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We are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for a motivated and detail-oriented Integration Engineer to join our team. This role is key in bridging development and manufacturing by ensuring a smooth and efficient transition from R&D to production. Responsibilities: - Integration and assembly of radar systems from development to production. - Perform board-level and system -level testing, debugging, and validation. - Work closely with R&D, production, and QA teams to ensure product readiness. - Develop and execute TEST procedures and integration documentation. - Identify and resolve technical issues across the integration process.

Were looking for a Senior Software Engineer who is passionate about both browser-based JavaScript and backend development.
This role is ideal for someone who enjoys working across the stack, solving performance challenges in the browser, and building scalable backend systems.
What Youll Do:
Develop and maintain high-performance client-side scripts using Vanilla JavaScript, ensuring compatibility and minimal impact across diverse customer websites.
Optimize cross-browser rendering, troubleshoot performance issues, and implement best practices for browser behavior and security.
Build and maintain backend services using Node.js, focusing on scalability, reliability, and maintainability.
Collaborate with product managers, designers, and engineers to define technical requirements and deliver impactful solutions.
Participate in architectural discussions and contribute to the evolution of both frontend and backend systems.
Ensure high code quality through code reviews, testing, and adherence to best practices.
Work with infrastructure components such as Redis, OpenSearch, AWS services, and Kubernetes.
Support observability and performance monitoring using tools like Grafana and Prometheus.
Contribute to initiatives around script safety, measuring and minimizing impact on web page performance across various environments.
R-244739

Were looking for an experienced Product Data Analyst to join the team Yield and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique opportunity to influence the evolution of a leading experience-optimization platform, enabling some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
Role:
Collaborate with product managers to define, refine, and lead KPIs and success metrics aligned with product goals. Support planning, feature evaluation, and post-launch performance reviews to ensure data-driven, measurable product decisions
Analyze user behavior and product usage through quantitative methods to identify pain points, uncover trends, and measure feature adoption to inform product strategy and improvement
Develop and maintain dashboards and reports that provide product and business stakeholders with timely, actionable insights, ensuring key metrics are accessible and accurately reflect performance across product initiatives
Contribute to the development and upkeep of data models and support the maintenance of scalable, reliable ELT pipelines. Play a key role in shaping the underlying data infrastructure that drives analytics across product and business functions
Monitor KPIs and drive continuous efficiency improvements
R-265437

we are looking for a Backend Software Engineer to join our growing team. Youll help design and build a complex SaaS platform that integrates with security systems, on-prem tools, and a powerful calculation engine, all while providing the best user experience
. In our team, youll work closely with colleagues across Product, Cyber, DevOps, and QA to continuously deliver impact.
Its a startup vibe inside a big company: fast-moving, hands-on, and full of opportunities to grow.
You'll deepen your skills in architecture, scalability, and secure system design and help shape something that matters.
As a Backend Software Development Engineer, you will:
Plan and design high-quality backend solutions, ensuring quality through strong architecture and comprehensive testing.
Build various core components integrated as a whole product:
Extensive and stable integration solutions to both internal and external cyber sources and systems.
Improve, validate, and innovate algorithms, calculations and analytics throughout all system components and integration points.
Work in a fast-paced and agile work environment with business-oriented delivery focus.
Communicate with team members, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines
Proactively self-learn, maintain, and troubleshoot all existing system components to ensure smooth and reliable operation.
Review and rewrite legacy code to latest technologies.
R-252004

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.