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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, 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 large features (each with many tasks) and responsible of areas in the system independently without guidance
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems.

We are growing fast and looking for an experienced and talented Full-Stack Developer to join our R&D team and take part in building our software products.

We're looking for someone who demonstrates a deep understanding of NODE.JS with the ability to take charge of his deliverables across the board, guiding the R&D team and QA to get exceptional results.

As a Full-Stack Dev, youll be part our continuous strive for innovation to become the market leader in sports tracking and analytics solutions.

Required Software Engineer, ML (Technical Leadership)
The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk.
The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of our risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing our financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for our risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations
Identify and Initiate New Business Opportunities: - Collaborate with our FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

a TLV cutting edge AI startup . Were using AI/deep/machine learning to optimize passenger journeys, making security screening accurate, fast and labor free.

We are looking for an experienced SW Engineering Team Leader to join our team. In this position, youll be a crucial part in company-wide software R&D aspects, spanning from full responsibility of the entire Algorithmic Software infrastructure to the production software stacks, high scale/performance and architecture

Responsibilities:
Be a major contributor to our architecture, design, implementation and maintenance.
Leading a scrum team comprised of engineers: backend, frontend, manual and Automated QA.
Work closely with the Algorithms, Data and Support teams.
Constantly maintain and strive to raise own/subordinates coding skills.
Constantly explore and dive into new technologies.

a well-funded AI startup on a mission to revolutionize passenger journeys with intelligent threat detection powered by machine learning and computer vision. Were building cutting-edge AI tools to ensure safer and more efficient travel.

We are seeking a highly motivated and experienced Data Engineer & MLOps Specialist to join our dynamic Data team. This is a pivotal role where you will design and implement scalable data solutions, develop automation for machine learning workflows, and manage critical infrastructure supporting our AI/ML initiatives.

Responsibilities:
Develop and maintain automated pipelines for data transformation, model inference, and monitoring.
Build and manage an annotation database to ensure high-quality labeled data for AI training.
Design and deploy infrastructure for automated ML inference and neural network analysis using tools like Voxel51 and ClearML.
Develop ETL pipelines to integrate production data into the data warehouse for analysis and reporting.
Work on local servers and in the AWS cloud, ensuring efficient and secure processing, storage, and deployment of data and ML models.

A chance to design and implement solutions from scratch, shaping the future of data and AI infrastructure.
Work with AI technology in a high-growth startup environment.
Opportunities for career growth and continuous learning.
Join us in building the future of intelligent security systems

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.

Were looking for a Cloud DevOps Engineer to be part of an elite technology team, designing and building the next generation of secure, scalable, and innovative cloud solutions for one of the most impactful organizations in the country.What youll do:Design, build, and maintain advanced cloud solutions and CI/CD processes.Implement Infrastructure-as-Code (IaC) for highly efficient, repeatable deployments.Explore, evaluate, and implement cutting-edge DevOps, observability, and cloud technologies.Collaborate closely with architects, developers, security experts, fellow DevOps teams, and industry-leading partners.

We're on the hunt for a highly experienced and visionary Staff/Principal Software Architect to spearhead the strategic transformation of our core on-premise applications into a robust, scalable, and secure SaaS platform. This is a pivotal role that will directly shape the future of our product offerings and significantly impact our growth within the critical counter-UAS domain. Reporting directly to the VP of R&D, you'll lead the architectural vision, leveraging your deep expertise in software and system design, chiefly SaaS, to drive this critical migration.

As a Senior Python Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones. Your primary responsibility will be to successfully implement real-time, multi-core, and multi-threaded software tasks and continuously develop new features and capabilities for an up-to-date response to new drone models and components, while collaborating with our algorithms and radio-frequency (RF) engineers. This includes coding over a Linux platform, primarily in user space, with a rich and fully automated Continuous Integration and Continuous Deployment (CI/CD) platform. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

As an AI Infrastructure Engineer, youll build AI tools for developers and other cross-functional teams, with the goal of increasing velocity company-wide. The team plays a key role in shaping and delivering AI vision. In your day-to-day, you will:
Be part of a highly agile and professional team that works in the unknown fast-changing AI landscape to deliver high quality and impactful solutions
Identify areas where AI can make an impact and address them by creating cutting-edge solutions
Integrate and adapt existing tools (such as n8n) to needs
Work on strategic projects, innovate, experiment, fail and succeed in short intervals, on a delivery and quality-oriented team
Implement and own solutions end to end, from ideation to production

We are looking for a Senior DevOps Engineer.
As a DevOps Engineer in the KubeOps team, you'll specialize in Kubernetes infrastructure management and operations.
You'll design, implement, and maintain our Kubernetes ecosystem at scale.
In your day-to-day, you will:
Design, implement, and operate production-grade Kubernetes clusters on AWS.
Architect and maintain highly available and resilient Kubernetes infrastructures.
Manage infrastructure of Kubernetes from different flavors on top of AWS cloud at scale.
Use your expertise in Linux and networking fundamentals to enhance system performance, security, and reliability.
Implement and maintain Infrastructure as Code (IaC) practices to ensre consistency and efficiency in deployment processes.
Troubleshoot and resolve complex issues related to cloud infrastructure and services.

Were looking for a talented AI research team lead for the Data Science group, to help us develop advanced AI solutions that will empower impactful projects. The Data Science group leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product, optimize processes, and deliver personalized experiences.
Lead a team of AI researchers.
Manage and conduct advanced hands-on research projects that will impact 250M+ users .
Leverage the latest advancements in LLM customization, multimodal models, knowledge representation, and conversational AI.
Build horizontal AI capabilities to be used.
Work on strategic projects for the company.
Collaborate with other internal departments to drive impactful data-driven projects.

Were looking for a highly skilled Senior Database Engineer to join our DBA team. In this role, youll design and optimize Wixs large-scale database infrastructure while ensuring high availability, scalability, and performance. In your day-to-day, you will:
Design and optimize Wixs large-scale database infrastructure to meet high availability and performance standads .
Identify cost-effective areas for improvement in current databases .
Collaborate with developers and software architects to model, create, and maintain robust data structures and the Wix data layer .
Lead and execute technical database-related POCs and benchmarks .
Conduct regular audits of database design to ensure quality and compliance with service level agreements (SLAs) .
Quickly identify and resolve critical production issues and provide on-call support as needed.