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As a machine learning scientist, your work will focus on building, training and deploying content models (Computer vision, NLP and Generative AI) using the most advanced technologies and models.
You will be responsible for identifying and proposing the most appropriate data sources and modeling techniques to solve complex problems and drive business value.
Key Job Responsibilities and Duties:
Explore and apply state-of-the-art techniques in multimodal machine learning.
Train innovative ML models (NLP, CV, LLM-finetuning), build algorithms, and engineering approaches to drive business impact..
Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
Conduct data analysis with detailed metrics to evaluate models performance, labels quality, features exploration.
Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

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 aspectsensuring 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.

As a Machine Learning Scientist, your work will focus on the evaluation and optimization of generative AI systems. You will develop and fine-tune Judge LLMs to assess model outputs across a variety of tasks, design robust evaluation frameworks for agentic workflows, and build scalable pipelines for synthetic data generation. The team also plays a critical role in multilingual evaluation, enabling GenAI applications to support market expansion across all supported languages.
Key Job Responsibilities and Duties:
Develop and apply state-of-the-art techniques for evaluating generative AI systems, with a focus on agent workflows, multilingual output, and task-specific Judge LLMs.
Design and implement scalable evaluation pipelines, including synthetic data generation and benchmarking for model quality, relevance, and consistency..
Optimize and maintain Judge LLMs to assess outputs across dialog systems, Q&A, and trip planning use cases.
Conduct in-depth data analysis to define and track evaluation metrics, validate label quality, and explore performance across different languages and user scenarios.
Ensure the reliability, efficiency, and scalability of evaluation tools and frameworks in both offline and online environments.
Collaborate closely with ML engineers to integrate evaluation components into production pipelines, supporting continuous improvement of GenAI applications.
Work cross-functionally with product, research, and analytics teams to align evaluation strategies with business goals and user impact.

As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

In this role, you will lead a team of Machine Learning Scientists and Engineers dedicated to building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on our companys extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.
As a technical manager, you should be passionate about GenAI technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML roadmap, and not be afraid to get your hands dirty with code when needed.
You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.
When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.
Key Job Responsibilities and Duties:
Leadership in LLM Development- Build, Guide and mentor a team of ML scientists and ML engineers in the development, fine-tuning, and deployment of large language models (LLMs) tailored for the travel domain.
Expertise in the engineering aspects of deploying LLMs at scale with minimal latency. This includes optimizing model performance, scalability, and efficiency to meet the demands of real-time, high-traffic applications.
Define and communicate the technical vision and strategy for LLM-related initiatives, ensuring alignment with company goals and customer needs.
Foster a culture of collaboration, innovation, and excellence within the team.
Prioritize work in collaboration with Product Managers, depending on business needs and keeping stakeholders aligned at all times.
Translate machine learning vision and strategy into planning and execution, and ensure timely delivery of their plans.
Develop innovative ML models, algorithms, and engineering approaches or identify existing ones, with the potential to impact our business.
Design and execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable frameworks.
Translate business problems into viable, reliable and robust ML and AI solutions, accounting for constraints of the production environment.
Monitor product health, performance and business impact and act accordingly when requirements are not met.
Identify underlying issues and opportunities across domains and situations that are not obviously related through application of structured thinking and logic.
Solve issues by applying methods and insights gained from a variety of disciplines, navigating a variety of environments.

We are looking for a Backend Developer.

Cynet is looking for an End Point Protection Platform Group Lead to join us. As a Group Lead, you will play a key role in building Cynet’s resilient, cutting?edge XDR security solutions.

What will you do:

* Manage four Team Leads across low?level C++ and .NET domains
* Aid, guide and provide hands-on leadership to a team of talented core Developers using C++ and .NET
* Technically manage, mentor, review and improve the quality of the code and process
* Work closely with Product, QA and DevOps teams
* Manage the delivery of multiple, complex, simultaneous development projects from design to release
* Make key decisions to ensure the successful implementation of all initiatives

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

We are looking for a BI Developer to join our BI Analytics team.
In this role, you will work closely with data Product managers, data analysts and data Scientists to create BI pipelines and BI data models to facilitate advanced analytics across multiple company verticals.

What you will be doing?
- Design, develop and manage scalable BI solutions, from characterization to visualization, including complex ETL, to improve business analytics capabilities
- Work closely with data Engineers to create efficient data processes and architecture
- Ensure data accuracy, consistency, and integrity across all processes and all tables

Were looking for a talented Senior Backend Engineer to join our growing team and lead the development of scalable, high-performance backend systems. In this role, youll design, build, and optimize platform services that power large-scale applications. Youll collaborate closely with cross-functional teams to ensure our systems are reliable, efficient, and built for growth.
What Youll Own
Design, develop, and maintain backend services, APIs, and microservices architecture.
Optimize platform performance, scalability, and reliability to support complex, high-traffic systems.
Collaborate with frontend, DevOps, and product teams to deliver seamless integrations.
Implement best practices for backend security, observability, and infrastructure automation.
Work with modern cloud-native technologies and container orchestration tools (Kubernetes).
Develop and maintain CI/CD pipelines to enable smooth and automated deployments.
Troubleshoot, diagnose, and resolve performance issues and production incidents.
Write clean, maintainable, and well-documented code, and conduct thorough code reviews.

Were looking for an Optimization Algorithm Developer to own and lead the algorithmic core of our cloud cost optimization platform as a standalone function within the company.
Youll understand the business problem end-to-end, design heuristic and data-driven solutions, and see their impact quickly.
This is a hands-on role for someone who thrives in fast decision cycles, short research iterations, and a high degree of autonomy.
Your ownership will include:
Own the full lifecycle of optimization logic from identifying business challenges to designing and implementing algorithmic solutions.
Develop and refine heuristic or optimization algorithms for cloud usage and workload management.
Conduct short research cycles that deliver measurable value and can evolve into production-ready systems.
Collaborate proactively with Product, Data Engineering, and Backend teams to bring solutions to life.
Define clear success metrics and evaluation methods (A/B tests, backtesting, KPIs).
Stay up to date with cloud economics, Kubernetes scaling, and FinOps practices.

We are looking for a Data Researcher to join the Foundation Entities team, part of the Ingestion division.
The Foundation Entities group is where data meets reality. We model POIs (venues and complexes), chains, markets, and other foundation entities, tackling the challenge of turning billions of signals into a living, evolving database of the physical world. Our work powers the insights, products, and innovations that define us.
This role goes beyond traditional analytics. You will work with large-scale datasets, apply advanced analytics and statistical methods, and design scalable solutions that replace manual processes with automated, data-driven services. You will collaborate closely with engineers, data scientists, and product stakeholders, contributing directly to the accuracy, scalability, and innovation of our foundational data.
RESPONSIBILITIES:
We expect our analysts to be self-driven, capable of working independently with multiple stakeholders, and comfortable managing several projects in parallel.
Key responsibilities include:
Analyzing and improving the quality, coverage, and scalability of POIs, chains, and other foundation entities.
Developing metrics, monitoring, and validation tools to ensure data reliability and automation at scale.
Conducting applied research and testing hypotheses to replace manual workflows with data-driven processes.
Researching and integrating external data sources (business listings, APIs, open data, etc.) to enrich entity datasets.
Communicating insights and recommendations clearly to both technical and non-technical audiences.

Were looking for a Product Designer who thinks, works, and designs with AI. Someone whos not just excited about AI-powered features but already uses AI tools in their daily design workflow.

This is a unique opportunity to design GenAI-based features and products while shaping the future of inclusive AI experiences.

Your role: building AI-powered, human-centered experiences

You own the design of AI-powered features and end-user experiences across our products, with a focus on usability, clarity, and impact
You use AI tools (like ChatGPT, Figma Make, Cursor, Bolt, Loveable.ai, Base44 and more) as part of your daily creative process from ideation and wireframing to content generation and design optimization
You collaborate with product managers, engineers, and data or ML teams to create smart, intuitive, and accessible interfaces that are built on AI capabilities
You translate PRDs and GenAI feature specs into experiences that feel simple, safe, and empowering even when the underlying tech is complex
You push boundaries actively experimenting with what AI can enable in product design, both in terms of user experience and your own internal workflows
You combine human-centered thinking with machine-enhanced creativity, constantly exploring ways to improve speed, insight, and output quality using AI
Bonus if you can demonstrate initiative in developing internal tools or plugins that improve design workflows for example: building custom Figma plugins, prototyping with APIs, automating QA tasks, or building mini apps for internal collaboration

Were looking for a Senior Data Analyst to help ensure the quality, completeness, and integrity of our foundational data. Youll work closely with data engineers, product managers, and operations teams to monitor pipelines, evaluate new data sources, design performance metrics, and derive insights that improve our entity models and customer outputs.
This role is ideal for a highly analytical and independent thinker who enjoys working with complex data ecosystems and translating messy real-world data into actionable insights.
RESPONSIBILITIES
Data Quality & Metrics
Define and maintain KPIs and quality metrics for POI and chain data accuracy, coverage, and freshness.
Monitor large-scale ingestion and enrichment pipelines, identifying anomalies, data drifts, or source inconsistencies.
Operational Analytics
Design dashboards and tools to track data health, system performance, and SLA compliance.
Provide visibility into the performance of automated systems and manual processes across the Foundation domain.
Cross-functional Collaboration
Work with engineers to validate and optimize merge, enrichment, and geocoding logic.
Partner with product and operations to assess the impact of data changes on downstream systems and customer-facing products.
Exploration & Research
Evaluate new data providers, test hypotheses about data behaviors, and contribute to decision-making for third-party integrations.
Develop data-driven recommendations to improve POI modeling and chain linkage accuracy.

We are looking for an R&D Group Leader to take ownership of our most critical technology efforts, shape the future of our products, and inspire a growing team to achieve excellence together!

What you'll be doing:

Own end-to-end delivery of core product capabilities, from strategy and design, through implementation, rollout, and ongoing support.
Lead a cross-functional team (10+ engineers, QA, developers, data science) responsible for the companys main IP.
Balance strategic initiatives (scaling platform, building new capabilities) with operational excellence (supporting more than 15K customers).
Partner with Product, Support, and other stakeholders to align technical direction with business priorities.
Drive structured planning processes, setting priorities, defining milestones, and ensuring delivery against commitments.
Champion Agile methodologies (Scrum/Kanban): run effective ceremonies, foster transparency, and ensure continuous improvement through clear KPIs and measurable outcomes.
Establish and maintain engineering best practices (architecture, code quality, testing, CI/CD, observability).
Mentor, develop, and inspire a high-performing engineering team while building a strong culture of accountability and collaboration.