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A pioneer in innovative technology that bridges the gap between imagination and creation. We are an AI-first company with a mission to build innovative tools for photo and video creation. Our photo and video editing apps: Facetune, Videoleap, and Photoleap offer endless possibilities and inspiration, while our brand platform, Popular Pays, offers brands the opportunity to scale their marketing efforts by partnering with creators. Our most recent product, LTX Studio, is an all-in-one AI digital storytelling platform that gives users complete control over their creations. We aim to enable both content creators and brands to produce engaging, top-performing content, based on both groundbreaking computational graphic research and generative AI features.

What you will be doing
Conducting applied research, keeping in mind the constraints and requirements of real world solutions
Mentoring other researchers in your team and leading projects with multiple participants.
Working with engineers, designers and product managers to aim your research to the right place.
Keeping up with new research developments in academia and exposing them to all team members.
Writing high-quality code (aiming at production-grade) and maintaining efficient workflows in your research process, using best practices and tools.

We are seeking a Network Topology Researcher with a focus on designing and optimizing novel network topologies for AI training and inference workloads.
This role is ideal for candidates with a deep understanding of existing types of network topologies, such as Clos and Mesh, and who are passionate about researching and developing new architectures to improve efficiency, scalability, and performance in AI systems.
Responsibilities:
Conduct cutting-edge research, design, and evaluate new network topologies optimized for AI training and inference workloads, and also their impact on legacy workloads
Explore innovative approaches to improve network performance, including latency, bandwidth, and fault tolerance
Collaborate with infrastructure teams to integrate new topologies into large-scale AI systems
Conduct simulations and experiments to validate and benchmark novel network designs
Stay current with the latest developments in network architecture and AI workload optimization
Write white papers on current developments and future research directions
File patents, produce and present research papers at top-tier conferences
What we offer:
Opportunity to lead cutting-edge projects in one of the most dynamic sectors of the tech industry
Work closely with a leading professor
Exposure to conferences, courses, and connection opportunities to the top-tier experts
Access to cutting-edge tools and technologies
This is an exciting opportunity for a motivated researcher to contribute to the cutting-edge of AI infrastructure and help shape the future of AI network architectures.

We are looking for a server application and workload (Cloud, Internet, Enterprise) expert to analyse, simulate emerging workloads (Compute and AI) and develop HW and SW optimizations that will improve their PnP (power and performance).
Responsibilities:
Track and review emerging compute and AI workloads for Cloud, Internment and enterprise applications
Deploy and Simulate emerging workloads on our system simulation infrastructure
Analyze performance bottle necks and develop innovations that will improve their performance
Work with the SW and HW development team in order to incorporate these innovations into our products
Occasionally simulate and analyze performance issues reported by customers and come up with solutions.

Technology Planning group of Computing Product Line at our Tel Aviv Research Center is looking for an exceptional research analyst with strong background in Computer Architecture, Chip Design, HW accelerators for high performance computing and AI.
Technology Scouting and Analysis technology analysis and evaluation of relevant academic projects and startups technologies and products in the area of Computer Architecture, System Architecture and System Software with focus on Data Center/ Cloud Infrastructure for AI and HPC workloads
Support cooperation projects with academic institutions in Israel and Europe.

The data science and deep learning group is responsible for providing advanced, robust and at scale ML/ DL solution to the challenging and ever evolving cyber threat landscape. As part of the groups algorithm team, you will have the chance to push the boundaries of our malware prediction models and help establish our foothold in DSPM using state-of-the-art NLP techniques. We are looking for a senior applied researcher who has substantial experience in leading data science efforts from specification, design to model deployment. Solid experience in ML/ DL and someone who is excited about complex and exciting problems. In this role you will take a central part in researching and implementing new ideas as a part of an exceptionally talented group of researchers and engineers.

Office Location:
TLV Office

Region:
Israel

Responsibilities::

* Gain understanding of the unique challenges presented by the cyber-security domain
* Work with cyber-security specialists, product and security researchers to understand the specificities of the data and fit solutions to it
* Expand our algorithmic capabilities in malware detection as well as conduct research and implementation of ML/ DL based solutions for data security
* Own complete feature cycle - from research through solution design to implementation
* Participate in code reviews and contribute to the development of best practices within the research team

A market leader in network security policy management, offering solutions that provide automated, end-to-end visibility and control over complex networks. Our mission is to enable enterprises to manage security policies across hybrid cloud environments efficiently and securely.

Job Summary:
We are seeking an experienced and dynamic hands-on R&D Team Leader to lead the development of innovative first AI assistant. The ideal candidate will lead a talented team of full-stack developers and data scientists, leveraging modern large language model (LLM) approaches to deliver cutting-edge solutions.

Key Responsibilities:
Team Leadership: Lead, mentor, and manage a team a fast phased working team
Strong technical skills & hands-on approach with the ability to drive architectural changes and new technologies adoptions.
Project Management: Oversee the end-to-end development lifecycle of the AI assistant, ensuring timely delivery and high-quality output, ensuring security aspects and allowing rapidly changing product requirements.
Collaboration: Work closely with cross-functional teams, including product management, UX/UI design, Security and IT, DevOps, and other teams in the R&D to align project goals with business objectives.
Innovation: Stay abreast of the latest advancements in AI, machine learning, and cloud technologies to integrate modern LLM approaches into the product.
Performance Monitoring: Set and monitor key performance indicators (KPIs) to track the progress and success of the AI product.
Ability to multitask, organize, and prioritize work

We are looking for a passionate AI Researcher to lead end-to-end of research and development of our proprietary machine learning-based algorithms for off-road autonomous vehicles. Experimenting, designing a solution, leading a POC, implementing the training pipeline and providing an optimized, production ready AI based solution.

Responsibilities - what you will be doing:
Conduct applied research in multi-modal domains to enhance our autonomous capabilities. Specifically, you will be applying SOTA Machine Learning and Reinforcement Learning techniques for tasks of perception, navigation, and planning This multi-modality includes the full sensory-stack of our vehicles (lidar, cameras, localization sensors, etc.).
Implement pipelines to achieve robust production level models from simulative and real data preparation, through implementing tailor-made networks or adapting and modifying existing networks, optimizing learning parameters and evaluating performance.
Deploy trained models to accelerated inference environments using various optimization and quantization techniques.
Take a meaningful part in designing and implementing our Machine Learning infrastructure, frameworks, and evaluation tools.

We are looking for an Applied AI Engineer who has experience with the end to end lifecycle from research to deployment. Strong Javascript/Typerscript skills are an absolute MUST for this role.
The AI department is focused on bringing value to our customers through the development of algorithms and analytical solutions. As an applied AI Engineer in the department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLQ, anomaly detection, image generation, time series, and more).
The team uses versatile methods and state of the art tools to deliver the most accurate insight and optimal decisions to our customers.
We are responsible for the design, research, development, deployment and maintenance of these tools, hence part of our work includes writing and deploying production code.
What You'll Be Doing:
* Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.
* Collaborate with fellow team members on exciting and challenging projects.
* Use state of the art tools to achieve high and robust performance.
* Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.
* Deploy and maintain your researched ML Models at scale within our cloud environment
* Implement the MLOps philosophy in everything you do.
* Collaborate with Product Managers, Dev and Data Engineers to provide great impact at scale while expediting model life-cycle.
* Constantly search for data driven value propositions for our clients.
* Constantly improve our models quality, and performance.
* Desire to continually keep up with advancements in data science practices.

As a Machine Learning practitioner, you'll collaborate closely with our data science, research, Innovation, and software development teams to create, train, and deploy machine learning models.
Your work will contribute to the development of AI systems that revolutionize cyber threat detection.
Responsibilities:
Design, train, and deploy machine learning models and pipelines to enhance cyber threat detection capabilities.
Leverage the company's extensive real-world threat data to train and optimize machine learning models.
Work closely with a global team of cybersecurity researchers and data scientists to apply the latest advancements in machine learning and deep learning technologies.
Offer technical expertise and guidance to development teams, ensuring they effectively leverage AI/ML technologies and best practices
Continuously research and implement the newest machine learning techniques to enhance our products and services

We are seeking a talented and passionate individual to join our team as a Generative AI Technical Expert. As a key member of our AI squad, you'll have the opportunity to dive deep into the fascinating world of generative artificial intelligence and help shape organizations use of these capabilities. Responsibilities
* Develop cutting-edge generative AI models, algorithms, and architectures that push the boundaries of what is possible
* Collaborate with cross-functional teams to identify and solve complex problems using generative AI techniques
* Stay up-to-date with the latest advancements in generative AI research and apply them to practical applications
* Design and implement experiments and simulations to validate and improve the performance of generative AI models
* Provide technical expertise and guidance to internal teams and stakeholders on generative AI-related projects
תת מחלקה:
data & Analytics