Front End Leader jobs in Israel

What you will be doing:

• Build and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.

• Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.

• Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.

• Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.

What we need to see:

• PhD or Master's degree with equivalent experience.

• 8+ years of experience

• Hands-on experience training LLMs/VLMs/VLAs from scratch, or a proven record as a top-tier ML engineer/researcher passionate about autonomous systems.

• Strong programming skills in Python and proficiency with major deep learning frameworks. Basic familiarity with C++ for model deployment and integration in safety-critical systems.

• Comprehensive grasp of current deep learning structures and improvement methods. Consistent track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.

Ways to stand out from the crowd:

• Experience developing and shipping LLM/VLM/VLA solutions for autonomous vehicles or general robotics products.

• Publications, contributions to open-source projects, or victories in competitions connected to LLM/VLM/VLA systems.

• Profound comprehension of behavior and motion planning in real-world autonomous vehicle (AV) applications.

• Experience building and training large-scale datasets and models and/or training agents with reinforcement learning.

As a Data Science Team Leader at CyberArk, you will lead a high-performing team developing AI/ML solutions that secure the digital world’s most sensitive assets. You’ll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, you’ll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. You’ll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across CyberArk’s identity security portfolio.

• Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
• Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
• Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
• Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
• Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
• Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
• Champion best practices in MLOps, data governance, explainability, and monitoring.
• Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

• 6+ years of industry experience in AI/ML or Data Science, with at least 1-year leading teams and managing direct reports.
• Master’s degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
• Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
• Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
• Strong technical communication skills and the ability to collaborate across cross-functional teams.
• Strategic mindset with the ability to connect AI research to business value and product opportunities.

• Familiarity with cybersecurity, identity security, or risk mitigation use cases.
• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
• Publications, patents, or open-source contributions in AI/ML.

CyberArk is actively seeking an accomplished and dynamic R&D Team Lead to Lead our platform for Data & AI. In this role, you will be responsible for several innovative SaaS focused services. You will have the responsibility of overseeing a group of skilled software engineers. Your role involves guiding them in the development of innovative solutions, fostering advancements in data processing, analysis, and AI by leveraging state-of-the-art serverless technologies on the AWS platform. As part of your role, you will be collaborating with security architects, product managers, and other development teams, collectively working towards the creation of sophisticated and secure platforms that adhere to the highest security standards.

We are seeking an energetic and versatile individual to join our team and contribute to the achievement of our objectives. In this capacity, you will provide leadership and direction to a team proficient in AWS serverless architecture, AWS CDK, and Python. This team is responsible for designing, developing, testing, securing, and deploying services throughout the entire lifecycle, from planning to production

• Overseeing a group of skilled engineers
• Producing valuable and qualitative content for our customers in a timely fashion
• Maintaining services in production environment
• Professional growth of the team members
• Recruiting and training new team members
• Working with different groups and focal points in the organization
• Defining improvement goals for the team and leading the team to achieve the goals
• Maintaining our culture
• Deep knowledge of our products and how customers use them
• Working hand-in-hand with Architects, Product Managers, Product Owners and the team to deliver features from requirements to production
• Passionate about code design, high-quality code and code reviews, optimizing, and challenging the status quo

What you need to succeed

• ​3 + years’ hands-on experience leading development of highly-scalable SaaS complex applications

• 5+ years of experience in Python/Go/Java/C#/C++ (Python is a definite advantage)

• 2+ years of experience with AWS cloud platform

• Experience with Agile, CI/CD based development
• Proactive, highly motivated individual with a high work ethic and goal-oriented approach
• Capable and courageous enough to deep dive into complex areas in the system, analyse them, suggest solutions, and make necessary changes
• Excellent communication and presentation skills
• Bachelor’s Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience
• Passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo.
• Proactive by nature; internal drive for excellence and improvement
• Good communication skills, fluent in English, good writing skills
• Autodidact, like to learn new things and share with the team

How will you stand out from the crowd:

• Experience in enterprise scale application development in cloud/SaaS environment (AWS serverless architecture is a definite advantage)

• Experience with AWS and server-less solutions

• Solid understanding of design patterns and best practices.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for AI/ML and Generative AI solutions:
- Providing technical guidance and troubleshooting support throughout project delivery- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years experience in cloud architecture and implementation.
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- AI/ML and Generative AI solution design, architecture and implementation experience.
- Experience in overseeing technical architecture and ensuring alignment with enterprise standards.

- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred- Experience with automation and scripting (e.g., Terraform, Python)- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred- Experience with automation and scripting (e.g., Terraform, Python)- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)