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We are looking for a motivated full-stack developer with a strong passion for learning and growth.
In this role, you will be responsible for continuous integration, development environment and development tools for Check Point products.

This position is a perfect fit for those who have a passion for a combination of DevOps and software engineering while prior experience with Java, Angular, CI/CD tools, and Kubernetes is a plus, a willingness to develop expertise in these areas is a key.

Key Responsibilities
Develop and maintain web applications.
Analyse and provide solutions for technical challenges and complex environments.
Maintain and provide support of R&D development tools.
Integrate and deploy Kubernetes into existing docker environment.
Understand user requirements to achieve the best user experience.
Define, plan, design and implement features that improve Check Points continuous integration.

We are a next-gen XDR product that leverages data from all points of the organization using cutting-edge big data frameworks, advanced ML pipelines, and unparalleled cybersecurity insights to deliver the future of cyber prevention, detection, and response.

We're looking for a highly motivated and talented Full Stack Developer to join our growing core team in a start-up-like environment that will help design, develop, and deliver our novel cyber security solution.

Key Responsibilities
Build new and exciting components in an ever-growing and evolving XDR to provide scale and productivity.
Rapidly deliver high-quality, scalable, enterprise-ready SaaS application.
Take part in decision-making, architecture design & technology research.
Drive infrastructure initiatives and implement robust and scalable solutions.
Make design decisions on the basis of performance, scalability, and future expansion.

We are looking for a Windows C++ Developer who is technically great, proactive, and creative with good communication skills.

The developer will be part of a team that will design and develop the Check Points Endpoint Security Windows software infrastructure.

Key Responsibilities
Be part of a team that will design and implement the infrastructure of the Check Points Endpoint Security Windows software.
Write highly efficient C++ code for Windows in both user and kernel modes.
Collaborate with security experts, project managers, and other engineers to achieve elegant solutions.
Work in an environment that encourages the growth and development of both technical and soft skills.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
The Content Safety Team, which is responsible for ensuring a safe environment for Intuit customers, is seeking a Senior AI Scientist. The team develops content moderation solutions for user-generated and AI-generated content across all Intuit products and utilizes advanced GenAI tools to build capabilities such as automatic labeling.

We encourage you to apply if you

Are passionate about using advanced ML techniques and evolving technology to create a safe environment for customers
Love working as part of a team of experienced AI scientists that love research and innovation just as much as they love getting models to production and making an impact
Are interested in partnering with analysts and researchers to implement your ideas into mitigation policies that keep the bad actors away
Take pride in having end to end ownership of your models - from conception, throughout research and development to production and monitoring
Responsibilities
Develop and refine content moderation models to filter and tackle abusive content across various products, content types and modalities.
Work extensively with NLP algorithms, focusing on fine-tuning transformers and large language models (LLMs) to enhance accuracy and efficiency.
Explore and integrate advanced technologies such as Retriever-Augmented Generation (RAG) and Agentic AI to assist in the automatic labeling and classification of data.
Collaborate with a multi-disciplinary team including machine learning engineers, AI scientists, and policy experts to ensure models align with ethical standards and company policies.
Stay updated with the latest research in AI and machine learning to incorporate cutting-edge techniques into content moderation strategies.
Prepare and maintain documentation on model development, configurations, and performance metrics for both technical and non-technical audiences.
Mentor and guide junior AI scientists, fostering a collaborative and productive team environment.