In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualisation and human interaction. As well there are opportunities to collaborate with researchers in Facebook Reality Labs (FRL) and Facebook AI Research (FAIR).
Computer Vision Engineer Responsibilities
Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons.
Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into product.
Collaborate with cross-functional engineering and research teams from Facebook Reality Labs (FRL) and Facebook AI Research (FAIR)in computer vision, machine learning, and graphics.
Participate in cutting edge research in computer vision that can be applied to AR/VR product development.
Define projects for other engineers to possibly solve and achieve impact based on your direction

Our Reality Labs division explores, develops and delivers cutting-edge technologies that serve as the foundations for the Metaverse and other future Reality Labs products, such as Oculus headsets, future AR glasses and our FB Family of Apps (Messenger, Instagram, WhatsApp). From Visual Localization, SLAM, 3D reconstruction, Context/Semantic Understanding, Mapping, Tracking, and Sensor Fusion, our team is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.
Computer Vision Engineer (Leadership) - Reality Labs Responsibilities
Lead the design and development of novel computer vision and/or, machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding, as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons
Play a critical role in the definition and execution of long-term roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics, and silicon
Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production
Be a go-to person to escalate the most complex online / production performance and evaluation issues that require an in depth knowledge
Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products
Participate in cutting edge research in computer vision that can be applied to AR/VR product development
Define projects for other engineers to possibly solve and achieve impact based on your direction

Meta is seeking AI Research Scientists to join fundamental and applied research teams, which are focused on making significant progress in AI. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, generative models, reinforcement learning, computer perception, natural language processing and speech. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent, or to work on more applied problems across the company.
Applied AI Research Scientist, Computer Vision Responsibilities
Lead and collaborate on research projects within a globally based team to advance the science and technology of intelligent machines
Lead research that enables learning the semantics of data (images, video, text, audio, speech and other modalities)
Work towards long-term ambitious research goals, while identifying intermediate milestones
Drive team goals & technical direction to pursue opportunities that make your larger organization more efficient
Influence progress of relevant research communities by producing publications
Contribute research that can be applied to Meta product development
Devise better data-driven models of human behavior

Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Software Engineer, Computer Vision - Reality Labs Responsibilities
Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences
Assist in goal setting related to project impact, AI system design, and ML excellence
Drive large efforts across multiple teams
Mentor other AI Engineers & improve the quality of AI work in the broader team
Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science (PhD) Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
Publish research results in top-tier conferneces and at leading journals
Actively identify new opportunities within Meta's long term roadmap for data science contributions.

Check Point Research area is looking for Malware Researcher!

The area leads the cyber security protection research, improves threat coverage and develops novel detection technologies. We deal with researching and releasing security solutions for all Check Points products.

Our research makes an impact! The team works closely with product development teams, customers, research partners, law enforcement, and media to make a difference.

Working with us will allow you access to data sources and visibility to the most advanced nation-state and cybercrime attacks. We need you creative, pro-active, team player and independent to join us.


Key Responsibilities
Analyzing malicious files and creating protections for Check Point products.
Releasing daily protections for our customers and constantly monitoring detections.
Response to high profile attacks, understand them and create relevant protections.
Monitoring our wide sensors information and find leads for interesting cases of targeted attacks & campaigns.
Running deep investigation in Check Point products and lead enhancements in security.
Publish marketing and technical blogs for interesting findings by the team.
Present your work in different forums including stakeholders, strategic customers and security conferences.
Automate daily processes in order to increase the teams efficiency.

We are looking for a passionate Software Developer, with a huge desire to take part in one of our most exciting new products in the world of Security Automation.

This is an amazing opportunity to learn and work with cutting-edge cloud and web technologies and to own and develop a new product from the early stages.

Be part of a leading team, developing state-of-the-art backend and frontend of a new cloud application and working in agile development methodologies.

If youre eager to run fast and make a wide impact, and youre the kind of person who gets the job done no matter what it takes were looking for you!

Key Responsibilities
End-to-end frontend and backend development of a new cloud product in the world of Security Automation.
Lead all stages of the development cycle from requirements to delivery to production, while developing multi-tenant, high-scale, efficient, and secured code.
Be part of a growing and leading team developing state-of-the-art cloud and web technologies, including micro-services architecture.
Suggest solutions for complex issues and technical challenges.

We are seeking a talented MLOps Engineer to join our innovative team. In this pivotal role, you'll be at the heart of our operations, bridging development, machine learning, and large language models (LLMs) to ensure seamless, efficient, and scalable deployment of our AI-driven solutions. If you're passionate about cutting-edge technology, excel in a dynamic environment, and are keen to make a significant impact, we're eager to connect with you!

Key Responsibilities
Collaboration: Work closely with ML engineers, data scientists, and software developers to integrate ML/LLM models into production.
Automation and Process Definition: Define work processes and implement automation pipelines to streamline ML/LLM development and deployment, enhancing productivity and efficiency.
Deployment and Scaling: Deploy, monitor, and scale machine learning models and large language model applications across various environments.
Monitoring and Maintenance: Implement monitoring solutions for performance and health of ML/LLM models, ensuring high availability and reliability.
Optimization: Continuously optimize ML pipelines for improved performance, scalability, and cost-efficiency. Security and Compliance: Ensure adherence to data privacy, security protocols, and compliance standards in ML/LLM operations.
Innovation: Keep abreast of the latest developments in DevOps, ML, and LLM technologies to drive continuous improvement and innovation.

We are looking for a passionate Software Developer, with a huge desire to take part in one of our most exciting new products in the world of Security Automation.

This is an amazing opportunity to learn and work with cutting-edge cloud and web technologies and to own and develop a new product from the early stages.

Be part of a leading team, developing state-of-the-art backend and frontend of a new cloud application and working in agile development methodologies.

If youre eager to run fast and make a wide impact, and youre the kind of person who gets the job done no matter what it takes were looking for you!



Key Responsibilities
End-to-end frontend and backend development of a new cloud product in the world of Security Automation.
Lead all stages of the development cycle from requirements to delivery to production, while developing multi-tenant, high-scale, efficient, and secured code.
Be part of a growing and leading team developing state-of-the-art cloud and web technologies, including micro-services architecture.
Suggest solutions for complex issues and technical challenges.