לוח משרות דרושים הייטק AI , לחיפוש זה נמצאו 302 משרות

about the company:
the company is an ai-driven platform company focused on improving drug discovery and development by decoding the human immune system.
we combine large-scale single cell immune data, advanced Machine Learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.
our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. were building this platform thoughtfully and collaboratively, bringing together expertise across biology, ai, engineering, and business.
the company is an equal opportunity employer. we celebrate diversity and are committed to creating an inclusive environment for all employees.
about the role:
we are looking for an ml infra engineer to play a central role in evaluating, and deploying the company's ai models. you will own and evolve the company's 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.
this is not a core algorithmic research role - but rather, a role focused on building out the ml engineering infrastructure for the evaluation and deployment of models.
location: ramat gan, israel (hybrid model)
what will you do?
own & evolve benchmarking - design, build, and maintain the company's 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.
when you apply for a role at the company, we process your personal data (such as cv, contact details, and professional background) to assess your suitability for current and future roles. your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. you can read more about how we process data here: company.com/privacy-policy/.

at the company, were reinventing devsecops to help the worlds greatest companies innovate. our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. we are a special place with a unique combination of brilliance, spirit, and just all-around great people. thousands of customers, including the majority of the fortune 100, trust the company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. wouldn't it be amazing if you could join us on our journey?
we are seeking a highly motivated, hands-on, and experienced r&d team leader to take the helm of a highly visible, strategic team.
this is not just another team leadership role. this team is one of top priorities for the company and a critical driver for our future growth. as ai rapidly transforms the software landscape, your team will sit at the intersection of security and massive data scale, taking ownership of two high-impact technological domains:
you will lead the evolution of a critical security and network layer, specifically building the safeguards that govern package traffic and protect organizations from rogue ai agents reaching out to the public internet.
you will drive a high-profile initiative to build a brand-new intelligent caching service that is essential for managing, optimizing, and accelerating the staggering explosion of data generated by modern ai workloads.
to be successful, you must demonstrate a strong ability for hands-on leadership, offering high-level architectural guidance while actively assisting developers at the code level to ensure successful, high-quality deliveries.

about the company:
the company is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. we are mapping the immune system at unprecedented scale and granularity and applying Machine Learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. we provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform.
as drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.
the company is an equal opportunity employer. we celebrate diversity and are committed to creating an inclusive environment for all employees.
about the role:
as the ai product director for the core components of the company's ai modeling framework, you will be responsible for defining and driving its Product Strategy, requirements, and roadmap, as well as lead a team of product managers. by leveraging the company's ai capabilities and vast data assets, you will spearhead the development of a product designed to empower internal users and external customers to address real-world challenges in drug discovery and development. partnering tightly with r&d, you will ensure alignment between Product Strategy, scientific priorities and business objectives. you will advocate for your product both internally and externally, and ultimately be accountable for the value and impact your product delivers.
location: ramat gan, israel (hybrid model)
what will you do?
establish the long term vision and strategy to advance our ai-powered analytical platform to enable the company's mid and long-term goals
responsible for defining the comprehensive roadmap and related prds for the analytical platform, focusing on optimizing analytical workflows, tackling predictive challenges, and enhancing model interpretability, as well as partner with business, r&d and ops to realize the roadmap
evangelize the product, creating understanding and alignment across key stakeholders
drive value creation for analytical platform users by enabling them to leverage our data assets effectively, both internally and in external collaborations
ensure that our analytical platform development is effectively enabling and accelerating our product, business, and therapeutic goals.

about the company:
the company is an ai-driven platform company focused on improving drug discovery and development by decoding the human immune system.
we combine large-scale single cell immune data, advanced Machine Learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.
our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. were building this platform thoughtfully and collaboratively, bringing together expertise across biology, ai, engineering, and business.
the company is an equal opportunity employer. we celebrate diversity and are committed to creating an inclusive environment for all employees.
about the role:
we are looking for an ai infrastructure engineer to build the foundation that enables ai agents to reliably access and operate the company's internal systems, including code repositories, pipelines, datasets, and compute infrastructure.
you will develop scalable, secure, and standardized infrastructure for agentic workflows, working closely with computational biology and engineering teams to continuously improve how ai supports research and development.
this is a software infrastructure role, not a scientific modeling role, focused on building the systems that enable ai agents to operate effectively and safely.
location: ramat gan, israel (hybrid)
what will you do?
build agent infrastructure - design and maintain infrastructure enabling ai agents to interact with internal systems, data, and compute.
ensure quality & reliability - establish testing, ci/cd, and evaluation standards for agentic workflows.
implement safety controls - build permissions, approvals, and audit mechanisms for autonomous agents.
drive continuous improvement - monitor agent behavior and usage to improve reliability and performance.
scale agentic workflows - support reliable autonomous and multi-agent operations across teams and users.
optimize efficiency - manage performance, infrastructure costs, and compute utilization.
collaborate across teams - partner with research and engineering teams to enable ai-driven workflows.

at the company, were reinventing devsecops to help the worlds greatest companies innovate -- and we want you along for the ride. this is a special place with a unique combination of brilliance, spirit and just all-around great people. here, if youre willing to do more, your career can take off. and since software plays a central role in everyones lives, youll be part of an important mission. thousands of customers, including the majority of the fortune 100, trust the company to manage, accelerate, and secure their software delivery from code to production -- a concept we call liquid software. wouldn't it be amazing if you could join us in our journey?
we are looking for an is Product Manager to join our information systems team. serving as the primary bridge between our go-to-market (gtm) organization and the is team, you will translate complex business processes, customer needs, and operational challenges into highly scalable solutions. you will drive the product roadmap and priorities, working closely with executive stakeholders and cross-functional teams to maximize business value and enable continuous company growth.
as an is Product Manager at the company you will...
serve as the trusted partner and primary point of contact for the gtm organization, encompassing sales, marketing, customer success, partners, and revenue operations.
lead discovery sessions with business stakeholders to develop a deep understanding of customer journeys, pain points, and strategic objectives, translating them into defined business requirements.
design scalable business solutions that align with the company's overarching goals and enterprise architecture.
own the product roadmap and prioritize initiatives based on business value and customer impact, leading requirements through the full lifecycle from ideation to launch.
drive alignment and decision-making across business leaders and executive stakeholders, effectively managing expectations and communicating Product Strategy.
partner seamlessly with delivery teams throughout implementation to ensure solutions hit business objectives.
identify, experiment, and iterate on product decisions by leveraging data, market research, and adoption metrics to measure business outcomes and optimize continuous innovation.
to be an is Product Manager at the company you need...
7-10 years of experience as a Product Manager, business systems analyst, or solution consultant within an information systems organization.
strong expertise in go-to-market (gtm) business domains, including sales, marketing, customer success, partner operations, or revenue operations.
hands-on experience with enterprise platforms such as salesforce, cpq, CRM, Marketing Automation, or related gtm technologies.
excellent stakeholder management & executive communication skills, a proven ability to influence cross-functional teams and drive business outcomes without direct authority.
strong analytical, prioritization, and problem-solving capabilities to effectively navigate operational challenges.

Were looking for a Product Manager to help define how organizations discover, govern, and protect their AI. Youll own core capabilities in Upwinds AI Security domain, part of our AI Labs group, and shape a category thats being defined right now. Youll work with customers, R&D, and go-to-market teams to turn fast-moving AI risks into products security teams can act on.
What youll do:
Own the strategy, definition, and delivery of AI security capabilities, from discovery through design, development, rollout, and adoption.
Turn emerging AI risks (agents, MCP servers, AI coding assistants, model and data exposure) into clear product requirements and priorities.
Work directly with customers and strategic accounts to understand how security teams govern AI usage, and act as the technical product voice in those conversations.
Partner closely with R&D and research to build accurate, low-noise detections, classifications, and controls.
Define success metrics and use product data to drive decisions and measure impact.
Work with Product Marketing, Customer Success, and Sales on launches, positioning, and enablement.

to join Research team. You'll help build our core intelligence engine: LLM agents that run cloud security workflows end to end. These agents investigate runtime detections, reason over workload, identity, and cloud context, and drive remediation in production. You'll research new models and agent designs, run rigorous experiments, and ship what works as high-impact features in our platform.
What you will do:
Build LLM-based agents that investigate, triage, and remediate cloud security threats.
Own the path from research to production: prototype new models, techniques, and agent designs, and ship the ones that work.
Train, fine-tune, and evaluate models for security tasks using vast data sources: runtime events, cloud logs, identity, and network activity.
Build and extend our internal AI platform: services, pipelines, evals, and observability.
Collaborate with Security Researchers, Product, and Engineering to turn research findings into production-grade autonomous workflows.

As a member of our ML group, you will research and build AI systems that change how our silicon is designed. Many of these problems are still open: the right way to frame the problem isn't known yet, and the data is scarce or noisy.

We are looking for a strong researcher who enjoys working closely with design teams to turn open-ended questions into well-posed research problems, and who wants to see the results used in real projects. Success in this role means models and agents that measurably improve designed chip metrics (Power, Performance, and Area) and design turnaround. You will join a growing team of AI and software engineers working with our chip design teams.

Responsibilities
Research and develop AI methods for the physical design flow, from floorplanning and placement through routing and timing closure, combining predictive models, optimization, and generative AI.
Design and build agentic workflows that connect LLMs to EDA tools, design data, and internal infrastructure, to automate and speed up tasks such as flow setup, debug, design exploration, and analysis.
Work with design teams to turn open-ended problems into well-defined research questions with clear metrics, baselines, and success criteria.
Develop robust AI methods for limited, noisy, or imbalanced data, leveraging domain knowledge and advanced learning techniques.
Own data end to end: extract useful signal from EDA tool outputs and design databases, validate and clean it, and build datasets and benchmarks where none exist.
Run careful experiments and evaluations for both models and agents, and report clearly what works and what doesn't.
Work with software engineers and design teams to bring promising prototypes into production flows, and improve them based on feedback from real projects.
Help shape new research directions as our work grows, follow the AI and EDA literature, and bring relevant ideas to the team.

Join our Security Autonomous SOC Team as a Principal AI Engineer to transform innovative AI/LLM research into impactful cybersecurity product features. You will leverage and augment our existing infrastructure, including BI systems and CI/CD pipelines, to design, develop, and deploy advanced LLM and Agentic capabilities. Your expertise in software development, AI engineering, and modern LLM technologies will directly drive the evolution of our security operations. By building robust, production-ready AI solutions, you will make a tangible difference in protecting our digital world against complex threats.
Key Responsibilities
Design and build Agentic security solutions to improve detection, response, and remediation capabilities.
Architect, implement, and optimize end-to-end LLM pipelines ensuring scalability from data ingestion to deployment.
Develop and deploy AI agents leveraging LLMs to automate complex security decision-making tasks.
Integrate LLM APIs and fine-tune models for specific cybersecurity use cases.
Transform promising AI and LLM research concepts into mature, robust, and scalable production-ready features.
Augment established BI data systems and CI/CD pipelines to support advanced AI development and experimentation.
Develop specialized tools and frameworks extending infrastructure to support AI-driven security research and remediation.
Collaborate with cross-functional teams to integrate AI innovations into customer-facing XDR, EDR, and SOAR platforms.

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're looking for an Agentic AI Researcher to join our teams venture - Designing and building the next generation agentic systems enabling personalized experiences for our users. You'll build agentic systems that unlock the full potential of VLMs, turning strong visual reasoning into experiences tailored to each domain, deploying latest research into high-quality, robust production-grade systems.


- Design, prototype, and ship agentic architectures that operate over user's visual data.
Track, evaluate and adapt the latest research and frameworks, turning SOTA designs into production-grade systems.
- Explore new approaches to visual perception within agentic loops, for tasks of video understanding, spatio-temporal grounding, efficient visual tokenization, and more.
- Investigate the tradeoffs between compact on-device models and frontier cloud VLMs to design a hybrid routing system for latency, privacy, and quality.
- Collaborate with ML researchers and engineers on the underlying generative models that agent tools depend on.
- Partner with product and design to translate open-ended creative requests into reliable, testable agent behaviors.

We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our company Automation Platform (DAP) team.
The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments.
You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure - running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns.
This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems - not model training or research prototypes.

We're looking for an AI Specialist Engineer to join our AI Enablement team. This is a high-impact role where you will build products and internal tools used across the entire company, while working with the most advanced AI tools and best practices available today.
Key Responsibilities
Develop internal AI-powered products and tools used by teams across our company to work faster and smarter.
Lead the evaluation, integration, and rollout of AI-powered development tools across engineering teams.
Build proof-of-concept projects and internal tooling that demonstrate the practical value of AI in real workflows.
Develop best practices, prompt engineering guidelines, and training materials for AI-assisted development.
Stay current with the rapidly evolving AI tooling landscape and advise leadership on strategic adoption.
Work hands-on with the most advanced AI development tools and shape how the company uses them.

Morning is looking for a Senior Software Engineer with a builder mindset and a strong backend orientation — someone who enjoys taking ideas from concept to production, working across different parts of the stack, and doing whatever it takes to build great products. At Morning, engineers go beyond traditional role boundaries, taking ownership of solutions end to end rather than handing work off between specialized teams. We value people who are comfortable figuring things out, learning new technologies, and using AI tools to expand what they can build. You'll join our Delivery team, working on both existing products and new features. What you'll do
* Build and ship new features and improve existing products, taking ideas from initial problem-solving through to production.
* Work across the stack and beyond traditional engineering boundaries, taking a hands-on approach to solving problems and delivering complete solutions.
* Use AI-powered development tools extensively to explore solutions, write and improve code, debug issues, and accelerate development.
* Take ownership of the quality and reliability of what you build, critically evaluating AI-generated code and validating solutions before shipping.
* Explore new technologies and approaches to find better ways to build and deliver products. Why join Morning? Our customers rely on us to manage their financial data, so quality, reliability, and trust matter. We believe great engineers shouldn't be limited by rigid role boundaries. Our team takes a hands-on, end-to-end approach to building products — combining engineering, AI tools, experimentation, and whatever skills are needed to turn ideas into reality. You'll have room to take ownership, experiment, and make a meaningful impact, with the opportunity to see your work reach customers without long development cycles.

Advantages:

* Experience working with Databricks or Spark.
* Experience in fintech or other regulated environments.