לוח משרות דרושים עבודה היברידית

We are seeking a highly motivated and experienced LLM/ML Agentic AI Researcher to lead the technical development of our agentic AI interpretation framework. This hands-on role involves designing, building, and optimizing AI agents that interpret complex biological data and generate coherent, insightful narratives explaining therapeutic mechanisms.

You will be at the forefront of developing a sophisticated scientific reasoning system that leverages Large Language Models (LLMs) to provide structured, biologically-grounded explanations. Collaborating closely with immunologists, machine learning researchers, and technical leadership, you'll shape how we derive insights at a systems level, pushing the boundaries of AI in biology.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Architect & Develop: Design, implement, and iterate on core AI agents using LLMs and Chain-of-Thought reasoning for creating a scientific reasoning system.
Integrate Biological Knowledge: Effectively access and incorporate biological databases (internal and external databases as tools) ensuring model interpretations are rooted in real biological mechanisms.
Solve Complex NLP Challenges: Innovate solutions to synthesize multiple information sources into cohesive, scientifically robust narratives. Structure advanced prompts and refine LLM interactions to achieve narrative coherence and clarity.
Robustness & Testing: Produce clean, well-documented, maintainable Python code with clear testing protocols, ensuring reliability and accuracy of the agent outputs.
Stay Ahead of Trends: Continuously explore emerging LLM technologies, APIs, and best practices to enhance our interpretation framework.
Effective Collaboration & Communication: Clearly articulate technical concepts to both technical and non-technical stakeholders, effectively integrate feedback from immunologists and researchers, and iterate rapidly to refine the interpretation framework.

We are seeking a highly skilled Machine Learning Engineer to enable a large team of deep learning engineers, data scientists and computational biologists.

We are looking for a driven candidate to expand our model observability software, lead the optimization of GPU infrastructure, and ensure efficient collaboration with data engineering. The ideal candidate will have development skills in python, deep expertise in cloud infrastructure, high-performance computing, and AI workload optimization. This role involves designing robust GPU management systems, automating model performance metrics, and supporting researchers with the tools they need to train and deploy machine learning models effectively.

Location: Ramat Gan, Israel (hybrid role)

What will you do?

GPU Infrastructure Optimization:
Design and implement strategies to maximize the efficient utilization of GPU resources across the organization.
Develop tools and processes for GPU allocation, workload management, and performance monitoring in alignment with selected infrastructure tools.
Monitor and fine-tune GPU performance to ensure optimal throughput for machine learning workloads.
Model Observability:
Build and maintain a robust system for automated reporting of key model performance metrics.
Integrate with diverse data sources to create customizable dashboards for monitoring performance across datasets.
Set up anomaly detection systems and alerts to ensure timely identification of performance degradation.
Enhance the existing benchmarking suite for seamless evaluation of datasets in federated data lakes.
Collaboration and Support:
Partner with machine learning scientists, data engineers, and DevOps teams to enable researchers to efficiently train and deploy models.
Provide technical guidance and support for effectively utilizing available infrastructure and tools.
Technology Research:
Stay updated with the latest advancements in GPU technologies, ML infrastructure best practices, and model performance metrics.
Evaluate and recommend new tools, technologies, and approaches to enhance the efficiency of the ML enablement platform.
Git and Code Ownership:
Implement best practices for Git workflows, code versioning, and safe release processes.
Foster a culture of high-quality, collaborative development within the engineering team.

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, analysts, 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 to extract, transform, and load data from various sources, including databases, APIs, and flat files.
Enhance our data warehouse system to dynamically support multiple analytics use cases.
Reimplement and productize scientific computational methods.
Implement data governance policies and procedures to ensure data quality, security, and privacy.
Collaborate with data scientists and other cross-functional teams to understand their data needs and requirements.
Develop and maintain documentation for data pipelines, processes, and systems.

We're looking for an experienced Senior Backend Engineer to join our Analytics team. Reporting to the Senior Manager, Software Engineering, you'll be responsible for:
Design, develop, and maintain scalable backend services within a cutting-edge microservices architecture using Java/Spring Boot and Python, delivering high-scale features from inception to production.
Optimize performance, cost, and reliability of the services in production while ensuring efficient data management across diverse stores (PostgreSQL, MongoDB, Redshift, Snowflake, etc.).
Stay ahead of industry trends, driving innovation in semantic layers, query optimizations, and analytics capabilities to refine and expand our technology stack.
Operate seamlessly across teamsincluding product, UX, and frontendwhile mentoring junior engineers and elevating the team's capabilities.

We're looking for an experienced Senior Backend Engineer to join our UVM team. Reporting to the Senior Manager, Software Engineering, you'll be responsible for:
Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java /Spring Boot and participate in design from scratch to production
Delivering high quality features for our high-scale web environment
Monitoring the performance and cost of the services in production
Staying up-to-date with industry trends and best practices to improve our technology stack and development processes
Integrating with other team members (backend/frontend/product/UX)

We're looking for an experienced Backend Engineer to join our Engineering team. Reporting to the Manager, Software Engineering you'll be responsible for:
Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Leading and designing solutions from scratch to production
Monitoring the performance and cost of the services in production
Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes
Integrating with other team members (backend/frontend/product/UX)

We're looking for an experienced DevOps Engineer to join our DLP+ SSPM team. Reporting to the Director, Engineering you'll be responsible for:
Developing and maintaining CI/CD pipelines.
Automating infrastructure and deployment processes.
Driving operational excellence by implementing best practices for workflows, processes, and organizational efficiency.
Optimizing costs and promoting the sustainability of multiple production workloads.
Collaborating across teams to streamline development and operational workflows.

We are looking for a Product Owner (f/m/d) Cloud & Industrial AI.
What part will you play?
In your role as PO within a fast-paced Generative AI team you act as an advocate for a development team translating global product strategy, customer requirements and cross-team needs into day-to-day backlog ensuring the development team delivers the right things (what & why)
You own and drive the product roadmap for developer experience and customer-facing components
Define and prioritize features for API usability, SDK improvements, and application UI/UX
Lead the development of comprehensive documentation, tutorials, and how-to guides
Work closely with customers to understand their needs and pain points in their journey around customizing their GenAI models
Serve as the first user of new API features and provide feedback to the development team
Create and maintain customer onboarding journeys and success metrics
Collaborate with engineering teams to ensure API design meets customer needs
Drive continuous improvement based on user feedback and usage analytics.

We are looking for a Senior Software Engineer to join our technical team at the research & development site of Siemens EDA (Tel Aviv, Israel - Our office is in Airportcity).
Following are the key roles and responsibilities:
Design and develop features on graphical Desktop app to enhance the product capabilities.
write fast, effective, maintainable, reliable and well documented code
Improve and verify the quality and performance of the product.
Collaborate with multiple teams in our multi-functional environment on developing new features/improvements.
Stay up to date with industry best practices, new technologies, and emerging trends in software development.
Innovate! Come with new ideas to the product.