science (CAS) is a research and development team, working to improve Metas products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the Meta family of apps. The work we do enhances the Meta family of apps that enable billions of people to communicate with each other daily.

Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, and economics among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Meta and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise.

We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of Metas successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at Meta.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, 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.
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.