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Required Software Engineer II / Senior Software Engineer - Edge AI (Multiple Roles)
Responsibilities
As a developer, your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to break down problems, build execution plan, have open mind and eventually be accountable to your code all the way to production. Working in a multi-disciplinary team will require great communication skills and at the heart of it all, alignment with our values.

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

The R&D team are the crucial behind-the-scenes wonders who bring our powerful products to life before releasing them into the world. They are constantly asking how things can be improved, solved, or made easier for our customers. There's no challenge they'll back down from, and we'd never want them to!

What You Will Do?
Design and implement our products and infrastructure stack, including internal systems, user experience, and advanced security features.
Research new technologies, products, solutions for programmatic challenges.
Work in rapid development and agile methodologies.
Collaborate with other team leaders and developers to refine software designs and improve our development process.
Lead by example in adopting advanced technologies and techniques in software development.

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 of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning 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
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

As the Team Lead for Full-Stack Development, focusing on Cyber Attack Simulation, you will be responsible for guiding both the front-end and back-end development efforts of our product that simulates cyber attackers targeting organizations. This leadership role manages a team of up to 8 professionals, including front-end developers, back-end developers, and QA automation specialists, driving the creation of comprehensive simulation tools. This position requires a strong command of our entire technology stack and the ability to make impactful architectural and design decisions.

What you will do:
Lead a full-stack team of developers and QA specialists in designing and implementing bridge and attack simulation tools.
Spearhead architectural decisions for both client-side and server-side components, ensuring the creation of scalable, efficient, and robust solutions.
Maintain hands-on technical expertise with our full technology stack, including Node.js, NestJS, TypeScript, JavaScript, Redis, MongoDB, AWS, Kafka, NX, and React.
Champion the implementation of rigorous testing protocols, including unit and integration tests.
Advance our DevOps practices, managing and enhancing CI/CD pipelines for optimal deployment and integration.
Foster a collaborative environment, working closely with other teams to align project goals and timelines, ensuring timely and efficient project deliveries.
Mentor and develop team members, promoting a culture of excellence and continuous improvement.
Remain updated on the latest industry trends and technologies, integrating innovative solutions to enhance product capabilities.

Required Production Engineer
Production Engineers are hybrid software/systems engineers who ensure that our services run smoothly and have the capacity for future growth. They are embedded in every one of our product and infrastructure teams, and are core participants in every significant engineering effort underway in the company.
Our team is comprised of varying levels of experience and backgrounds, from new grads to industry. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We sail into uncharted waters every day in Production Engineering, and we are always learning.
This position is full-time.
Production Engineer Responsibilities
Own back-end services like our Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between
Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, 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 service incidents
Partnered 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 millions of users all around the world.

We are looking for an experienced and talented Software Engineer to take part in building our AI products. The candidate should demonstrate a deep understanding of C++ and computer vision.

As a Computer Vision Engineer, youll take part in Track160 innovation efforts to become the market leader in sports tracking and analytics solutions.

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.