Applied Researcher

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8565462

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11/02/2026

Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

Requirements:
B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
Strong understanding and practical experience with various machine learning algorithms.
Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
Proficiency in data visualization libraries, to create meaningful visual representations of complex data
Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Advantages:
Experience in the fraud domain
Experience with Airflow, CircleCI, PySpark, Docker and K8S

This position is open to all candidates.

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8541217

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01/02/2026

Product Analytics Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Data & Research department oversees all of our data-related requirements. Our ultimate goal is to enable and increase the use of data across the company through creative approaches and the implementation of powerful resources such as analytical databases, advanced data pipelines, BI tools, and data science technology.

We hire the brightest minds to take on this challenge and equip them with the tools and knowledge that contribute to their personal growth and success while supporting our companys culture of diversity, experimentation, and curiosity. The Product Analytics team is a key enabler of informed decision-making across product, engineering, underwriting, risk, operations, and other areas.

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling our analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.

Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve our product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.

דרישות:
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Master's degree preferred.
6+ years of experience in product or business analytics, with at least 1-2 years in a formal team lead or managerial role.
Proven track record of leading analytics projects end-to-end and partnering with product & engineering teams in a tech-driven organization.
Strong command of SQL - able to guide and review complex queries and pipelines.
Experience with experimentation platforms and product tracking tools (Mixpanel, Full-Story, etc.).
Proficiency in data visualization tools (e.g., Tableau, Looker).
Solid understanding of A/B testing methodologies and statistical significance.
Excellent communication, presentation, and interpersonal skills, able to present insights clearly to both technical and non-technical audiences.
Analytical and adaptable; thrives in a fast-paced, evolving startup environment.
Fluent English speaker - strong written and verbal communication required.
Cyber knowledge (advantage).
Experience with programming languages such as Python for data analysis. המשרה מיועדת לנשים ולגברים כאחד.

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8526625

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3 ימים

Data & Analytics Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced Data Team Lead to build, lead, and scale our data function. This is a hands-on leadership role that combines strategic thinking, technical excellence, and people management. You will build and manage a team of Data Engineers and Data Analysts, while working closely with senior management and cross-functional leaders to translate data into measurable business impact.
This role is ideal for someone who thrives in a fast-paced startup environment, enjoys influencing decision-making at the highest levels, and is passionate about embedding a data-driven mindset across the organization.
What You'll Do:
Lead and mentor the Data team, and support their professional growth while achieving impact goals of the marketing data structure such as: multi touch attribution model, creative analytics and automated data governance processes.
Define and own the data vision, roadmap, infrastructure, and best practices aligned with company objectives.
Act as a trusted data partner to executive leadership and senior stakeholders, influencing strategy through insights and analysis while promoting a strong data-driven culture.
Oversee the design, build, and maintenance of a scalable and reliable data warehouse.
Lead the design, implementation, and optimization of ETL/ELT pipelines to integrate data from multiple internal and external sources.
Ensure high standards for data quality, governance, integrity, and documentation.
Translate complex datasets into clear, actionable insights that support the different departments' needs and the company growth through operational excellence.
Support advanced analytics use cases including forecasting, experimentation (A/B testing), and performance measurement.
Review and elevate dashboards, reports, and analyses to ensure clarity, accuracy, and executive relevance.
Identify gaps in data collection and proactively propose solutions to improve visibility and decision-making.

Requirements:
Bachelors or Masters degree in Analytics, Statistics, Mathematics, Data Science, Computer Science, or a related field - Preferred
5+ years of experience in data analytics or data engineering leadership roles, preferably in a SaaS or technology-driven environment.
Experience building data infrastructure, standards, and best practices from the ground up.
Previous experience leading projects and mentoring or managing team members - a must.
High attention to detail and commitment to data accuracy and quality.
Proactive, collaborative, and comfortable operating in a fast-growing startup environment.
Technical Skills
Strong proficiency in SQL and Python for data manipulation and analysis.
Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, dbt or similar).
Solid understanding of data warehousing concepts and platforms (e.g., Snowflake, Redshift, BigQuery).
Experience with data visualization tools such as Tableau, Power BI, or Looker.
Familiarity with marketing and product analytics tools: user acquisition ad managers APIs, Salesforce and HubSpot data and integrations.
Strong understanding of SaaS metrics including ARR, churn, LTV, CAC, and cohort analysis.

This position is open to all candidates.

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8563392

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29/01/2026

Senior AI Researcher

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Our data science team is seeking a highly skilled AI researcher with expertise in modern AI methods (e.g., multi-agent architectures, reinforcement learning on LLMs) and a passion for transforming theoretical challenges into real-world products.
In this role, you will leverage our unique clinical datasets to design and build groundbreaking solutions that provide medical benefits to millions of people. You will take full end-to-end ownership of your models - from ideation and research to production deployment and ongoing monitoring.
Working across both research and production environments, you should have proven experience in developing and deploying machine learning algorithms, along with strong interpersonal and collaboration skills. We value independent thinkers who are also proactive doers.

What Youll Be Doing:
Develop clinical AI models to support Ks clinic workflows, with a focus on patient-facing applications
Design and implement scalable, efficient pipelines for data preprocessing, information extraction, and model training
Stay up to date with the latest AI research and best practices, and translate them into production-ready solutions
Communicate complex technical concepts and solutions to non-technical stakeholders
Collaborate with MLE and AI engineering teams to deploy scalable, robust solutions

Requirements:
5+ years of experience in AI research, with a strong background in LLM research
Advanced proficiency in Python and hands-on experience with leading frameworks and libraries, such as PyTorch, Hugging Face, torchtune, and vLLM
M.Sc. or Ph.D. in Computer Science, Data Science, Statistics, Engineering, Mathematics, Physics, or a related field. Preferably with applied focus on machine learning, computer vision, NLP, or deep learning
Fast learner with excellent problem-solving skills
Positive attitude, intellectual curiosity, and eagerness to learn and share knowledge
Passion for medicine, health, and wellbeing, with a drive to make a meaningful impact
Proven experience translating deep learning research into reliable, high-impact production systems
Collaborative team member who contributes to shared technical decisions and knowledge sharing
(Preferred) Experience with medical data or medical AI

This position is open to all candidates.

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8523870

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08/02/2026

Senior Applied Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior Applied Data Scientist, you will drive the architectural and algorithmic strategy for our core evaluation engine. You will collaborate closely with our engineering and product teams, and take ownership of complex technical challenges, designing solutions that are contextually efficient, robust, and scalable. You will play a key role in defining our algorithmic roadmap, ensuring our logic is optimized to handle the complexities of modern LLM applications.

Requirements:
Experience communicating complex technical concepts to non-technical stakeholders (Product, Sales, Leadership) and influencing roadmap decisions.
Proven ability to take vague, high-level requirements and break them down into actionable technical roadmaps.
M.Sc. in Computer Science, Mathematics, Physics, or a related quantitative field (Ph.D. is a plus).
At least 6 years of industry experience in Machine Learning or Data Science.
Strong proficiency in Python and the data science stack (e.g.pandas, scikit-learn, pytorch/tensorflow).
Experience with NLP, Large Language Models (LLMs) and agentic frameworks - A Big Plus.
Ability to write high-quality, production-grade code and work within a software engineering workflow (CI/CD, code reviews, testing).
Fast learner with a passion for solving hard algorithmic problems.
Results-oriented mindset, can-do attitude, and a focus on delivering impact and value.

This position is open to all candidates.

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8536277

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5 ימים

Backend Developer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a talented Backend Developer.
Join the VRM team to build high-performance vulnerability management capabilities that translate large-scale security data and research findings into prioritized, actionable remediation paths. Youll work closely with researchers, product and operations teams to drive measurable reductions in customer risk.
This role provides the opportunity to lead end-to-end design & implementation of advanced server-side features using a wide range of technologies: Apache Spark, Apache Airflow, Scala, k8s, Ts, Python, Redis, Kafka, and Dockers.
If you are up for the challenge come and join us!
Key Responsibilities:
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing with tools such as Spark , Flink, written in Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.

Requirements:
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
Minimum of 3 years of experience in software development, with a strong focus on cloud technologies.
Proficient in Python, Typescript or other modern languages, and data queue technologies (Kafka/RabbitMQ/SQS).
Familiarity with at least one cloud platform (GCP, AWS, Azure).
Familiarity with Kubernetes/Docker is a big advantage.
Understanding of microservices and jobs architecture.
Experience with data processing frameworks such as Flink, Spark is a big advantage.
Experience working on large-scale applications is an advantage.

This position is open to all candidates.

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8559971

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11/02/2026

Senior ML Research Engineer 24793

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.

Requirements:
What You Bring
5+ years of hands-on work in machine learning / deep learning, including 3+ years focused on NLP / language models.
Proven track record of training and fine-tuning transformer-based models (BERT-style, encoder-decoder, or LLMs), not just consuming hosted APIs.
Strong programming skills in Python and at least one major deep learning framework (PyTorch preferred; TensorFlow).
Solid understanding of transformer architectures, attention mechanisms, tokenization, positional encodings, and modern training techniques.
Experience building data pipelines and tools for large-scale text / log / code processing (e.g. Spark, Beam, Dask, or equivalent frameworks).
Practical experience with ML infrastructure, such as experiment tracking (Weights & Biases, MLflow or similar), job orchestration (Airflow, Argo, Kubeflow, SageMaker, etc.), and distributed training on multi-GPU systems.
Strong software engineering practices: version control, code review, testing, CI/CD, and documentation.
Ability to own research and engineering projects end-to-end: from idea, through prototype and controlled experiments, to models ready for integration by product and platform teams.
Good communication skills and the ability to work closely with non-ML stakeholders (security experts, product managers, engineers).

This position is open to all candidates.

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8541239

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7 ימים

Machine Learning Engineer - AI Coding Agents & LLM Infrastructure

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.
About the Role:
As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

Requirements:
2+ years of hands-on experience designing, training, and deploying machine-learning models
M.Sc. or higher in Computer Science / Mathematics / Statistics or equivalent from a university, or B.Sc. with strong hands-on ML experience
Practical experience with Natural Language Processing (NLP) and LLMs
Experience with data acquisition, data cleaning, and data pipelines
A passion for building products and helping people, both customers and colleagues
All-around team player, fast, self-learning individual
Nice to have:
3+ years of development experience with a passion for excellence
Experience building AI coding assistants, code reasoning models, or dev-focused LLM agents.
Familiarity with RAG, function-calling, and tool-using LLMs.
Knowledge of model optimizations (quantization, distillation, LoRA, pruning).
Startup or product-driven ML experience, especially in high-scale, latency-sensitive environments.
Contributions to open-source AI or developer tools.

This position is open to all candidates.

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8556109

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3 ימים

Marketing Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an Experienced Data Engineer to join our marketing team and take end-to-end ownership of our data platform and production data pipelines. In this role, you will be responsible for building robust, scalable, and observable data systems that power analytics, reporting, and downstream business use cases. You will work deeply hands-on with data infrastructure, modeling, and orchestration, and act as a key technical partner to Marketing, Sales Product and Business and Finance teams.
This role suits someone who enjoys working close to the metal, designing systems that scale, and solving ambiguous data problems in a dynamic startup environment. You will play a critical role in shaping how data flows through the company, setting engineering standards, and ensuring data is trustworthy, performant, and ready for growth.
What You'll Do:
Design, build, and maintain scalable, reliable data pipelines and data warehouse architectures to support analytics and business intelligence needs.
Own the end-to-end ETL/ELT processes - ingesting data from internal and external sources, transforming it, and making it analytics-ready.
Model and optimize data structures (fact tables, dimensions, semantic layers) to support performant querying and reporting.
Ensure high standards of data quality, integrity, observability, and reliability across all data assets.
Partner closely with Analytics, Product, Marketing, and Finance teams to understand data requirements and deliver robust data solutions.
Implement monitoring, alerting, and testing frameworks to proactively identify data issues.
Optimize warehouse performance and cost efficiency (query optimization, partitioning, clustering, etc.).
Identify gaps in data collection and work with engineering teams to improve instrumentation and data availability.
Support experimentation and analytics use cases by enabling clean, trustworthy datasets for A/B testing and analysis.
Document data models, pipelines, and best practices to support scale and knowledge sharing.

Requirements:
Bachelors or Masters degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
3-5 years of hands-on experience as a Data Engineer, preferably in a SaaS or technology-driven environment.
Strong experience designing and maintaining data warehouses (e.g., Snowflake, BigQuery, Redshift).
Proven expertise with ETL/ELT tools and frameworks (e.g., Airflow, dbt, Talend, SSIS, Informatica, or similar).
Advanced SQL skills and solid proficiency in Python (or similar languages) for data processing and orchestration.
Strong understanding of data modeling, warehousing best practices, and analytics engineering concepts.
Experience integrating data from business systems such as Salesforce, HubSpot, or other SaaS platforms.
Familiarity with SaaS metrics and business concepts (ARR, churn, LTV, CAC) - from a data modeling perspective.
Experience supporting BI tools and analytics consumers (Tableau, Looker, Power BI, etc.).
Strong problem-solving skills, attention to detail, and a passion for building reliable data foundations.
Excellent communication skills and the ability to collaborate across technical and non-technical teams.

This position is open to all candidates.

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8563348

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Staff Algo Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Staff Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Requirements:
Experience developing large scale systems. Experience with filesystems, server architectures, distributed systems, SQL and No-SQL. Experience with Spark and Airflow / other orchestration platforms is a big plus.
Highly skilled in software engineering methods. 5+ years experience.
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment
Excellent coding skills - in Java & Python
Experience with TensorFlow - a big plus
Possess strong problem solving and critical thinking skills
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams.
Bonus points if you have:
Experience in leading Algorithms projects or teams.
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework

This position is open to all candidates.

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8559783

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