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We are looking for a talented Full stack Engineer with a strong backend and UI orientation and exceptional skills to join our Harmony SASEs forefront team at Check Point, which building cutting-edge, large-scale solutions that redefine cloud security and network management.

As part of our team, youll work with the latest technologies, solve complex engineering challenges, and play a key role in developing scalable and resilient fullstack systems. If youre passionate about innovation, cloud security, and high-performance architecture, this is your opportunity to make an impact!

Check Point is a key player in the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.

Key Responsibilities
End-to-end features development including research, design, testing, deployment and monitoring
Contribute to technological and architectural decisions
Develop testable, reusable, and effective code to create high performance application
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, Architects and Software Engineers to deliver the best product to our customers

The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to reinvent Cisco's existing Products and how customers interact with them. Our Group is also introducing new offerings that help customers roll out Generative AI at scale while doing so responsibly. Ultimately, we are doing so through internal platforms that unlock the benefits of this technology for Cisco teams and partners across our Security, Enterprise Networking, Collaboration and Splunk portfolios.

About the role

Join our backend team to design and deliver the AI-driven backbone of Cisco Cloud Control. Youll work across multiple stacks and domains to build integrations and features that power the next generation of Ciscos global platform.

What youll do

Design and implement both functional and non-functional backend features.
Lead by example: mentor and coach junior developers.
Drive advanced product integrations and AI-native solutions across Ciscos product portfolio.
Work across multiple back-end technologies: Go, Java, Node, Rust.
Collaborate with frontend and infrastructure teams to ensure end-to-end delivery.

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.