Were in search of a Prompt Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide., you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!

As a Prompt Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Dive deep into the potential of Large Language Models (LLMs), specifically aiming to enhance the conversation quality of our AI-driven hiring assistant. Experiment with different techniques and methodologies to optimize the interaction between users and AI.
Craft, test, refine, and optimize prompts to effectively communicate with existing AI models, aiming for improved clarity, efficiency, security and user satisfaction.
Implement and assess practical applications of LLM research findings in user-facing applications, creating scalable, impactful tools.
Develop scalable testing methods for LLMs, allowing for rigorous and systematic evaluation of different models, parameters, and techniques.
Work closely within our global R&D team to drive the evolution of prompt strategies, fostering a collaborative and innovative environment

We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Be involved in the execution of a significant new project, with high-end performance requirements and a deep understanding of the low-level implementation.
Participate end-to-end in research support, system architecture, implementation, simulation, testing and production.
Be responsible for designing and implementing research environments, offline and online data sources, coding machine learning algorithms, testing and deployment of solutions.
Collaborate with algorithmic and SW teams across the group to overcome our unique challenges.

Data Integrity group is at the forefront of real-time analytics, using machine learning and artificial intelligence to balance low latency and impeccable data accuracy.

Responsibilities:

Lead the development and deployment of advanced analytical models to solve complex problems, leveraging advanced statistical techniques.
Design and develop NLP models for tasks such as Named Entity Recognition, Classification, Text Similarity, Clustering and other tasks.
Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.
Analyze large and complex data sets, applying mathematical theories and statistical methods, to produce actionable insights.
Stay current with emerging trends in data science and statistics and evaluate their applicability to business problems.
**It is possible to work from the offices in Ramat Gan and Ashkelon**