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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Scientist.
Responsibilities:
Data-driven insights. Help identify new products and opportunities for the company in diverse domains.
Develop Machine Learning models. Define requirements & combine data from a wide set of sources to develop ML/DL models that will automate and speed up our business processes.
End to end model management. Conduct in depth research, POC, write production-grade code and implement it (all the way to production) using our MLOps Infra to solve a diversity of business problems
Taking ownership.
Requirements:
4 years experience in the industry - must
Proven experience with LLMS - master prompt engineering - must
Proven experience gathering, sampling, and wrangling data based on business use cases and logic - must
Production-grade Python code proficiency (must) - hands-on experience writing Python that has run in production environments
End-to-end ownership - able to move from research to POC and, when validated, deliver production-quality solutions
Academic degree in STEM (Statistics/CS - advantage)
Experience with LLM fine tuning
Experience with NLP and other traditional ML models- advantage
Background in Cyber / Risk / Insurance - advantage
Personal Qualifications:
Great communication skills.
Motivated by the business success.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a passionate, motivated, and innovative Principal Data Scientist, to join our innovation department.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.
Requirements:
Proven strong expertise (8+ years) as a data scientist and machine-learning researcher.
Proven strong expertise (8+ years) in Python, with a production-level design and coding skills and hands-on experience with coding machine learning / statistical modeling based solutions
M.Sc. in Computer Science, Mathematics, Engineering or a related field, with strong theoretical background in supervised & unsupervised modeling and various other statistical modeling techniques
High-level experience with databases approaches, such as SQL and document-oriented (e.g. MongoDB) and big data
Experience in data analysis and visualization
Strong problem solving and critical thinking skills
Can-do approach
Background in Cybersecurity - an advantage
Theoretical and practical background in Generative AI - an advantage
This position is open to all candidates.
 
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31/07/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across Fiverr. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.

What am I going to do?:

* Take leading roles in foundational AI projects across Fiverr: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
* Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
* Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
* Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
* Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
* Continuously identify new opportunities to evolve the platform’s capabilities and streamline how AI is built and adopted across Fiverr.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.
Requirements:
* MSc in Computer Science, Engineering, or a related field
* Focus on AI, ML, or DS.
* 5+ years of experience in DS roles, with a strong emphasis on building and deploying machine learning models in production environments.
* Expertise in Python and SQL.
* Experience with machine learning frameworks such as TensorFlow or PyTorch.
* Familiarity with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
* Proven experience in developing, fine-tuning, and deploying ML models, particularly in NLP.
* Ability to translate complex business problems into data-driven solutions.
* Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications:
* Background in academic or industrial research in AI.
* Familiarity with the e-commerce domain and related data challenges.
* Previous experience leading projects in a DS capacity.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a senior DL researcher who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that complement our robust arsenal of industry-leading technologies.

As a senior DL researcher at Bigabid, you will be creating high-impact Machine Learning projects. In close coordination with stakeholders, you will play a major role in driving the data science roadmap and execution by providing the best solution to a game changer business problem.

Responsibilities

Deliver end-to-end ML products - including research, model development, prototyping, offline validation, implement in production, and online testing
Be a key player in the DS group - providing insights, best practices, novel techniques and research, and technical know-how to other data scientists
Develop ML solutions using advanced DL techniques to a diverse set of problems.
Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
Apply the scientific method to design, create, tune, and interpret machine learning models
Perform data manipulation, validation, and cross-domain research
Come up with new and creative research ideas and insights
Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.
Requirements:
5+ years experience as a Data Scientist
2+ years experience working with Deep Learning.
Experience working with recommender systems - an advantage
Hands-on experience building and deploying deep learning models to production
High level scripting and programming skills in Python
Superior verbal, visual, and written communication skills to educate and work with cross functional teams on controlled experiments.
Team player, responsible, delivery-oriented
Troubleshooter, problem-solver who knows how to navigate trade-offs
Work experience as a data analyst - an advantage
At least a Master's degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field.
Experience in ML over user personalization, ad-tech, or highly imbalanced data- an advantage.
This position is open to all candidates.
 
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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are building an AI-driven future at Appdome, and we need an exceptional data Scientist / ML & AI Engineer to join our new AI Department. This is a unique opportunity to work in a startup environment within a growing company, where youll take ownership of AI and ML initiatives, build cutting-edge solutions, and influence the direction of our AI products. The role has strong leadership potential and is suited for individuals who are passionate about solving complex problems and making a real impact.
What Youll Do:
* Research, develop, and deploy Machine Learning models and AI-driven solutions.
* Work with large-scale datasets, partner with others to create data pipelines, and develop feature engineering strategies.
* Optimize models for efficiency, scalability, and production deployment.
* Develop and refine ML models for various use cases, including security, fraud detection, and automation.
* Collaborate with data engineers, product teams, and backend engineers to integrate AI solutions into products.
* Apply MLOps best practices, including model versioning, monitoring, and retraining.
* Utilize cloud-based ML deployment strategies, particularly within AWS.
Requirements:
What Experience Will Drive to Success:
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 2+ years of experience in AI/ML engineering, with a proven track record of building and deploying ML & AI systems.
* Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
* Hands-on experience with Big Data processing frameworks (Apache Spark, Dask, Ray).
* Hands-on experience with LLMs and AI Frameworks (LangChain, OpenAI, HuggingFace, LangGraph, etc.)
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
* Familiarity with AWS AI/ML services and cloud-based deployments (Advantage).
* Experience working with MLOps tools, including model registry, experiment tracking, and model serving (Advantage).
What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone who is proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: Appdome is all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at Appdome. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were looking for motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to team success. About the Company: Appdome's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With Appdome, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines.
This position is open to all candidates.
 
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21/07/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
About the Role As a data Scientist on the AI Detection Research team, you will play a critical role in identifying and mitigating mobile threats through advanced AI and Machine Learning techniques. This is part of the research organization that is responsible for protecting against cyberattacks and malicious activity, and creating innovative solutions for mobile app security. You'll work on cutting-edge problems that traditional detection methods cannot solve, developing neural networks and ML models to protect against emerging attack vectors in AI-driven mobile applications. What Youll Do - Design and build complete AI/ML project lifecycles - from data collection and model development to testing and production code deployment. - Build secure AI models that run on hundreds of millions of mobile devices within our company-protected applications. - Create advanced detection algorithms for sophisticated and complex threats that traditional security methods fail to identify. - Optimize model performance across diverse mobile device environments to ensure reliable threat detection. - Research AI-based applications, frameworks, and OS-level features to identify emerging attack vectors and detect attempts to exploit Embedded AI models. - Collaborate with cyber research teams to validate and refine recognition models based on real-world threats.
Requirements:
- Bachelors degree in data Science, Computer Science, Computer Engineering, or related field. - 2+ years of experience in data Science roles. - Proven experience managing AI/ML project lifecycles from conception to deployment. - Deep understanding of classic ML, deep learning, and LLMs. - Strong proficiency in Python and experience with frameworks such as PyTorch, Scikit-Learn, and TensorFlow. - Hands-on experience with low-level programming in C / C ++. - Team player with strong collaboration and communication skills. - Quick learner with ability to adapt to new tools, methods, and frameworks. Preferred Qualifications: - Background in mobile app research or development ( Android / IOSgreenTxtBg!). - Image processing experience. - Reverse engineering experience with tools like IDA, gdb, and lldb. - Knowledge of OS internals. - Cybersecurity background with understanding of threat landscapes and attack vectors. About the Company:our company's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With our company, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our company's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
we are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
This position is open to all candidates.
 
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27/07/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
Why is this role so important?
We are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in the Datalabs team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.
Requirements:
Holds a B.Sc. in Computer Science/Mathematics/Physics or any other relevant field - Required
Has 3+ years of experience with statistical and machine learning tools - Python, R, etc.
Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
Has previous experience developing machine learning/ image processing/NLP or similar algorithms
Demonstrated experience utilizing probability theory and statistics
Familiarity with SQL
Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage).
This position is open to all candidates.
 
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10/08/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Requirements
BSc in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field. MSc is an advantage.
3+ years of hands-on experience in NLP roles with demonstrated production deployment of ML models.
At least 1 year of experience with LLMs (e.g., OpenAI, HuggingFace, Cohere, Anthropic, or similar).
Strong programming skills in Python with practical use of ML and NLP frameworks (e.g., HuggingFace Transformers, spaCy, scikit-learn).
Familiarity with prompt engineering principles, including prompt tuning, template construction, and response evaluation.
Experience with model monitoring and optimization in real-world settings.
Understanding of model limitations, prompt sensitivity, and output consistency.

Advantages:
Knowledge of ML-Ops practices and model deployment pipelines.
Experience with LLM safety, bias mitigation, or prompt hardening strategies.
Exposure to multilingual or multimodal prompting.
Familiarity with compliance frameworks in healthcare or other regulated environments (e.g., HIPAA, SOC2).
This position is open to all candidates.
 
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28/07/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Data Scientist whos excited about building robust, high-impact ML systems with a strong focus on textual data, NLP, and modern LLM-based architectures. This role is perfect for someone who thrives in startup environments, loves shipping hands-on solutions, and brings sharp product thinking to every line of code or experiment they run. Youll work closely with product, engineering, and data teams to build and scale ML-powered systems that drive meaningful outcomes for users and the business.



Responsibilities
Work closely with product managers to understand customer needs, prioritize effectively, and identify the minimum valuable ML that creates the most impact
Operate with a product mindset: make smart tradeoffs between speed and quality, scope and value and know when to ship fast and when to go deep
Drive high standards and share knowledge across the team and company through thoughtful collaboration, peer reviews, and mentorship
Design, implement, and own end-to-end machine learning features and pipelines from ideation and prototyping to productionization and monitoring
Build and scale NLP/LLM-driven systems that turn raw product text into structured representations (e.g., classifications, embeddings, summaries, agents)
Think and operate in production: handle scale, monitoring, failure modes, and iteration not just research
Requirements:
6+ years of hands-on experience as a data scientist, including at least 2 in early-stage startups or fast-paced environments.
3+ years leading full-cycle ML projects from research to production, adoption, and monitoring.
Deep familiarity with building ML products using textual inputs.
Experience building LLM-based systems.
Leverage AI-powered tools like Cursor, Claude Code, GitHub Copilot, or ChatGPT as part of your workflow to accelerate development, debug faster, and explore ideas more effectively.
You bring strong product and user intuition youre not just building models, youre solving real problems.
Youre a great teammate: collaborative, communicative, and fun to work with.
Masters degree in Computer Science, Engineering, Statistics, or a related technical field.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented and experienced Data Scientist to join our Research Data Science team and play a key role in shaping the future of cloud-native network security. Your primary mission will be to lead the development and deployment of AI-driven capabilities that protect enterprise networks at scale through our companys SASE platform, powering core products such as DLP, XDR, IPS, and AI Security.
Leveraging rich, real-time data from our global backbone and the our company Cloud data warehouse, you will apply advanced analytics, machine learning, and deep learning techniques to solve complex cybersecurity and networking challenges. You will also collaborate closely with internal business departments to accelerate AI adoption and develop intelligent systems that deliver operational efficiencies and strategic value across the company.
This is an exciting opportunity to join a fast-growing company and drive innovation in the rapidly evolving SASE space.
Key Responsibilities
Lead the design, development, and deployment of machine learning models and AI features that enhance our companys security and networking products
Analyze large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement
Collaborate cross-functionally with product, engineering, sales, and support teams to translate business needs into AI solutions
Drive AI adoption internally by working with business units to implement generative AI and other intelligent systems that deliver measurable impact
Define and track success metrics to ensure AI solutions meet performance and business goals.
Requirements:
Minimum 3 years of professional experience in Data Science roles
Hands-on experience in networking and/or cybersecurity domains
Strong foundation in classical machine learning methods (supervised, unsupervised learning, clustering)
Practical experience with deep learning frameworks such as TensorFlow or PyTorch, including NLP techniques
Proven experience deploying models on cloud platforms like AWS, Azure, or Google Cloud
Excellent analytical, problem-solving, and communication skills
Self-motivated, collaborative, and able to work independently
How to Stand Out
Experience building agentic systems using Retrieval-Augmented Generation (RAG), including tool orchestration, benchmarking frameworks, and vector databases (e.g., FAISS, Pinecone)
Prior experience working in a fast-paced, high-growth environment
Advanced degree (MSc or PhD) in Computer Science, Statistics, Mathematics, or a related quantitative field.
This position is open to all candidates.
 
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20/08/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Scientist to join our journey to reinvent how power‑grid capacity is unlocked. The ideal candidate combines deep expertise in AI, physics, and engineering, with a strong track record in handling raw sensor and time-series data. They should excel in signal processing, statistical modeling, and building production-grade analytics and data pipelines. The role demands both software engineering skill and rigorous, safety-conscious development, as it impacts critical infrastructure.

What Youll Do:
Low‑Level Signal Processing Transform raw millisecond‑scale waveforms into meaningful features: design signal processing pipelines, extract spectral and temporal signatures of wind‑induced motion, and craft features that power the next layers of modelling.
Research, train, and optimize models that infer local wind speed and direction, conductor temperature and strain, and detect anomalous eventsleveraging cutting‑edge AI techniques to explore a fascinating, largely untapped domain.
Deliver physical and mathematical insights from the data; work closely with academic partners to design preprocessing, augmentation, and physics‑context layers that translate wind‑induced vibrations into accurate wind metrics.
Write, test, and maintain reliable code that operates 24/7 in production and integrates seamlessly with utility systems.
Shape the teams data roadmap, mentor peers, and champion best practices in MLOps, experimentation, and documentation.
Requirements:
Advanced degree (M.Sc. or Ph.D.) in Electrical Engineering, Physics, Applied Mathematics, Computer Science, or a related quantitative discipline.
5+ years of hands-on experience in developing and deploying machine learning, signal processing, or algorithmic solutions, with emphasis on raw or low-level data (e.g., sensor data, audio, video streams, or medical imaging).
Proven expertise in time-series analysis and handling large-scale, complex datasets from acquisition to production deployment.
Strong Python programming skills, with the ability to write clean, modular, and testable production-grade code.
Demonstrated experience deploying ML/DSP pipelines into production environments, ideally in high-availability systems.
Familiarity with ML/DL frameworks such as PyTorch, TensorFlow, scikit-learn, and gradient-boosting libraries (e.g., XGBoost, LightGBM).
Strong collaboration and communication skills, with the ability to work effectively across interdisciplinary teams including software engineers, physicists, and external stakeholders.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
8312355
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