דרושים » הנדסה » Senior Applied AI Researcher

We are looking for an AI Engineer to play a central role in building, evaluating, and advancing our companys AI models. You will own and evolve our companys benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Own & Evolve Benchmarking - Design, build, and maintain our companys benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

We are looking for a Senior AI Researcher to join our companys foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.
In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.
You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.

Our CTO group is looking for an outstanding physical-ai applied researcher to join our team.
the CTO group is a small, elite research unit shaping the next generation of algorithmic foundations behind our autonomous driving systems. the group operates at the core of the decision-making and planning stack, addressing some of the most challenging problems in real-world autonomy. we are seeking a researcher who thrives at the intersection of Machine Learning, decision-making, and algorithmic rigor - someone who is excited about advancing learning-based approaches for safety-critical, large-scale physical systems. in this role, you will develop novel approaches for planning and decision-making in interactive, multi-agent driving environments. you will combine deep & reinforcement learning with classical algorithmic structure and formal reasoning. the problems are open-ended, scientifically challenging, and deployed at unprecedented scale. this is a rare opportunity to conduct high-impact applied research, taking ideas from theory and papers into real-world autonomous systems at scale. if youre excited about pushing the boundaries of learning-based decision-making, wed love you to join us and help shape the future of physical ai.
what will your job look like:
design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
lead research directions from conception to full-scale production.
develop using Python (pytorch or similar frameworks) as well as C ++/gpu/cuda.

The Staff Data & AI Architect will define and own the end-to-end architecture of our companys data and AI platform, spanning large-scale data systems, ML experimentation infrastructure, and production-grade model deployment. This role sets the architectural vision and technical standards for data and AI infrastructure across the company, ensuring scalable, compliant, research-accelerating systems that power both research and product development in a regulated biomedical environment.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Architect and evolve a scalable, resilient, and secure data and AI infrastructure supporting our companys research and product platforms. Identify recurring infrastructure and workflow challenges to drive the creation of generalized, reusable platform solutions.
Define scalable experimentation and MLOps patterns supporting experiment tracking, compute orchestration, dataset versioning, and reproducibility guarantees.
Lead the design and implementation of enterprise-grade data management. Establish and enforce data principles (e.g., FAIR, Medallion/Lakehouse architectures) to ensure data quality, lineage, discoverability, and reuse, while guaranteeing that all infrastructure meets security, privacy, and regulatory requirements.
Serve as the senior technical authority for data and AI infrastructure, partnering with Research, Engineering, and Product leadership to align architectural decisions with scientific and business priorities.
Lead technology evaluation and adoption decisions for AI infrastructure, balancing scalability, cost efficiency, compliance, and long-term maintainability.

We are looking for a talented AI Algorithm Developer to join us in the research and development of our next-generation automatic sports video content engine. Our team operates at the intersection of Computer Vision, NLP, and Audio analysis. We dont just use models; we build multimodal pipelines that understand sports context like a human editor would.
If you are an expert in one of these domains (NLP, CV, or Speech) and are eager to master the others to build state-of-the-art Multimodal AI - we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content automation using state-of-the-art Deep Learning (LLMs, VLMs, Audio models, and Generative AI).
Collaborate with Computer Vision and Audio experts to fuse different data signals into unified models.
Combine deep language models, Generative AI, and classical ML techniques to create high-quality solutions for demanding product-oriented tasks.
Manage the full R&D cycle: from problem definition and reading papers to implementation, prompt engineering, and productization with high autonomy.
Engage in collaboration with product and success teams to convert business goals into measurable algorithmic objectives.
Write robust, production-grade Python code that scales.

as an Agentic Pentest Director. Leading the development of agentic AI-driven penetration testing capabilities, focused on enabling autonomous security validation across modern software applications and infrastructure.

What Youll Be Doing

Become a company leader in the new product pillars that fall under your scope
Build a high-performing core engineering group by hiring top talent and fostering a culture of excellence, ownership, and collaboration
Drive the planning, execution, and delivery of key projects that impact the foundation of our product
Collaborate closely with product, architecture, security, product marketing, and other engineering teams to align technical vision and execution
Mentor and develop engineers, providing guidance and support for their growth
Help us continuously improve by bringing strategic thinking, hands-on leadership, and an agile mindset

Were looking for a highly technical and visionary Team Lead to join our Backend department and spearhead our Agentic Pen Tests initiative. This is a high-impact role where youll merge AI innovation with advanced Cybersecurity, working with cross-functional teams to shape the future of OX

What Youll Be Doing

Lead and scale a global backend team dedicated to developing cutting-edge Agentic Pen Testing capabilities.
Architect and build robust, scalable systems using Node.js to support autonomous security agents.
Collaborate closely with Product, R&D, and customers to define the roadmap for this new, innovative domain.
Drive technical excellence by setting high standards for code quality, security, and AI integration.
Foster a collaborative environment that encourages proactive problem-solving and rapid innovation in the AI-Cyber space.
AI-First Mentality: Integrate AI tools and workflows into the daily development lifecycle (e.g., AI-assisted coding, automated testing, and prompt-driven prototyping) to act as a force multiplier for the team.

we are seeking to hire an Intelligence Infrastructure Expert for a full time position. The role includes creation, management, and integration of the companys unique infrastructure and tools across the different Web environments.
The position includes infrastructure establishment and processes management alongside end to end delivery to the different teams within the organization. You will be responsible for the generation of insights, means, and methods provided from diverse intelligence streams enabling the organizations teams to make the internet a safer place.
Responsibilities:
Monitoring Web and Mobile environments - social media platforms, forums, blogs, mobile applications and darknet to uncover malicious activity.
Identification, analysis and intelligence gathering on bad actors, sources and platforms, while identifying distribution methods.
Provide insights on intricate means and methods being used by threat actors to abuse the tech worlds most popular platforms while putting users at risk.
Identify and address opportunities alongside potential problems in operational processes.
Research, development and strategizing of new operational methods and logics.
We are looking for an expert with a Can Do! approach with the following desirable skills, qualities and experience.