לוח משרות דרושים ברמת גן, לחיפוש זה נמצאו 3,393 משרות

Alice is a leading platform for Trust & Safety teams worldwide, leveraging cutting?edge AI and world?class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever?changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white?box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Integration & Orchestration: Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

We're looking for a proactive and customer-focused IT Support Engineer to join our Global IT team and help deliver an exceptional technology experience for employees across our global hybrid organization.

This is an excellent opportunity for someone early in their IT career who enjoys solving technical problems, supporting end users, and working with modern enterprise technologies including Microsoft 365, Intune, Entra ID, Windows, and macOS.

If you're passionate about technology, love helping people, and are eager to grow within a global cybersecurity company, we'd love to meet you.



What You Will Own

Prepare, configure, and deploy Windows and macOS laptops for new employees
Support employee onboarding and offboarding, ensuring a seamless IT experience
Provide first-line technical support for hardware, software, Microsoft 365, email, VPN, printing, and connectivity issues
Manage user accounts, permissions, and application access across Microsoft Entra ID and Microsoft 365
Enroll and manage devices using Microsoft Intune or similar endpoint management platforms
Troubleshoot laptops, monitors, docking stations, Wi-Fi, peripherals, and workplace technology
Support password resets, MFA, VPN access, and identity-related requests
Track incidents and service requests through the IT ticketing system while maintaining excellent customer service
Maintain accurate inventory of laptops, accessories, licenses, and IT assets
Document technical procedures, troubleshooting guides, and knowledge base articles
Escalate infrastructure, cloud, networking, and security issues when appropriate
Help maintain a secure, reliable, and efficient IT environment for employees worldwide

Were looking for a highly organized, proactive, and service-oriented Office & Operations Manager to own the day-to-day workplace and operational experience in Israel.

This is a hands-on and highly visible role that combines office operations, global travel coordination, executive support, and employee experience. Youll be responsible for keeping the office running smoothly, ensuring seamless travel arrangements for employees and executives, supporting a senior leader with calendar management, and creating a professional and engaging workplace experience.

The ideal candidate is someone who is exceptionally organized, takes full ownership, knows how to manage multiple priorities, and enjoys being the person who makes things happen behind the scenes.

What You Will Own

Office & Workplace Operations

Own the day-to-day operations of Aquas Israeli office, ensuring a smooth, professional, and welcoming workplace experience
Manage office maintenance, including vendors, facilities, deliveries, supplies, and workplace services
Manage operational and office-related budgets
Identify operational needs proactively and drive solutions from start to finish
Maintain strong relationships with office vendors and service providers and ensure high-quality service
Executive Support

Provide trusted administrative support to a senior leader, including calendar management, meeting coordination, scheduling, and prioritization
Coordinate internal and external meetings and ensure smooth day-to-day communication
Handle sensitive and confidential information with a high level of discretion and professionalism
Support ad-hoc executive and operational needs as required
Travel Management

Own end-to-end travel coordination for employees and executives, including flights, hotels, ground transportation, visas, and travel logistics
Coordinate domestic and international business travel across multiple locations and time zones
Manage last-minute changes and unexpected travel challenges with speed and discretion
Work with travel agencies and external providers to ensure an efficient and cost-effective travel experience
Ensure travel arrangements follow company policies and budgets
Employee Experience & Events

Partner with HR and People teams on employee-facing initiatives, onboarding/offboarding logistics, and workplace activities
Help create a workplace experience that reflects Aquas culture and makes employees feel supported and connected
Support company-wide and leadership events from planning through execution

We are looking for an experienced Senior Linux Kernel Engineer to join our Runtime Security Group and help build the technology that protects workloads at runtime - where sophisticated attacks need to be detected and stopped.

This is a highly technical, hands-on role at the intersection of Linux kernel development, cybersecurity, cloud-native technologies, and runtime protection.

Youll work on complex, low-level challenges that directly impact Aquas runtime security platform, designing and building scalable components for both cloud and on-prem environments.

If you're passionate about Linux internals, kernel development, eBPF, and solving deep technical security challenges, this is an opportunity to work on technology that operates at the heart of modern cloud security.

What You Will Own

Design and implement robust, scalable runtime security components for cloud and on-prem environments
Work deeply with Linux kernel internals, kernel modules, syscalls, and kernel/user-space interaction
Develop and optimize low-level components that enable runtime threat detection and protection
Leverage technologies such as eBPF for tracing, observability, security monitoring, and runtime protection
Take end-to-end ownership of complex technical initiatives - from architecture and design through implementation, testing, code review, and production delivery
Collaborate closely with software architects and senior engineers to shape technical direction and solve complex system-level challenges
Lead and contribute to technical PoCs evaluating new technologies and approaches
Work across the full software development lifecycle, maintaining high standards for code quality, performance, reliability, and security
Contribute to the evolution of Aquas next-generation cloud-native runtime security platform

We are looking for an exceptional Security Researcher to join world-class security research organization. Looking for an experienced researcher in the cybersecurity world with depth, and excellence in cloud-native security research.

As a Security Researcher, you will work on deep technical research on several areas - working with other researchers, and transforming advanced offensive insights into scalable defensive capabilities.

What You Will Do

Research and analyze sophisticated attack techniques targeting Linux-based cloud-native systems, including Kubernetes, containers, and serverless environments.
Reverse engineer Linux malware families to extract behavioral patterns, execution flows, and persistence mechanisms.
Study real-world threat actor techniques and translate findings into actionable detection, prevention, and hardening strategies.
Design and prototype advanced detection logic and observability mechanisms, including kernel- and runtime-level approaches (e.g., eBPF).
Influence Aquas security strategy by turning research insights into capabilities that protect large-scale production environments.
Collaborate closely with engineering and product teams to ensure research outcomes are impactful and scalable.

We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers our data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure.
This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make our data and AI platforms scalable, reproducible, secure, compliant, and easier to use.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Architectural Leadership: Own and evolve the technical roadmap for our data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future.
MLOps & Platform Development: Design and build end-to-end MLOps systems-covering experimentation, training, reproducibility, and deployment-while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads.
Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails.
Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction.
Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group.
Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes.

We are looking for an ML Infra Engineer to play a central role in evaluating, and deploying our AI models. You will own and evolve our 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 our 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.

Required Senior Data Engineer
About the role:
You will specialize in designing and building world class, scalable data architectures, ensuring reliable data flow and integration for groundbreaking biotechnological research. Your expertise in big data tools and pipelines will accelerate our ability to derive actionable insights from complex datasets, driving innovations in improving patients outcome and in delivering life savings treatment solutions.
In this role, you will work closely with data scientists, AI/ML engineers, architect and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.
Location: Ramat Gan, (Hybrid model)
What will you do?
Design, build, and maintain data pipelines that ingest, transform, and load noisy, heterogeneous biological data at scale - from single-cell sequencing, genomic, and clinical sources - across databases, APIs, and flat files
Enhance our data warehouse system to dynamically support multiple analytics use cases
Implement and productize complex scientific and computational algorithms as scalable, production-grade pipeline components
Drive our data infrastructure toward becoming AI-native, enabling AI/ML systems and agents to reliably query, reason over, and act on our data
Implement data governance policies and procedures to ensure data quality, security, and privacy
Collaborate with ML and AI scientists and other cross-functional teams to understand their data needs and requirements
Drive team capability growth by championing an AI-first SDLC, mentoring data engineers on AI-assisted development practices and tooling
Develop and maintain documentation for data pipelines, processes, and systems
Requirements
We will only consider senior data engineers that have demonstrated strong system design skills combined with an extensive background working with data orchestration, data warehousing and ETL tools.

We are looking for a Senior AI Researcher to join our 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.

Were seeking a Head of AI to lead research and engineering for multimodal foundation models and reasoning‑centric systems-from prototyping to reliable, secure, production deployment. The Head of AI will manage a group of deep learning researchers, computational biologists, immunologists and engineers and partner closely with product leaders and company leadership to convert cutting‑edge methods into high‑impact, mission‑critical capabilities.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Group Leadership & Growth:
Lead, mentor, and develop deep learning researchers, computational biologists, and machine learning engineers; set a high bar for scientific rigor, code quality, and delivery.
Establish clear ownership, role definitions, and growth paths; nurture a collaborative, low‑ego culture.
Technical Strategy & Delivery:
Own the AI roadmap and architecture; guide model design, evaluation, and productionization (training, serving, observability, safety).
Build scalable pipelines for transformers, multimodal fusion, and reasoning/agent frameworks; champion reproducibility, CI/CD for models, and cost‑efficient GPU/TPU utilization.
Research Integration & Innovation:
Stay current with the literature; run journal clubs and technical deep dives.
Evaluate, pilot, and integrate state‑of‑the‑art methods (advanced transformers, retrieval and tool‑use agents, causal/biological reasoning) into robust systems.
Cross‑Functional Collaboration:
Translate biological and clinical questions into tractable AI projects with measurable impact.
Communicate complex trade‑offs to peers and executives; align plans, risks, and milestones across functions.
Mission & Impact:
Prioritize initiatives that advance patient outcomes and create cumulative platform value.
Balance speed with scientific integrity, security, and compliance.

Director of AI Product
About the role:
As the AI Product Director for the core components of our 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 our 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 our 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