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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.

In this role, you will develop models for automatic evaluation of text/image, text/video alignment, image/image frame/frame consistency in image sequence, and video generation. You will apply these models for improving multimodal generation including caption generation, image and video generation, and multimodal instruction following.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Develop models and techniques for measuring and improving the alignment of video, text and image, and text models. Keep up with academic publications and bring ideas into Google products.

Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
AI Research Scientist - Generative AI Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to Meta's product development.

Join our AI & Innovation group as an AI Engineer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.

Our group is building an ambitious, AI-powered product at the heart of Check Points strategic vision combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.

If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact wed love to hear from you.

Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment

Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation.

Meet the Team
Foundation AIs mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco.

About Robust Intelligence

Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the worlds largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024.

Your Impact
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!

Track and analyze emerging AI systems, focusing on applications and environments related to security and safety.
Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
Work on foundational models with built in security principles.
Author blog posts, white papers, or research papers related to emerging threats in AI security.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation.

Meet the Team
Foundation AIs mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco.

About Robust Intelligence

Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the worlds largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024.

Your Impact
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!

Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety.
Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
Develop and train AI reasoning models for security applications.
Develop Agentic models with the aim of automating security testing.
Author blog posts, white papers, or research papers related to emerging threats in AI security.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation.

Meet the Team
Foundation AIs mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco.

About Robust Intelligence

Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the worlds largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024.

Your Impact
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!

Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety.
Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
Develop and train AI reasoning models for security applications.
Develop Agentic models with the aim of automating security testing.
Author blog posts, white papers, or research papers related to emerging threats in AI security.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation.

Meet the Team
Foundation AIs mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco.

About Robust Intelligence

Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the worlds largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024.

Your Impact
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!

Track and analyze emerging AI systems, focusing on applications and environments related to security and safety.
Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
Work on foundational models with built in security principles.
Author blog posts, white papers, or research papers related to emerging threats in AI security.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.