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לפני 3 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impct
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure
What you'll be doing:
Design and deploy ML systems that optimize user engagement and advertising performance - build models that operate at scale (millions of users) with real-time inference requirements
Own end-to-end ML and GenAI projects - from identifying business opportunities and defining problems, through research and prototyping, to production deployment and impact measurement
Explore and implement cutting-edge ML approaches - research novel architectures (transformers, neural recommender systems, transfer learning) and adapt them to solve practical business challenges
Drive rapid experimentation and iteration - leverage A/B testing infrastructure and modern tooling to quickly validate ideas and ship improvements
Expand the team's ML capabilities - introduce new methodologies, share knowledge, and identify innovative opportunities beyond your initial scope
Requirements:
Proven ability to deliver production ML models with measurable business impact - from problem definition through deployment and outcome tracking
Strong programming skills in Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) with ability to write clean, efficient code for production systems
Self-directed research capability - demonstrated ability to independently explore unfamiliar ML domains, synthesize technical literature, and implement novel approaches
End-to-end ML development experience - data analysis, feature engineering, model selection, experimentation (A/B testing), and performance optimization
Structured problem-solving methodology - ability to decompose complex business problems, design solution approaches, and communicate technical findings to stakeholders
You might also have:
Positivity and enthusiasm
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Data Engineer I - GenAI Foundation Models
21679
The Content Intelligence team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&A systems, and free-text search. Beyond this, the team is building a cutting-edge platform that processes millions of images and textual inputs daily, enriching them with ML capabilities. These enriched datasets power downstream applications, helping personalize the customer experience-for example, selecting and displaying the most relevant images and reviews as customers plan and book their next vacation.
Role Description:
As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.
דרישות:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 6 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.
You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.
You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
Strong programming skills in languages such as Python and Java.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Experience with Data Warehousing and ETL/ELT pipelines
Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and המשרה מיועדת לנשים ולגברים כאחד.
 
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16/12/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team at our company, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new endpoint-based defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.
Your Impact
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.
Requirements:
6+ years of hands-on experience delivering production-grade data science and machine learning projects.
Deep expertise in probability, statistics, and machine learning, with a proven ability to select, adapt, and apply advanced algorithms to real-world problems.
Proven deep learning experience, including model design, training, and evaluation.
Strong proficiency in Python with solid working knowledge of SQL.
Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a closely related field.
Demonstrated ownership of end-to-end research POCs, from problem formulation and experimental design through execution, analysis, and final recommendations.
Strong emphasis on engineering-quality, production-ready code with high standards for reliability, scalability, and maintainability.
Excellent communication skills, with the ability to clearly articulate complex technical insights to both technical and business stakeholders.
Advantages:
Background in the cybersecurity domain, with focus on endpoint security
Experience working with big data platforms (e.g., GCP).
Familiarity with cloud-native architectures and services for data processing.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projects-from data exploration to deployment-helping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecycle-from problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.
Requirements:
Education & Experience:
Bachelor's degree in Computer Science, Engineering, or a related STEM field; Masters in a data science-related field is a plus.
6+ years in a data science role, ideally within a SaaS or tech-driven company.
Proven experience leading and delivering AI-based solutions to key business problems
Technical Skills:
Strong skills in data manipulation, visualization, and statistical analysis.
Proficiency with Python and the Python data stack.
Experience with ML frameworks: scikit-learn, XGBoost, PyTorch, TensorFlow.
Advanced SQL and experience working with large datasets.
Experience with LLMs and tools like LangChain, LlamaIndex.
Understanding of backend development architecture patterns - an advantage.
Experience working with big data - a plus.
Soft Skills:
Strong analytical thinking and independent problem-solving skills.
Excellent communication and collaboration abilities (Hebrew & English).
Self-driven with a high sense of ownership and motivation to deliver impactful solutions.
Creative, critical thinker and continuous learner.
Strong interpersonal skills with a proven ability to mentor and technically lead others.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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5 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Data Scientist who will join our growing Detection group. You'll be a significant part of the development of our state-of-the-art anomaly detection models to find and protect against nation-sponsored cyber-attacks. In this role, you will work with product, engineering, and cyber teams to train, evaluate, and deploy anomaly detection models on a massive scale.
:Responsibilities
Analyze, transform and clean large, complex data sets from various sources to ensure data quality and integrity for analysis.
Conduct hands-on research and development of state-of-the-art models and algorithms.
Extract relevant features from structured and unstructured data sources, design and engineer new features and feature selection methodologies to enhance model performance.
Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Requirements:
5+ Years as a Data Scientist with proven production-level impact.
Master's degree in computer science, mathematics or Engineering with focus on machine learning.
Proven track record designing and training anomaly-based models for large datasets.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Experience conducting applied research and working with transformers, open-source LLMs, or other advanced deep learning architectures.
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
Curiosity and a passion for learning new technologies, methods, and domains.
Background in the cyber security domain - an advantage.
This position is open to all candidates.
 
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23/12/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Data Scientist.
As an Applied Researcher, you will play a central role in advancing our AI capabilities -fine-tuning and optimizing large language models to extract legal insights and power intelligent decision-making at scale. Youll explore new model architectures, training paradigms, and evaluation methods to push research from experimentation to impactful, production-ready innovation.
Youll collaborate closely with data scientists, engineers, and domain experts to design and validate research prototypes, integrating cutting-edge methods such as model distillation, retrieval-augmented generation (RAG), and knowledge-graphbased reasoning.
Responsibilities:
Design and evaluate new model architectures, training objectives, and loss functions that enhance generalization and domain adaptation.
Research and innovate in areas such as model compression, knowledge distillation, and retrieval-augmented generation (RAG) to improve inference efficiency and interpretability.
Publish and present innovative findings internally and externally to advance the organizations leadership in applied AI research.
Collaborate cross-functionally with engineering, product, and data science teams to transition research prototypes into scalable production systems
Drive measurable impact by translating research innovations into deployable solutions that improve model performance, scalability, and user outcomes.
Contribute to the research community through publications, open-source contributions, or collaborations, showcasing thought leadership in LLM fine-tuning and applied AI innovation.
Requirements:
M.Sc. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
5+ years of experience in applied AI research.
Strong programming skills, particularly in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Solid understanding of NLP.
Experience with modern Large Language Models (LLM) and generative models.
Proven expertise in designing, implementing, and evaluating deep learning models in a production environment.
Excellent communication, mentoring, and collaboration skills.
A strong problem-solving mentality and a proactive demeanor, driven by the ambition to deliver solutions with real-world impact
Advantages:
Prior experience leading or working within cross-functional teams that include data scientists, operations research specialists, and software engineers.
Passion for learning and stay informed with State of the Art progress
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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5 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Data Scientist - AI Research Group.
:Responsibilities
Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
Shape the research roadmap and influence long-term technical strategy across the organization.
Requirements:
5+ Years as a Data Scientist with proven production-level impact.
Masters degree in Computer Science, Mathematics, Statistics or Engineering (PhD is a plus but not required).
Experience conducting applied research and working with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
High curiosity and a passion for learning new technologies, methods, and domains.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Data Scientist
About the role:
As a Senior Data Scientist you will join our multidisciplinary AI team, composed of data scientists, data analysts and data engineers. This team is responsible for our strategic AI-enabled components dealing with classical and advanced audio signal processing, deep learning techniques, NLP and machine learning.
You will report to the Head of AI and work closely with Product, Business and R&D teams to support across-the-board decision making to execute company business goals.
Responsibilities:
Be an expert in your domain, drive execution and quality, guide, mentor and collaborate with your team members.
Be passionate and tech-savvy in data and data science domains with the ability to provide business context and shape data and data pipelines directions.
Ability to lead research and find solutions for complex problems.
Taking ownership and being responsible for leading the end-to-end delivery; starting from innovation, experimentation, and development and ending with deployment to production.
Build culture, trust, and working relationships that enable your team to influence product roadmaps that are driven by customer data.
Partner and collaborate with product, business data taggers, engineering, and other stakeholders to understand the business to shape our data strategy and AI roadmap and correlate it with business needs.
Lead continuous improvements in process and tools to drive quality and decision-making. Automate manual processing, CI/CD, MLOps, optimizing data delivery, re-designing infrastructure for better scalability.
Monitoring models performance in production, continuously working on methods to improve quality and performance.
Requirements:
At least 6 years of experience as Data Scientist (Deep-learning) in a tech company
Experience and strong knowledge in Machine-Learning & Deep Learning - Must
Hands-on experience in taking ML/DL models from inception to production
Strong programming skills in Python and deep learning frameworks (TensorFlow, PyTorch)
A scientific degree in relevant fields: EE, CS, Mathematics, Statistics, or similar (MSc. or PhD. advantage)
Experience working with management, business leads, developers, and marketing teams to successfully meet deadlines in a fast-paced, rapidly changing environment
Experience in Data processes (mandatory) and best practices in a data pipelines (advantage)
Skilled at writing production-grade Python code
Last but not least - People and communication skills.
This position is open to all candidates.
 
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21/12/2025
Job Type: Full Time
We're looking for a Senior Data Scientist to join a group that specializes in AI Security and Safety, within Networking Cybersecurity. As a Senior Data Scientist in Networking Cybersecurity youll have the opportunity to take an active part in the research and development of our companys world-class networking and data center products. This role involves creative problem solving alongside security and engineering teams, and is key for the continued success of AI networking security.
What youll be doing:
Leading e2e development of AI solutions for security and safety, including implementing and improving agents, models and algorithms.
Collaborating closely with software and hardware engineers on new and diverse AI-driven solutions that include deep learning, vision, LLMs, VLMs, agents, time series and classic ML.
Optimizing and fine-tuning agents and models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Measuring and benchmarking performance to drive improvements.
Creating efficient flywheels for feedback and improvement.
Participating in developing and reviewing code, design documents, use case reviews, and test plan reviews.
Requirements:
MS/PhD with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on Deep Learning or Machine Learning.
4+ years of experience in deep learning and machine learning in a production environment. Experience with developing agents and agentic workflows.
Excellent programming skills in Python with software design fundamentals.
Hands-on experience with deep learning development frameworks and libraries (e.g. TensorFlow, PyTorch).
Experience with large scale production systems and pipelines, with a track record of developing production-grade models
Strong algorithm development experience, with knowledge of inference optimization techniques such as model fine tuning, distillation, quantization, pruning.
Background with algorithms including zero/few-shot learning, self-supervised and unsupervised learning, synthetic data creation.
Experience with VLMs, LLMs, agents, RAG and MCP.
You are proactive, take full ownership of your deliverables, have a can-do approach, and are excited to learn, explore and apply your skills and creativity to some of the most challenging and rewarding problems in the field.
Ways stand out from the crowd:
Strong software development experience
Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT.
Experience with tools for data processing and storage (e.g. Apache Spark, Hadoop, SQL databases, NoSQL databases).
Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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17/12/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
Design, implement, and improve ML and AI models to drive business outcomes across multiple domains, such as recommendation systems, image recognition, ChatBot, etc.
Own the end-to-end ML lifecycle: data preprocessing, feature engineering, model training, validation, and deployment.
Expert level in designing evaluation pipelines to prove performance, scalability, and consistency
Leverage generative AI and LLMs to enhance existing workflows and explore new product opportunities.
Collaborate with Product, Engineering, and Analytics teams to align modeling efforts with business needs.
Clearly communicate complex findings and model insights to stakeholders.
Requirements:
BSc or higher in Computer Science, Mathematics, Statistics, or related fields.
4+ years of hands-on experience as a Data Scientist, ideally within mobile, gaming, or social network industries.
Proven experience with AI/ML frameworks and toolkits (Scikit-learn, TensorFlow, PyTorch, LangChain, etc.)
Familiarity with MLOps best practices, model versioning, experiment tracking, and continuous deployment.
Strong knowledge of machine learning techniques: Classification, regression, segmentation, reranking, model interpretability
Solid background in data analysis and statistics; ability to design experiments and interpret results.
Experience working in cloud environments, especially Google Cloud Platform (GCP) BigQuery, GCS, Vertex AI (a plus).
Comfortable working in fast-paced, production-critical environments with a sense of ownership and accountability.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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15/12/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.
As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.
You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.
What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in our companys search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of our companys AI platform. Develop models and framework solutions for the group.
Requirements:
MSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning, or related fields - a must.
6+ years of production environment experience, working with predictive and probabilistic models, clustering algorithms, classification models, search and recommendation techniques - a must.
Proven record for successful production implementation of translating product/business requirements into a technical solution.
Experience with Large Language Models (LLMs), including fine-tuning, prompt/context engineering, and working with modern AI/LLM toolchains.
Team player, Ability to handle several tasks simultaneously.
Strong knowledge in Python, SQL, and NoSQL.
Spark and Big data technologies experience an advantage.
Research experience - an advantage.
Experience with e-commerce - an advantage.
This position is open to all candidates.
 
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