דרושים » תוכנה » Senior AI Engineer

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.

What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems – and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).

About Alice:
Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

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 and its partners - from static biological associations to dynamic, explanatory models of causality.
Showcase Leadership - Represent the team in top-tier scientific conferences and publications, communicating groundbreaking research to the world.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

Alice partners with the world’s leading AI labs to deliver best-in-class model assurance, red teaming, evaluations, and post-training data programs. We’re looking for a Technical Engagement Lead to guide the technical success of these strategic customers. In this role, you’ll be the key technical counterpart to frontier-model teams—helping them design, structure, and execute complex AI safety programs. You won’t be building prompts or running evals yourself; instead, you’ll lead the technical architecture and orchestration of our work, ensuring quality, coherence, and impact across multiple workstreams. You’ll work hand-in-hand with a Senior Account Manager, delivery teams, researchers, and product leaders to help GenAI customers push forward safely and responsibly. What You’ll Do
* Serve as the primary technical partner for leading LLM labs and GenAI-native organizations
* Translate customer goals into structured evaluation, red teaming and data programs
* Design engagement architectures across multiple parallel contracts and initiatives
* Ensure technical excellence and consistency in all deliverables
* Lead technical discussions with research, safety, and product teams
* Identify risks, dependencies, and evolving needs early, and drive resolution
* Stay ahead of emerging evaluation methodologies, safety approaches, and model risk trends
* Partner internally with Delivery, Research, Product, and Account Manager to ensure seamless execution
Why Alice Work with the world’s leading AI labs
* Help shape the safety and trustworthiness of next-generation AI models
* Join a mission driven, high performing team
* Enjoy opportunities for growth and professional development in a cutting-edge field.
The salary range for this role is $150-200K OTE and stock options - Range may vary based on experience. Salary at the time of offer will be commensurate with experience.

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.




Hybrid:
Yes

Join the group that builds the foundation of Mobileyes perception stack. We are looking for a key member to join our Visual GenAI team, dedicated to advancing state-of-the-art research in visual synthesis and Diffusion Models within a high-impact, real-world AV environment.
What will your job look like:
Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.

We are seeking an Analytics Functionality Analyst to join our Analytics engineering group. In this role, you will serve as a crucial partner to the Product Manager, facilitating the translation of complex analytics into actionable steps for functional software delivery. This hybrid position combines robust analytical skills with a keen understanding of engineering processes, allowing the Product Manager to focus on the strategic what and why, while you ensure clarity on the operational how.
What youll do:
Feature Translation: Convert high-level analytical concepts and product features into clear, functionally defined user stories that capture algorithmic and statistical nuances for the engineering team.
Collaboration with Engineering Teams: Work closely with developers and data scientists to assess feature feasibility, identify edge cases, and establish thorough testing and validation criteria within the engineering environment.
Customer Engagement: Participate in technical discussions with customers, especially when deep modeling insights or analytics expertise are required, to gather feedback that informs engineering decisions.
Documentation Authority: Own the documentation of analytics functionality, positioning yourself as the internal authority on modeling logic and assumptions, thereby ensuring consistency and clarity across engineering projects.
Support Engineering Testing: Drive the testing and validation of implemented models and features, ensuring they function as expected from an analytics perspective and contributing to overall product quality.

As a GenAI Security Researcher, you’ll be deep diving into AI security challenges by running red teaming operations to find weaknesses in generative AI systems and their setup. Pioneering novel bypass techniques to test the latest AI security defenses. Identifying system flaws, driving remediation efforts, and fortifying overall AI security to help building robust, secure, and future-ready models. Partnering with teams to automate security testing and define enterprise best practices. Staying ahead of the curve in AI security, ethical hack.

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.

We are looking for a Senior Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment

We are building a new software engineering team with strong applied AI orientation to amplify success. The team will be focusing on creating company-wide applications to address our colleagues every day problems. You will have a chance to work with a broad range of teams , helping them to be more productive with custom solutions.
Collaborate with cross-functional distributed teams.
Gather, analyze and spec out requirements, and manage product deliverables.
Design and build scalable AI-driven products addressing real-world problems.
Stay current with the latest technical advancements, particularly in the field of AI and LLMs.