לוח משרות דרושים חוקר בינה מלאכותית

As the Product Manager for the AI models of core product offering, you will be responsible for defining and driving its product strategy, requirements, roadmap and delivery.

The product focuses on addressing real-world challenges in drug development by leveraging AI foundation models and multi-omic data to map and predict human immune response.

You will be working closely with our team of Data Scientists, Computational Biologists, Deep Learning Researchers and Engineers.

Location: Ramat Gan, Israel (Hybrid model)

What will you do?

Set the long-term vision and strategy for AI models, ensuring alignment with company goals.
Define product requirements and build a clear, prioritized roadmap for model development and delivery.
Lead benchmarking efforts to evaluate model performance against internal baselines and external best-in-class models.
Collaborate with AI research, data science, engineering, and biologists to translate scientific advances into scalable product capabilities.
Oversee the end-to-end lifecycle of AI models, including data strategy, training priorities, evaluation criteria, releases, and post-deployment monitoring.
Identify, validate, and prioritize high-impact use cases where improved model capabilities create meaningful business or scientific value.
Communicate strategy, progress, and key decisions to leadership and cross-functional stakeholders to drive alignment.

We are looking for a driven and experienced leader to manage a growing interdisciplinary team of LLM Agentic AI Researchers, Computational Biologists, and Immunologists. This teams mission is to build a cutting-edge agentic reasoning system powered by Large Language Models (LLMs), capable of generating structured, biologically grounded sequential explanations based on predictions from proprietary foundation model-trained on hundreds of millions of immune cells. The product the team builds is a pillar of AI strategy, with the potential to redefine the way a drugs mode of action is understood.

Location: Ramat Gan, Israel (hybrid model)

What You'll Do:

Set the Vision - Collaborate with product leadership to transform bold ideas into AI capabilities that impact real-world medical decisions.
Build and Lead the Team - Coach, build and inspire a high-caliber team across LLMs, data science, and Immunology. Cultivate a culture of excellence, curiosity, and execution.
Drive Innovation - Lead from the front-design architectures, write prototypes, and guide technical direction. Lead the team in building agents that reason about biological systems at scale.
Ship Transformative Products - Deliver AI products & solutions that move the needle for and its partners - from static biological associations to dynamic, explanatory models of causality.
Showcase Leadership - Represent the team and top-tier scientific conferences and publications, communicating groundbreaking research to the world.

we are seeking a leading expert to drive security and AI research at the critical intersection of advanced AI Models and core enterprise infrastructure. The researcher will be essential in researching the entire AI lifecycle, from foundational models to sophisticated LLM-based agents and AI applications. You will search for new vulnerabilities, solve complex problems, and develop strategies for both attacking and defending AI environments.
Furthermore, you will be in charge of fostering and spreading technical expertise. You will present your novel work at conferences and author papers and blogs. You will also build AI security tools and solutions.
If youre a curious, creative, technical person with an attackers mindset, strong systemic thinking, and a passion for AI and taking things apart and understanding how they work, we encourage you to apply.
Your Role:
Investigate and analyze the AI systems to find vulnerabilities, security gaps, weaknesses, and design flaws
Follow emerging AI security threats, author blogs about novel research, publish content, and speak at conferences
Build, train and fine-tune AI models to simulate attack vectors and build security mitigation methods

Required Sr Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.
Responsibilities
System Architecture & Operational Excellence:
Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.
Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.
Drive cross-functional end-to-end design architecture.
Lead conversations with partner architects to influence AI-driven product design and strategy
AI/ML Development & Modeling:
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.
Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).
Review complex and challenging work to help simplify and execute with speed.
Strategy & Consultation:
Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.
Drive the design and creation of reusable AI capabilities.

We are looking for an exceptional Senior AI Researcher to join our fast-growing company during a pivotal stage of market expansion. In this role, you'll lead groundbreaking research in SOC automation, develop industry-defining benchmarks, create innovative prototypes that transform into product features, and establish thought leadership through conferences and publications. If you're passionate about revolutionizing security operations through AI and excited about shaping industry standards, we'd love to hear from you!

What Will You Do?
Lead research initiatives that redefine SOC automation capabilities, creating industry benchmarks and evaluation frameworks for AI in security operations.
Design and develop functional prototypes that demonstrate breakthrough concepts, transitioning research into product features with engineering teams.
Collaborate with security researchers, Product Marketing, and the Head of AI to analyze competitors and align research priorities with commercial objectives.
Present findings at premier conferences (BlackHat, RSA) and publish tools/content that advance security automation and establish thought leadership.
Mentor engineering teams on advanced AI techniques and their practical applications in security contexts.

We are looking for a passionate and talented AI Engineer to join our mission - leveraging Generative AI (GenAI) to power smarter healthcare, enhance clinical insights, and accelerate the adoption of transformative technologies across the organization.

Job Description

As an AI Engineer at Eitan Medical, you will be part of a team committed to bringing life-changing innovation to patients and clinicians. You will lead the integration of Generative AI into our Insights platform, helping transform complex medical data into actionable insights that support better clinical decisions, personalized treatments, and improved patient outcomes.

In parallel, you will drive AI adoption across internal departments, enabling digital transformation, operational efficiency, and intelligent automation that empower teams company-wide.

This is a highly cross-functional role, collaborating with data engineers, data analysts, product managers, and full-stack developers to build and deploy impactful, scalable, and responsible AI solutions.

We are seeking someone curious, self-driven, and forward-thinking - a technologist who stays ahead of industry trends and actively identifies opportunities to bring cutting-edge

As an AI Engineer at Eitan Medical, you will play a vital role in integrating Generative AI technologies into both our SaaS healthcare platforms and internal business operations. Your work will directly contribute to improving clinical decision-making, optimizing treatment pathways, and enabling intelligent automation that enhances patient outcomes and operational efficiency.

You will collaborate closely with data engineers, data analysts, product managers, and full-stack developers, turning cutting-edge AI concepts into production-ready solutions that drive real-world impact.

This role is ideal for a curious, self-driven technologist who thrives on staying ahead of industry trends, identifying opportunities for innovation, and applying the latest AI technologies responsibly and effectively.



Key Responsibilities

Integrate Generative AI (GenAI) capabilities into Eitans SaaS platforms to enhance clinical decision support, treatment optimization, and actionable medical insights.
Identify and lead AI-driven initiatives across departments to streamline processes, boost productivity, and accelerate innovation.
Design and implement AI-powered systems, including RAG architectures and agentic workflows, using frameworks such as LangChain, LlamaIndex, or similar.
Develop effective prompt strategies and reasoning pipelines for adaptive, context-aware, and explainable AI behavior.
Monitor and optimize AI system performance, maintaining accuracy, reliability, and safety in healthcare contexts.
Stay ahead of emerging AI research and tools, evaluating new technologies for their potential to deliver measurable clinical and business impact.

Required Senior Applied Researcher
Job Description
As a Senior Applied Researcher, you will be working as part of the CTO Office team, researching problems that can give our products competitive advantage in a wide range of challenges. The team is working on vision models, LLM based Agentic architectures, Reinforcement Learning, Reasoning and more.
On your day to day, you will:
Design, train and implement models that solve specific needs
Collaborate with our product teams to design and integrate AI models
Run POCs
Explore cutting edge solutions that can be the next strategic direction
Brainstorm and Research novel ideas in various fields.

Were seeking a Senior Data Product Manager to lead the evolution of Sensis care intelligence platform. This role bridges data science, product, and customer value - turning our unique, real-world care data into actionable insights and scalable products.

Youll collaborate across teams - with data scientists, engineers, clinical experts, GTM, and customers - to bring new data-driven capabilities from ideation to market impact.



What Youll Do

Own the data product roadmap from concept to launch, ensuring every initiative ties to clear customer and business value.
Work closely with the data science team to define requirements, guide model development, and validate detections and insights.
Define acceptance criteria and KPIs for AI and ML-driven features, ensuring accuracy, reliability, and clinical relevance.
Collaborate cross-functionally with engineering, product, clinical, and GTM teams to operationalize data and algorithms into usable, high-impact features.
Validate and iterate with customers, incorporating feedback to continuously improve insight quality and usability.
Identify new opportunities to leverage Sensis proprietary data for innovative, high-value use cases.
Drive measurable outcomes by tracking post-launch adoption, accuracy, and business impact.

We are looking for an AI Specialist to explore and implement practical AI solutions that drive smarter decisions, automate workflows, and unlock new opportunities for our business.
Youll be the person who transforms curiosity into impact testing tools, integrating technologies, and guiding how AI can bring real value to our teams and operations.
In this role, your responsibilities will Include, but wont be limited to:
AI Exploration & Implementation:
- Identify opportunities where AI can improve processes and decision-making.
- Explore, test, and integrate AI tools and technologies into workflows.
- Create proof-of-concepts and small-scale pilots to demonstrate value quickly.
Data & Insights:
- Work with large datasets to uncover patterns, trends, and actionable insights.
- Translate business needs into simple, clear AI solutions that solve real problems.
- Document processes and learnings so teams can build on your work.
Optimization & Support:
- Monitor and maintain AI tools and workflows to ensure they consistently deliver results.
- Troubleshoot issues and refine solutions to improve efficiency and accuracy.
- Stay up to date with emerging AI trends and bring new ideas to the team.