לוח משרות דרושים הייטק תוכנה, לחיפוש זה נמצאו 3,013 משרות

We are looking for a native French speaker with a high level of proficiency in English to join our Annotation and Analysis team at the as a Data Annotator and Analyst. In this role, you will work with large volumes of data in both French and English, annotating and analyzing datasets used to evaluate and train machine learning models, including large language models (LLMs). Your work will involve reviewing model outputs and preparing high-quality training data that supports the development and continuous improvement of AI-driven products. In addition, as part of the job, you will conduct complex analysis on the annotated data and provide insights to the other stakeholders. This position is ideal for someone passionate about linguistics and data, and who enjoys working on detail-oriented tasks that directly impact model quality. As part of a collaborative, cross-functional team, you will work closely with Data Scientists and Product Managers to ensure that datasets are accurately labeled and annotation standards support the development of reliable machine learning systems.

Responsibilities

Evaluate the quality of machine-translated text, with a focus on French language accuracy and fluency.
Annotate and assess AI model responses to support systematic evaluation and improvement of model performance.
Create high-quality annotated datasets used to train and evaluate LLMs and other NLP models.
Write and refine LLM prompts that support scalable human annotation workflows.
Collaborate with cross-functional teams, including Data Scientists and Product Managers, to communicate linguistic nuances and implications of French translations on model behavior and user experience.
Analyze annotated data and evaluation results to identify patterns, assess model quality, and surface insights for model improvement.

We are building an automation team. In your role as a Test Automation Engineer, you will design and implement robust automated testing frameworks to enhance our product quality. A unique opportunity to shape and develop the automation framework from the ground up, ensuring seamless integration of the automation infrastructure into the overall development process. Build and maintain scalable automation frameworks for efficient testing across multiple product lines.

Your Opportunity:
Automation Framework Development: Build and maintain an automation framework to support efficient and scalable testing across multiple product lines.
Test Design and Execution: Develop, execute, and manage automated tests to ensure product quality, focusing on key areas like functional validation, performance testing, and operational resilience.
Collaboration with Engineering Teams: Work closely with developers and QA engineers to identify testing requirements, integrate automation into CI/CD pipelines, and troubleshoot test failures.
Data-Driven Insights: Analyze and report test results, using data to refine testing approaches and to drive continuous improvements in the automation process.
Technical Growth: Deepen your technical expertise with a focus on automation for complex systems, SaaS, and cloud environments.
Project Ownership: Lead projects to implement and scale automation frameworks, developing a strong foundation for future product testing.
Strategic Testing Initiatives: Identify and implement innovative testing methodologies and automation strategies.
Cross-Functional Collaboration: Partner with product and engineering teams to enhance quality processes through data-driven testing and continuous improvement.

We are looking for an experienced NLP Data Science Team Leader to lead a team of talented NLP Data Scientists and drive the development of cutting-edge NLP solutions at scale. This role combines hands-on technical leadership, people management, and strategic influence over product and research directions.



Responsibilities

Lead and grow a team of NLP Data Scientists
Manage, mentor, and support team members professional development
Foster a culture of excellence, ownership, and continuous learning
Own end-to-end delivery of NLP solutions
Oversee algorithmic features from ideation through research, development, and production
Ensure high-quality, scalable, and maintainable solutions
Drive technical direction and innovation
Guide research efforts and evaluate new NLP/ML technologies
Translate business needs into impactful NLP solutions
Collaborate cross-functionally
Work closely with Product, Engineering, and Business stakeholders
Align team priorities with company goals and product roadmap
Maintain hands-on involvement
Contribute to architecture, modeling, and critical algorithmic challenges
Review code, experiments, and methodologies
Scale impact
Improve processes, workflows, and best practices for research and production
Ensure efficient use of large-scale data and infrastructure

We are looking for a Senior Flutter Engineer who takes ownership, cares about architecture, and wants to build systems end to end, not just screens.
You will be part of a multidisciplinary R&D group working across mobile, cloud, and IoT.
What Youll Do
Own features end to end, from design through production
Build and maintain Flutter applications used globally
Work closely with backend, product, QA, and device teams
Design solutions that handle real-world constraints such as connectivity, reliability, and scale
Use AI to improve workflows, CI/CD, and overall engineering practices
Why This Role Is Interesting
You are building a system, not just an app
Your code directly affects real-world operations in the field
You will work on non-trivial problems: connectivity, reliability, hardware interaction
You will have real ownership and influence on architecture
You will be part of a strong engineering team that cares about quality
Experience working in AI-augmented development environments (e.g., GitHub Copilot, AI-assisted testing, etc.).

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long- term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

As a Senior AI Engineer in the global CTO group, you will play a central role in building the next generation of AI-powered security capabilities across our product portfolio. This role is focused on rapid prototyping, experimentation, and innovation, turning emerging ideas into working product features that can scale across multiple products and technology stacks.

You will design and build AI-driven systems end-to-end, from agent-based workflows and model integrations to backend services, data pipelines, and product-facing capabilities. You will work closely with product, engineering, and research teams across the company to explore new use cases, validate ideas quickly, and bring impactful AI features into production.

This role is ideal for an experienced AI engineer who enjoys moving fast, working across boundaries, and building real production systems, not just experiments. Your work will directly influence how AI is embedded across our platforms and how customers experience secure AI at enterprise scale.

Naval Intelligence / Think tanks & OSINT NGOs / Maritime Fusion & Security institutes / International Relations background

Proven experience in analyzing and visualizing research insights including analysis of GEOINT/OSINT/ADINT/ELINT etc. data



Responsibilities

Develop and deliver reports by analyzing data via the Windward platform, as well as with relevant open-source research tools
Provide insights from data analysis to support decision-making processes
Ensure and incorporate feedback to improve and maintain data quality
Seek to improve processes to exceed customer expectations
Provides clear documentation for all relevant processes when necessary

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

Your Opportunity:
Work on everything running on our OT appliance from network data collection and proprietary protocols to sophisticated logical algorithms, data manipulations, and APIs.
Own your projects end-to-end, including design, development, testing, and deployment within an Agile environment.
Integrate AI to proactively identify security threats.
Build high-performance APIs and data-intensive systems primarily using Go.
Contribute to the transformation of our core technology toward cloud- integrated architectures and advanced predictive analytics.

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long- term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.