The Core Engineering group specializes in developing EverC's Data & AI-based detection capabilities, processing millions of data points daily. Identifying threats, revealing patterns, and seizing opportunities are our core objectives. Maintaining a robust and reliable data infrastructure is paramount to our success.
Role & Responsibilities:
EverC is actively seeking an experienced and passionate Data Scientist / Machine Learning Engineer to enhance our capability in identifying and mitigating the presence of undesirable products on well-known e-commerce platforms. In this critical role, you will leverage our vast data resources to drive innovations from the ground up. Your responsibilities will include:
Assume full ownership of end-to-end ML projects, from data analysis, design, and planning, to implementation, deployment, and impact analysis.
Proactively seek out and evaluate new ML and DL algorithms, including LLMs and computer vision algorithms, to enhance system performance. By developing prototypes and conducting experiments.
Collaborate closely with software engineers, data analysts, and product managers to ensure productization of ML solutions.

A day in the life:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Analyze our risk product, identify improvements, and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes.
Lead our risk model data science performance monitoring. Define, understand, and test opportunities to improve the product, and drive roadmaps through your insights and recommendations.
Deliver directions for future data science research that are related to the model performance.
Design data collection strategies and their applications for building new products. Collaborate with the data engineering team to define and implement data processing workflows.
Participate in the design of data preparation processes, ensuring seamless integration of business requirements and technical feasibility.
Exemplify and foster our humble, collaborative and impact-obsessed culture.

We are looking for a Customer Facing Data Scientist (LLM).
As a Customer Facing Data Scientist you will be at the core of our most important effort: how do we solve our customers LLM evaluation pains at scale.
You will work with some of the worlds best AI groups and with our top notch product data science team.
You will play a critical role in ensuring that our customers effectively use LLM Evaluation for testing and monitoring and have full ownership for identifying the best path of implementing the solution into our users LLM pipelines.
Thus helping them to prevent hallucinations, create automatic evaluation flows, and enable continuous performance tracking and improvement. Being customer facing means that you will be working with our customers to understand their needs, help them customize the solution and investigate issues.
This role requires expertise in data science and proficiency in Python. Communicating with customers means that you will need to present your ideas concisely, know how to find a way to work around customers/prospects objections and develop relationships.
The ideal candidate holds a relevant degree and possesses hands-on experience managing LLM solutions in an operational production environment along with a passion to make our customers successful.
Well be going through a lot together, so we want your character and mindset to be a good fit for a fast-moving startup.

we are looking for an excellent Data Science Manager to join our team! Stand as the unique leader, positioned at the intersection of fraud analysis, data science, and system flow engineering, to extract insights and deliver pivotal components of logic at the core of the system.

What youll be doing:

Be the professional leader and mentor to a team of talented data scientists and researchers.
Devise creative solutions to highly intricate real-world problems, using statistics, domain expertise, ML, graph theory, or anything else.
Work on the core of a multi-faceted system, at the junction of identity, similarity, and fraud detection, which is at the heart of technology, and critical to its bottom line.
Find techniques for automated learning from our data, which is meso-big and only sometimes tagged. In particular, hold our complex similarity search, clustering and anomaly detection fields.
Work alongside domain experts to define and develop the way we should synthesize a large corpus of analytical knowledge insights into a scalable streamed flow.
Develop measures, metrics, and uses for our large graph of humans and how to spot those fraudsters hiding in there.
Promote solutions and sophisticated ideas, communicate them to peers, management and customers. Be the Data Science face of the identity network domain of the company.

As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering, analytics, statistical analysis,product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment.

Responsibilities
Deploying AI modules to production:

Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
Deploy, configure, and implement hundreds of AI modules yearly using our orchestration mechanisms.
Design scalable deployment methodologies for new AI products
Address complex challenges associated with data in operational production environments, such as data quality, availability, and integration.
Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed.
Maintain our AI solutions in top performance:

Become a crucial part of our Ops team and work in a live operational environment, finding real-time solutions to complex problems.
Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors.
Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time.
Design new monitoring solutions and metrics to address production issues, data drifts, and performance degradation.
Investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent reoccurrence
Tool Development:

Develop tools and scripts to support data analysts and ensure efficient data processing and analysis.
Visualize data in informative and to the point visualizations.
Automate tasks related to AI deployment, data validation, and reporting.

Deep Instinct, the first cyber security company to apply Deep Learning to cyber security is looking for a Senior DevOps Cloud Engineer. Deep instinct is an innovative start-up that has a unique and game-changing software solution to protect Fortune 500 End-Point users against Zero Day & APT cyber-attacks. This is an incredible opportunity to get in early at a Pre-IPO Cyber Security company that is poised to do huge things! We're on a mission to disrupt the cyber security market and the time is NOW! You will take part in Developing, maintaining, and optimizing our products and their production environments. Play a key role in designing our transformation from a single tenant service to a high scale multi-tenant HA cloud native solution. Influence and optimize our software delivery lifecycle, Infrastructure as code, container orchestration, artifact managers, monitoring, and more while working closely with development and research teams.

Office Location:
TLV Office

Region:
Israel

Responsibilities::
What kind of things we do? Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them. Collaborate closely with development teams to understand their current build and release processes and make recommendations for improvement. Partner with cross-functional stakeholders, including development, research, operations, quality assurance and security, to streamline processes. Provide guidance to development teams to improve performance and operability of the solutions they develop. Build and maintain the CI/CD pipelines to improve developer productivity, agility, and code quality. Develop and continuously improve automation solutions to enable teams to build, deploy and test code efficiently and consistently. Ensure that systems meet business and customer needs for reliability and availability. Monitor and manage application performance and service quality, including initial troubleshooting, identification of root cases and issue resolution. Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.


Why Work With Us::
Deep Instinct , is the first cyber security company to apply Deep Learning as a platform. We are the only cyber security company harnessing the power of deep learning to prevent 99% of known and unknown attacks from malware and zero-day threats. Deep Instinct Prevention for Endpoints . Prevention of malicious files at the endpoint is critical. Deep Instinct prevents known, unknown, zero-day, and ransomware from executing on the endpoint Deep Instinct Prevention for Applications. is an agentless, on-demand, anti-malware solution for the enterprise that is device and system agnostic. With our unique, industry-leading deep learning ap

Our spearhead A-team of professionals is looking for a talented React Frontend Engineer to join the invention and creation of the products at the data security team.
In this role, you'll have the opportunity to elevate our advanced user interface, exercising autonomy in shaping and enhancing our product.
If you are passionate about building delightful user experiences, excited about security and ready to fight cybercrime, come join us - together we can make a worldwide impact!
Key Responsibilities:

Develop an efficient, reusable and high-quality code
Write and execute high-quality code with unit tests
Maintain UI infrastructure and keep it up to date with the new technologies
Collaborate closely with cross-functional teams, including designers and backend developers, to ensure seamless integration of frontend components with overall system architecture
Participate in the continuous improvement of development processes and coding standards, actively contributing to a culture of innovation and excellence
Stay informed about industry trends, emerging technologies, and best practices in frontend development, and apply this knowledge to enhance the team's skill set and project outcomes

We are is looking for experienced technologists with a combination of technical depth and excellent interpersonal skills to join the EMEA Prototyping team as Prototype Architect (PA). The PA will join a newly created group of hands-on developers focusing on the Israel market.

The PA will work on multi-week customer prototypes through collaborative projects with developers and solution architects from customers, partners and other stakeholders. A prototype brings technology and business concepts together and is a real technical implementation of a solution to a customer's business challenge. As a PA, you would focus on co-developing solutions on us with customers and enable them to ramp up as builders and take forward the implementation to production.

The ideal candidate for this role should combine hands-on development with solution architecture skills, and demonstrate a good understanding of the company`s services portfolio with experience building solutions following cloud architecture, security and operational best practices. Interest and experience with Generative AI is a plus for this role. The PA is expected to ideate and implement technical architectures addressing customer needs while working closely with specialist resources for domains requiring deep expertise

Key job responsibilities:
- Support the Prototype Engagement Manager in Israel and other local stakeholders in the technical qualification and scoping of new prototype opportunities.
- Lead the design and implementation of prototype architectures addressing customer needs working together with prototyping architects, solution architects and other stakeholders, with focus on Generative AI technologies.
- Deliver 3 to 8 weeks hands-on prototype projects with customers and partners, in agile and collaborative development engagements.
- Drive continuous technical enablement and knowledge transfer to customers and partners involved in prototype engagements.
- Develop and present technical demonstrations to Senior Business and Technical leaders, and document projects as appropriate.
- Proactively collaborate with the wider community such as Solutions Architect, Service and Solution teams to ensure optimal customer outcomes during engagements.
- Proactively develop reusable technical assets from customer engagements and promote within the EMEA and worldwide company`s SA community.

the most advanced intrinsic in-game ad solution for mobile, PC, console, and the metaverse. in-game ads put players first and help advertisers reach audiences programmatically in a non-disruptive and highly engaging way. A patented 3D ad tracking engine, the first to bring viewability measurement in-game with Oracle Moat and IAS, partnerships with trusted AdTech vendors, and compliant with the industry measurement standards outlined by the MRC and IAB make the preferred in-game advertising partner for brands and agencies worldwide.

helps game developers monetize their titles with ad placements that complement the gameplay, and by monetizing the entire game session, they benefit from consistent and reliable revenue streams. Supporting all major and custom built game engines, and a full-stack ad monetization solution that provides complete control over ad placements makes the preferred in-game ad monetization partner for developers worldwide.

Backed by Sony Innovation Fund, NBCUniversal, Samsung Next, Bandai Namco Entertainment 021 Fund, WPP, PayPal Ventures and many other prominent investors, is on a mission to make advertising in games better. Better for brands, better for game developers, and better for gamers. Learn more.

Were looking for a Data Scientist with excellent analytical skills to join our data team and take part in the development of next-generation data platform.

Implement data cleaning and preprocessing techniques to ensure the integrity of data
Develop predictive models for bidfloor optimization, bidding strategies, pacing management, and more
Write and improve queries to build our reporting pipeline
Analyze time-series data to identify trends, seasonality, and anomalies, enabling proactive decision-making and improving our time-series machine-learning models
Create and maintain data pipelines for ingesting, cleaning, and transforming large volumes of data
Learn, work, and gain confidence with big-data and engineering technologies (Druid, BigQuery, Airflow, Kafka, etc.)
Read and apply academic research papers to explore and implement cutting-edge data science methods and technologies
Collaborate and assist in customizing analytical solutions with multiple teams to deliver insights and solutions using data
Work closely with the Infrastructure team to develop and release new features
Work closely with the business teams to resolve complex requests and come up with solutions using data
Build data pipelines and schedule jobs for our reports, models, ETLs, etc.

we are looking for a Senior Software Engineer
What will you do
Developing Agent Software: Create and refine an agent software that seamlessly interacts with a third-party process, employing reverse engineering techniques. This involves utilizing low-level APIs, implementing DLL injection strategies, and employing minimum footprint techniques to ensure optimal resource usage.
System Architecture Design: Play a pivotal role in shaping system architecture, contributing from initial whiteboard sessions to the actual implementation phase. Collaborate closely with the team to design robust and scalable solutions.
End-to-End Feature Delivery: Take ownership of feature development from conception to deployment. Develop, test, and deploy endpoint software solutions tailored for Windows environments and the company's browser extension, ensuring they meet quality standards and user requirements.
Cloud Technology Integration: Leverage cloud-related technologies, including web services, to enhance the functionality and scalability of the software solutions. Integrate cloud services seamlessly into the agent software, enabling efficient data exchange and communication with external systems.
Close-to-OS Development: Utilize expertise in working close to the operating system, including Win32 API, to develop efficient and high-performance software components. Implement functionalities that interact directly with the OS, optimizing system resource utilization and enhancing overall performance.
Collaborative Engineering: Work within a dynamic and collaborative environment alongside a team of highly skilled engineers. Adapt quickly to changing priorities and agile workflows while upholding uncompromising standards for code quality and performance.
Code Ownership and Deployment: Take full ownership of your codebase, ensuring its integrity through rigorous testing and adherence to best practices. Deploy code into production environments, contributing to the continuous improvement of endpoint applications using technologies such as ElectronJS, Node.js, JavaScript, C/C++, C# and python.