דרושים » אינטרנט ודיגיטל » Research Engineer

We are offering you to take a vital role in our research team that is responsible for constantly driving forward our ability to detect accessibility issues, enhancing the intelligence of our platform to provide customers with insights and usability enhancements that allow them to work more efficiently, and building innovative new products

To achieve those ends the team employs classic algorithms, data analysis, machine learning and generative AI.

You will be joining a team of highly professional and innovative engineers and scientists that are driven by passion for the domain and the mission of the company. We value scientific and engineering excellence, are committed to creating high impact products that reach our customers and work in collaboration with each other in an egoless environment.

Your Impact:
Research, design and implement new detection algorithms for web accessibility issues and improve existing ones.
Ensure all research is well documented and reproducible.
Build and enhance tools that enable data collection, labeling and analysis at scale for research purposes.
Integrate new models and algorithms into existing products.
Build interfaces for projects in the POC phase to enable demonstration and the collection of feedback from internal users and select design partners.

Were based in Tel Aviv, 5 minutes from Hashalom train station, and Yehudit light train station, and we have our own parking lot. We work in a hybrid mode, with flexible working hours.

We are looking for a Senior 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

We are looking for a Data Scientist- Autonomous.
The Research and 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

We are the teams who create all of our products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems?
We are seeking experienced full-stack Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer, Product Responsibilities
Full stack web/mobile application development with a variety of coding languages
Create consumer products and features using internal programming language Hack
Implement web or mobile interfaces using XHTML, CSS, and JavaScript
Work closely with our PM and design teams to define feature specifications and build products leveraging frameworks such as React & React Native
Work closely with operations and infrastructure to build and scale back-end services
Build report interfaces and data feeds
Sets direction and goals for the team regarding project impact, product quality and engineering efficiency
Leads major initiatives, projects, teams, rollouts and phased-releases
Helps to onboard new team members, provides mentorship and enables successful ramp up on your team's code bases.

The Data-Apps team is seeking a versatile Principal Full-Stack Engineer to lead the development of high-impact products for both internal stakeholders and external users. As a central member of our Research department, you will take full ownership of our AI-driven solutions architecture, design, and evolution, driving organization-wide technical strategies.
This role demands a proven leader with deep expertise in the development of backend, frontend, and cloud infrastructure, including Infrastructure as Code (IaC). You will drive the entire development lifecyclefrom conceptualization and system design to deployment and maintenanceensuring our solutions are scalable, secure, and aligned with business needs.
Youll work closely with AI researchers, data analysts, and medical researchers to develop solutions that maximize the impact of AI technology.
This role is pivotal , offering the opportunity to shape our technological landscape while driving the future of AI in healthcare.
Responsibilities:
Architectural Leadership: Define and drive organization-wide technical strategies that shape our AI products and ensure long-term scalability and robustness.
Lead Full-Stack Project Development: Spearheaded a high-impact project, overseeing all technical stages from initial design to final deployment. This includes crafting user interfaces with modern frameworks and backend system architecture.
Implement Web Applications: Utilize ReactJS and VueJS alongside HTML and CSS to ensure seamless user experiences.
Develop Scalable Backend Systems: Build distributed, scalable backend solutions, optimizing for performance and reliability. Incorporate AWS cloud services, focusing on event-driven architecture for efficiency and scalability.
Incorporate Best Practices: Champion code quality, CI/CD processes, and agile methodologies to enhance team excellence and product reliability.
Strategic Collaboration and Influence: Engage with a diverse array of stakeholders, including users from different backgrounds, development teams, product managers, and project managers. Tailor development efforts to meet a wide range of user needs and business objectives, leveraging your technical expertise to influence product direction and strategy effectively.
Cost-Effective Design and Development: Strategize development and infrastructure design with an emphasis on cost efficiency, understanding the pricing and operational costs, and planning for sustainable growth.

Why Youll Love Your Job:
Develop a state-of-the-art product that helps our customers with their data testing needs.
You are responsible for all parts of the software development process: requirements analysis, implementation, testing, maintenance, etc.
Particular focus is on performance, scalability, and security.
Work with open-source and enterprise-grade databases/products.
Innovate on the Algorithm/AI Front:
Design and implement advanced machine learning models for classification tasks.
Develop and optimize algorithms for parsing and processing HTML trees to extract and structure data effectively.
Create decision-making systems that integrate seamlessly into our testing frameworks.
Explore and integrate large language models (LLMs) to enhance our products capabilities.
Continuous learning and improvement of both your skills and our processes. is part of your daily business.
Take ownership of the testing and quality of your code.
Continually contribute to and challenge decisions made by the team to ensure the best outcome for our organization.
Teach, and openly learn from your teammates.

As a Staff Software Engineer, you'll be at the forefront of building the future of application security. Youll be challenged to create high-performance, reliable, and scalable services while collaborating closely with cross-functional teams. Were looking for individuals who are passionate about crafting exceptional software, solving complex problems, and driving innovation.

The Runtime Insights Team is at the forefront of leveraging runtime data to enhance םור products, such as Software Composition Analysis (our Open Source) and Static Application Security Testing (our Code) . Our mission is to deliver actionable insights by using technologies like eBPF and code-to-cloud correlation to bridge the gap between runtime behavior and software vulnerabilities.

We are seeking a highly skilled and motivated Staff Software Engineer to join our Runtime Insights Team. You will work on developing innovative solutions for capturing and analyzing runtime data to provide developers and security teams with enhanced context for vulnerability prioritization and remediation. This is a high-impact role that involves working closely with product managers, designers, and engineers across our company.

Youll Spend Your Time:
Proactively identifying and design improvements to the system, for near-term and long-term strategic innovation for new products.
Understanding, breaking down, clarifying and tackling ambiguous design choices.
Championing team members to grow and improve their technical skills.
Identifying conflicts with other groups and seek resolutions that improve on what either group did on their own.
Assuring that internal SLOs for our service architecture are met by the group's external interfaces and APIs.
Driving improvements to the stability, performance and security across the group's 4-year evolution.
Actively engaging in coding.
Driving collaboration across the group. Build trust between teammates, stakeholders, and other engineers.
Proactively identifying potential challenges across the group, drive solutions to them, and influence implementation.
Modelling sustainable working for the group, making incremental and predictable changes.
Engaging engineers across the group and enable them to try new ideas and learn from trial and error (e.g. post-mortems).
Growing good engineers into great engineers.

As a member of the Cloud Native development group, you will be responsible for the software behind the fastest NoSQL clusters on earth, supporting over 200 million ops/sec at sub-millisecond latency with true linear scalability.

The Cloud native team creates components that integrate with modern orchestration systems such as Kubernetes and Cloud Foundry, making the adoption of our Enterprise simple and easy. Our ideal candidate is a strong individual that loves to work with a diverse team of bright and ambitious people. You are passionate about technology in general and specifically the challenges around cloud, performance, and distributed computing. You are a quick learner, always eager to learn and improve. If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful startup, then this is the right challenge for you

What youll do:
Develop the next generation of our products and solutions using Go and Python.
Own our Cloud-Native features end-to-end, from design through development and deployment.
Debug, maintain, and improve the Kubernetes/CF infrastructure, enhancing its ability to handle many thousands of databases with millions of requests per second.
Provide technical leadership and guidance to other team members.
Participate in various open-source projects that maintains and/or contributes to.
Work closely with team members, product, DevOps, support, customer success, and other R&D teams.

Ask a member of our team and theyll answer, Our people! We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When youre part of our team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Cloud Security was born out of the acquisition of Ermetic, an innovative cloud-native application protection platform (CNAPP) company, and a leading provider of cloud infrastructure entitlement management (CIEM). The acquisition combines two cybersecurity innovators and marks an important milestone in mission to shift organizations to proactive security. The combination of and Ermetic offerings will add capabilities to deliver market-leading contextual risk visibility, prioritization and remediation across infrastructure and identities, both on-premises and in the cloud.
Your Role:
Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.
Your Opportunity:
Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.
Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.
Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.
Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

We are seeking an experienced and mature leader to head our innovative engineering team within the AI department. This role requires a responsible individual who will drive the team's versatile and dynamic projects, primarily focused on full-stack development with an emphasis on backend and infrastructure. The team develops systems central for the companys research processes, supporting continuously evolving innovative research initiatives within the company.
As an Engineering Team Lead, you will own the planning, execution, and delivery of critical projects, ensuring alignment with business goals and timelines. Your role involves collaborating closely with diverse stakeholders, including AI researchers, product managers, data analysts, data scientists, medical researchers, and regulatory teams, to translate complex requirements into robust, efficient, and scalable technical solutions. You will focus on maintaining high-quality standards through rigorous code reviews and robust CI/CD practices.
This position demands deep technical knowledge, primarily in backend development and infrastructure, alongside an understanding of the full-stack development cycle. You'll foster a culture of excellence, mentorship, and continuous improvement, empowering your team to innovate, stay updated with technological advances, and uphold high software development standards.
Responsibilities:
Technical Leadership: Provide technical direction, mentorship, and oversight for full-stack development, emphasizing backend and cloud infrastructure.
Project and Team Management: Act as an effective Scrum Master, managing sprint planning, prioritization, task estimation, and delivery commitments to meet quarterly goals.
Architecture and Design: Guide the team in designing scalable, maintainable, innovative technical solutions, ensuring long-term reliability and performance.
Collaboration and Communication: Effectively communicate and collaborate across teams, managing relationships with internal stakeholders, product management, and business units.
Process Excellence: Champion Agile best practices, enhance CI/CD processes, and ensure high-quality code, thorough testing, documentation, and robust system architecture.
Innovation and Business Alignment: Lead a versatile team that consistently drives innovation, aligning technical solutions closely with strategic business needs and organizational goals.