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Our team is looking for a Deep Learning Engineer.
We are one of the few companies to have trained multi-billion parameter Large Language Models (LLMs), a feat that involves the most advanced engineering (large scale distributed training on thousands of cores). Serving these LLMs efficiently requires cutting-edge technology as well. As a deep learning engineer on the team, you will be responsible for maintaining and improving our training infrastructure, developing/scaling/testing new ideas, and adapting our code to run on and best utilize the newest and most advanced hardware accelerators.
Role and Responsibilities
Develop Large Language Models as part of our applied research projects and in support of our Platform, including designing, implementing and training massive-scale deep language models
Implement, optimize, scale and test new cutting edge ideas and architectures
Perform large-scale evaluations and comparisons of trained models across a range of benchmarks, as well as adding support for new benchmarks

We are looking for a senior ML engineer to join us and built groundbreaking systems designed to handle massive-scale data at an unparalleled magnitude.
In our team we engineer mission-critical solutions that address some of the complex and high-stakes challenges at a national level.
Our unique data poses novel challenges, pushing us to continually innovate and redefine what's possible.
As a Senior ML Engineer you will:
Engineer, design and implement robust, high-performance data-drive pipelines and infrastructure.
Design critical systems for production environments, including observability, monitoring, CI\CD pipeline and resource management.

We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!
As an Algorithm Developer you will be responsible for building state of the art algorithms powering LLMs and agentic frameworks. You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.
You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.
Role and Responsibilities:
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining language models, RL and classical ML/NLP.
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production.

Managing technological projects in the cellular field with companies in the defense industry and telecommunication sector.
Managing integrated projects, including outsourcing and in-house development.
Overseeing all project stages: market research, solutions characterization, drafting contractual documents, development support and system implementation in the operational requesting unit.

Formulation, characterization design of solution architectures in the public cloud and integration into a team of architects.
Implement and execute the architecture across various technological components and services of cloud providers AWS/GCP.
Integrate security and protection solutions unto the architectures.
Guide and mentor project managers and developers in implementing the cloud architecture.
Maintain regular interfaces with companies and organizations in the cloud domain in Israel.
Implement automations and scripts based on Infrastructure AS A Code (e.g., Terraform).

Managing technological projects in the cellular field with companies in the defense industry and telecommunication sector.
Managing integrated projects, including outsourcing and in-house development.
Overseeing all project stages: market research, solutions characterization, drafting contractual documents, development support and system implementation in the operational requesting unit.
place of employment: central.
scope of hours: approximately 100 hours.

Infiltrate and monitor underground ecosystem.
Surface actionable intelligence from OSINT sources to identify threat actors, tools, leaks and cybercrime patterns.
Leverage open-source tools (and your own custom scripts) to automate recon and enrich intelligence.
Stay ahead of emerging cybercrime trend: phishing kits, malware-as-a-service, data dumps, scam networks.
Build detailed threat profiles and intelligence reports for internal teams.
Work closely with threat intel, DEIR, and red\blue teams.
Your finding will drive real-world action.

We are seeking a skilled Communication System Engineer to join our team.
The role involves planning, characterizing and operating multidisciplinary communication systems.
Designing and optimizing RF chains.
Additionally, the role includes conducting experiments, providing immediate operational support and maintaining, upgrading and supporting existing systems.

This is a full-time, on-site role for a Support and Post-Sale Engineer.

The Support and Post-Sale Engineer will be responsible for providing technical support to customers both on-site and remotely, assisting with sales and pre-sale efforts, and overseeing the implementation of our power delivery solutions in customer environments, with full ownership of PoC processes.

The role requires availability to provide remote technical support and respond to customers

across different time zones, as needed, to support global customers. This availability relates to responsiveness and support coverage and does not necessarily involve travel.

We are looking for an exceptional Linux Team Leader to spearhead our mission-critical infrastructure team.
Lead and inspire a team of technical experts, fostering innovation, growth and excellence.
Architect and deliver robust, scalable and secure Linux solutions in a production environment.
Pioneer automation, monitoring and resilience across critical systems, ensuring peak performance and reliability.
Evaluate and integrate emerging technologies, keeping us at the forefront of innovation.

The Team Lead is a key leadership role responsible for designing, developing and maintaining scalable Backend and Frontend systems in both cloud and on-premise environments. The role leverages cutting-edge technologies to build cloud capabilities, platforms and infrastructure. Additionally, the position oversees the implementation and maintenance of control, monitoring and governance.

An AI startup is looking for a Software Engineer / Architect for a senior role focused on leading backend architecture and designing complex systems at a critical pre-launch stage.

This position includes broad ownership over infrastructure, scalability, and implementing an AI-first engineering mindset across the product and organization.



Responsibilities:

Lead backend architecture and system design
Design services, APIs, and data flows for an AI product
Build scalable, reliable, production-ready systems
Lead AI-first development best practices
Work closely with the founders on the technical roadmap
Improve engineering processes, performance, and system design
Own product infrastructure in preparation for significant scale

An AI startup is looking for an AI Engineer to join its core team at an advanced and critical pre-launch stage.

This role focuses on building AI capabilities at the heart of the product, working on LLM-based systems and AI agents, and collaborating closely with product and data teams.



Responsibilities:

Develop and implement AI agents and LLM workflows
Work on prompting, retrieval, context management, and evaluation pipelines
Bring AI-based features and modules into production
Improve system answer quality and reliability
Collaborate with the data team on semantic layers and data modeling
Develop in Python within a production environment
Work with Docker, Git, and modern development workflows