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Shape the Future of Cybersecurity with Us Are you driven by curiosity, innovation, and the desire to turn cutting-edge research into real-world impact? Join Cynet, an established but rapidly growing cybersecurity startup, where you'll be part of a small, elite team building groundbreaking AI-powered security products from the ground up. Work alongside top minds in security research, R&D, product, and data engineering to drive innovation and create real value for global customers. This is your chance to contribute to a foundational mission - developing AI technology that proactively protects against todays most sophisticated cyber threats.

What will you do:
As a data Scientist at Cynet, youll play a central role in shaping our future technology. Youll: Own AI product creation end-to-end - from the initial concept through building prototypes to full-scale production. Drive innovation by developing and integrating ML and Generative AI solutions into Cynets core cybersecurity products: Endpoint, XDR, Network Detection, and Posture Management. Analyze massive volumes of security data to uncover hidden patterns, threats, and insights. Develop and fine-tune models with state-of-the-art optimization strategies and performance metrics. Contribute to and expand our AI infrastructure, including data pipelines, evaluation tools, and deployment frameworks. Conduct rigorous experimentation, explain and monitor the real-world performance of your models. Write production-ready code that makes it into our deployed AI systems.

We are seeking a highly skilled and experienced Senior NLP Researcher to join our AI research team and drive the development of Dream's next-generation large language models (LLMs). The ideal candidate will have a strong background in NLP, deep learning, and applied research, with a passion for innovating and pushing the boundaries of generative AI technologies.

Responsibilities
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.

As an NLP Data Scientist, a leader in AI-driven healthcare technology, you will play a critical role in developing intelligent language-based systems that directly support our core mission. Youll lead efforts in designing, evaluating, and deploying state-of-the-art Natural Language Processing (NLP) and Large Language Model (LLM) capabilities in production. From prompt engineering and NLU model development to model optimization and monitoring, your work will impact real-world outcomes and shape the future of digital health solutions. This role bridges applied machine learning, linguistics, and GenAI innovationideal for those who want to build solutions that matter.

What Youll Do:

Develop and maintain Natural Language Understanding (NLU) models integrated into key company products.

Design and iterate on prompt templates and strategies using techniques such as few-shot, zero-shot, and chain-of-thought prompting.

Apply best practices from prompt engineering, including answer engineering (e.g., extractors, verbalizers, formatting).

Evaluate model outputs using modern benchmarking techniques (e.g., self-consistency, prompt ensembles).

Collaborate with cross-functional teams (engineering, product, clinical) to tailor LLM-based systems to practical use cases.

Monitor and improve model performance post-deployment with a focus on stability, safety, and domain alignment.

Contribute to the internal prompt engineering knowledge base and stay up to date with the latest research and community best practices.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. You should have in-depth knowledge of statistical and data science methodology and tools. Youll join a tight-knit group that values continuous improvement and solving challenging technical and product problems in an emerging space. Plus, we like to have fun along the way.

Responsibilities:
Creating innovative Machine Learning solutions for big data-sparse setups.
End-to-end research and development of scalable Data Science solutions for our use-case challenges.
Maintenance and improvement, if needed, of existing models, including accuracy and performance assessment in production.
Collaborate with Data Engineers to tackle scale-up challenges.

We are looking for an ML Engineer to join our Data department. In this role, you will be responsible for the infrastructures needed to train models, serve them and do other ML magic.
What Youll Do:
Develop, integrate and optimize end-to-end ML solutions (data pipelines, training workflows, and serving infrastructure)
Plunge into a world of data, analytics, ML, high-paced and high-scale user and market movements
Work closely with Data Scientists to understand the business from top-to-bottom and turn their dreams into reality.

we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, weve tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether its supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, were not just here to move money were here to move our global customers forward. Were looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If thats you and youre ready to do the most meaningful work of your careerwe invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders. The team in Israel pushes forward and aims for the stars, an energy that has defined us since our early startup days. We hire talents who are passionate about building meaningful products and making a real impact on peoples lives. We invest in promoting their career by providing opportunities, challenges, and a great flexible work environment. The team in Israel pushes forward and aims for the stars. We hire top talents and invest in promoting their career by providing opportunities, challenges, and a great work environment that places an important emphasis on work-life balance.

About the Role:
We're looking for a Senior Machine Learning Engineer to design and build scalable ML models that power critical business decisions. You will focus on building ML expertise from experimentation to production in one or more areas that improve the company's overall ML strategy. This role is based in Tel Aviv and involves collaboration across global teams, requiring strong communication and coordination skills.

Responsibilities:
Build and deploy end-to-end machine learning solutions from research to production by leveraging advanced algorithms and mathematical techniques to deliver highly predictive models in the fintech space.
Design and run experiments to evaluate new data sources and continuously improve the performance of existing models.
Implement, maintain, and monitor production models using machine learning platform, ensuring scalability, reliability, and long-term performance.
Evaluate model effectiveness both offline and in live environments, with a focus on real-world impact and business relevance.
Act as a technical leader, mentoring teammates, guiding design decisions, and collaborating with global cross-functional partners to drive ML initiatives forward.