דרושים » ניהול ביניים » engineering team lead (recon)

We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic.
This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path.
The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams.
Responsibilities:
Build and lead our AI Platform team: hiring, mentoring, architecture, technical direction, and execution.
Own the AI security runtime platform for high-throughput, low-latency inline security decisions across our global cloud and PoPs.
Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine.
Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.
Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
Define the long-term platform strategy for AI runtime and model serving.

join us, a cybersecurity startup building the next generation of vulnerability management and exposure management.
were looking for a senior ai researcher (cybersecurity) to join our founding team and build ai-powered product capabilities that enable unprecedented effectiveness in vulnerability and asset management.
in this role, youll work hands-on with large-scale security data (assets, vulnerabilities, exposure context) and design production-grade ai systems that turn messy, complex information into clear, actionable insights.
own the end-to-end ai lifecycle: from feature ideation and initial research, through data exploration and model development, to delivering reliable, production-grade capabilities. validate solutions in controlled testing and continuously monitor, evaluate, and improve performance in production.
if you love combining real security problems with applied data science and ai-driven problem solving, and want to have real impact in a rapidly evolving product, wed love to meet you.
#li-dnp.

We are looking for a Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by us, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified.
This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums.
Responsibilities:
Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends
Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence
Explore large-scale datasets using SQL and other data analysis methods to generate research insights
Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production
Research how attackers use AI and how AI can improve threat detection, investigation, and response
Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights
Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions
Collaborate with product, data, engineering, and research teams to improve detections and product intelligence
Independently lead research initiatives from idea and data exploration to publication and presentation.
Travel internationally for company events and cybersecurity conferences at least six times per year.

our israel is seeking innovative and driven applied researchers in the field of deep learning. we are looking for candidates with a consistent track record of research excellence; a broad perspective across the fields of artificial intelligence; and deep experience in Machine Learning, applied science, and computational medicine. we are a world leader in high-performance and mobile computing technology for ai, with ambitious plans for future systems. this position offers the opportunity to have a real impact in an applied research-focused team in a dynamic company.
the applied ai architecture group focuses on applied research. as a member of the team, you will publish your work and share code as an open source. in addition, you will join a groundbreaking initiative at the intersection of ai and biology. this collaborative project aims to develop both foundational and generative ai models, as well as agentic ai systems, redefining our understanding of complex biological systems and enabling advanced diagnostics and novel scientific insights, while strengthening our health platform ecosystem.
what you'll be doing:
conceptualize, design, and implement novel deep learning architectures for biological data, with a strong focus on large-scale models such as large language models (llms), transformers, and state space models (ssms).
develop multimodal learning systems that integrate heterogeneous data types (e.g., clinical time-series, imaging, genomics, and text) for improved representation and prediction.
develop both foundational and generative models and agentic ai systems, including multi-step reasoning, tool use, and autonomous decision-making capabilities.
develop digital twin systems for healthcare, combining mechanistic models, physiological data, and ai to simulate disease progression, treatment response, and patient-specific trajectories.
implement deep learning systems integrated with agents, enabling end-to-end workflows that combine learning, planning, and execution.
evaluate model performance, analyze results, and iterate on designs to achieve optimal outcomes.
apply your knowledge of distributed training to build high-quality code for training, optimizing, and deploying large-scale models, while managing complex datasets.
collaborate closely with a diverse team of researchers, bioinformaticians, and domain experts in a highly interdisciplinary environment.

Shape the future of AI-powered software engineering at our company. As part of our AI Transformation group, youll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers.
We build internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs. Whether you are researching novel AI paradigms, architecting platform infrastructure, engineering end-to-end agentic tools, or driving developer enablement, your work will redefine how software at our company gets built at scale.
This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization.
Key Responsibilities
Stay at the forefront of AI advancements in agentic coding and integrate state-of-the-art techniques.
Build functional Proof of Concepts (PoCs) and architectural skeletons to evaluate new AI techniques before scaling.
Critically audit and challenge internal AI solutions, benchmarks, and architectures to prevent technological obsolescence.
Design rigorous testing methodologies to assess model accuracy, latency, cost efficiency, and drift across solutions.
Research and design advanced knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search.
Collaborate with core AI engineering to transition validated prototypes into reusable components for our engineering workforce.
Coordinate closely with the US Foundational AI Research team via flexible evening Israel / morning US meetings.

Shape the future of AI-powered software engineering at Palo Alto Networks. As part of our AI Transformation group, youll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers.
We build internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs. Whether you are researching novel AI paradigms, architecting platform infrastructure, engineering end-to-end agentic tools, or driving developer enablement, your work will redefine how software at Palo Alto Networks gets built at scale.
This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization.
Key Responsibilities
Stay at the forefront of AI advancements in agentic coding and integrate state-of-the-art techniques.
Build functional Proof of Concepts (PoCs) and architectural skeletons to evaluate new AI techniques before scaling.
Critically audit and challenge internal AI solutions, benchmarks, and architectures to prevent technological obsolescence.
Design rigorous testing methodologies to assess model accuracy, latency, cost efficiency, and drift across solutions.
Research and design advanced knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search.
Collaborate with core AI engineering to transition validated prototypes into reusable components for our engineering workforce.
Coordinate closely with the US Foundational AI Research team via flexible evening Israel / morning US meetings.

We are building a new AI venture inside monday.com to redefine how businesses interact with their customers through next-generation conversational AI and agentic systems. Our AI doesnt just react - it plans, reasons, and acts.
Youll join a small, highly autonomous team with the agility, ownership, and pace of a startup, working alongside world-class engineers and researchers to build the next generation of conversational AI. Youll have access to large-scale real-world data, the compute and resources to pursue groundbreaking research, and the freedom to move fast while helping shape Harmonys AI vision.
What youll do
Research novel algorithms and design new deep learning architectures to advance our in-house NLP and conversational models.
Develop methods for translating customer goals into structured representations with controlled states and real-time observations.
Help design the reasoning layer that orchestrates our AI models efficiently alongside a range of LLMs, enabling each agent to adapt its policy throughout a conversation while remaining aligned with customer objectives.
Build analytical tools that trace our AI decision process across a vast corpus of conversations, providing clear visibility into their reasoning and behavior.
Collaborate closely with engineers and product teams to translate cutting-edge research into production at scale.
Proactively lead new ideas and technical initiatives.

As an AI Researcher, youll be part of the team building the AI systems that power our products. Youll work across research and engineering - from training and post-training state-of-the-art LLMs to applying them to challenging real-world problems such as agentic behavior, coding, and security-related decision-making.

This is a hands-on research role with a strong focus on taking ideas from experimentation to production. Youll have significant ownership and the opportunity to shape both the direction of our AI research and the systems we build around it.


WHAT YOU WILL DO
Train, adapt, and scale state-of-the-art LLMs using techniques such as post-training SFT, knowledge distillation, LoRA, and reinforcement learning.
Develop and evaluate new algorithms and approaches, bridging cutting-edge academic research with production-grade AI systems.
Optimize models for production, balancing quality, latency, throughput, and cost at scale.
Own the AI lifecycle-from algorithmic prototyping and synthetic data generation to evaluation, deployment, and iteration of production AI features.
Work closely with engineering and product teams to translate research advances into impactful AI capabilities.
Lead research initiatives that advance the capabilities of Vegas AI systems.

about the job
we're the company.
we're building the future of product security. our mission is to enable both humans and ai to build secure-by-design software, at scale, without slowing innovation.
we're backed by $36m from team8, notable capital, and svci, and trusted by multiple fortune 500 companies.
but funding and logos don't define us. people do.
our about us page offers a real look at our culture, our values, and the people behind the product.
this is where you come in.
we're hiring an ai researcher to join our research team.
you'll get inside the "minds" of ai security agents: how they reason about code and use context. it's research meets applied ai: cutting-edge tech, fast iterations, and real customers relying on what you build to secure their software.
if your first reaction to "the model works" is "on what eval?", you get excited when an experiment disproves your hypothesis, and you can ship a poc at the speed of light - you might be our person.
what you'll do
research
form hypotheses about agent behavior, design experiments, and iterate fast.
build research harnesses and dive deep into traces and failure modes.
publish original research and present it at industry conferences.
applied ai
own ai projects from poc to production, serving real customers at scale.
design the algorithms, pipelines, and evaluations behind the company's ai infrastructure, including memory and context.
keep our engine on the bleeding edge by monitoring new models and research.

our mission is to make the pursuit of creative hobbies simple and fun. our top-grossing apps put us on the fast track to building the worlds largest global consumer subscription service thats revolutionizing how we spend our time at home. with over a million monthly downloads and hundreds of thousands of daily learners around the world, were redefining creative learning at scale.
what senior ai research engineers do here:
senior ai research engineers on our team develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training ai / ml models as a core part of the role. the work spans a wide range of domains - from training generative ai and llm-based models to create musical content at scale, through building deep learning computer vision models that enhance user drawings, to developing Real-Time audio ml models for music transcription that elevate feedback.
you will take full end-to-end ownership of cutting-edge algorithms and ai models - leading the process from ideation and research, through development, to production-grade implementation and engineering within our products. this includes not only designing and building ai models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users.