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As a Backend Developer, you will directly impact the scalability, reliability, and intelligence of our core content pipelines.



As part of your role, you will:

Build and maintain backend services using NestJS and Python.
Develop and optimize APIs and microservices for sports-related content pipelines.
Take product requirements (PRDs), break them down into technical tasks, and implement them end-to-end within an existing codebase.
Integrate machine learning models into production systems and work on the services that power model-driven pipelines.
Collaborate closely with the AI team to integrate backend systems with machine learning components.
Participate in code reviews and contribute to architectural decisions that improve system scalability and reliability.
Work with real production data, troubleshoot issues, and continuously improve service performance.
Write efficient, production-grade code with strong ownership and attention to system design.

Be a part of QA team which tests and approve Rocotos wide variety of products - in all aspects - SW, HW, RF & system
Execute Test plans for new features and FW versions.
Write a Test plan document for new features or new products and improvements of existing features.
Analyze the system behavior and performance from log files.
Find and log bugs in a variety of the system aspects - Embedded FW, RF networks, IP networks and many more.

Cellebrite is looking for a Technical Support member with experience and technical background to handle case reproduction in the support LAB.
Key Responsibilities:
As a support LAB assistant, you will be required to simulate issues in the LAB and maintain the LAB environment for our global and domestic employees.
You will work together with our global and local interfaces to simulate problems on the LAB and provide feedback to the agent that handling the case.
Use Salesforce to manage cases.
Ability to work on flexible hours.

We are looking for B.A. / B.Sc. / M.A. / M.Sc. students with at least 1.5 years (a minimum of 3 semesters) remaining in their studies, who are available to work 3.5-4 days per week. Please note that this position is not focused on Machine Learning engineering. Decision scientists Interns are highly motivated team players with strong analytical skills. Our Decision Scientists specialize in creating, driving, and executing initiatives to mitigate fraud on our companys platform and improve the experience for our companys hundreds of millions of customers while guaranteeing compliance with regulations. Our Decision Scientists specialize in analysing user behaviours, creating and leveraging advanced proprietary risk management mechanisms. as an intern, you will overcome challenges presented by big data, evolving fraud techniques, new payment technologies and human behaviour.
Job Description:
Your day to day
In your role as a Decision Scientist Intern, you will:
Master our companys data warehouse to help gain insights into consumer risk
Perform data-driven behaviour research
Transform results into business cases
Develop and own data-driven risk decision strategies to support our companys global financial business goals
Measure performance against KPIs and goals
Close collaboration with partners and stakeholders in Risk and in our company to execute our companys long-term strategy.

we are embedding AI-driven capabilities across its insurance pricing and rating platform. To accelerate this, we are looking for a student with a strong analytical and mathematical background who can serve as a bridge between the theoretical foundations of our algorithms and their implementation in production code. This role offers a unique opportunity to bridge the gap between the theoretical foundations of our company's algorithms and their implementation in production code. You will create AI-powered skills and knowledge bases that enable developers to understand what specific functions do, how they relate to the underlying mathematics, and how they connect to the broader algorithmic pipeline. Youll work on cutting-edge projects involving LLMs, agentic capabilities, and structured knowledge management - solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.
?What youll do: Review and interpret theoretical and mathematical descriptions of algorithms used in the company platform (e.g. GLMs, gradient boosting, optimization routines, rating engines) and map them to corresponding functions, classes, and modules in the codebase. Author structured AI skills (prompt-based documentation packages) that allow an AI assistant to explain to a Developer what a given function does, its mathematical basis, inputs, outputs, and role in the end-to-end process. Create and maintain a structured knowledge base linking mathematical specifications to code artefacts, ensuring it is accurate, testable, and maintainable as algorithms evolve. Optimize, evaluate, and refine AI solutions to enhance performance, accuracy, and efficiency of generated explanations. Expand training and testing data for AI skills, leveraging both hand-crafted and automated examples. Identify gaps where code behavior diverges from or extends the documented theory, and address challenges in AI architecture scalability and reliability. Support the wider AI enablement program by contributing to prompt engineering, testing, and iteration of AI-powered Developer tools.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are looking for a graduate student of computer sciences or electrical engineering to support research work for next generation architectures of networking. In this role, you will explore and analyze new advancements of computer architectures and participate in building innovative new architectures.
Responsibilities:
- Assist in research of innovative computing and network architectures
- Analyze performance bottlenecks and architectural strengths and weaknesses
- Develop new ideas for implementation by product lines.

Our team researches and develops a real-time parallel and distributed computing software infrastructure, which is used for the research, development and prototype of wireless signal processing algorithms (6G) with strict real-time constraints. We are looking for an outstanding student, who will take part in the research, architecture design, implementation and real-time performance optimization of the system.

which department will you join?
the assembly department is responsible for assembling all the company's products.
we receive kits for assemblies from the warehouse and at the end of the process we release complex and tested products to the following stations.
in our department, an acceptance TEST is performed for hardware received from suppliers (qat).
we provide hardware repair support to all our lab employees and external customers (rma).
we provide support for prototypes of systems in development. what will your job look like:
perform acceptance tests for hardware received from suppliers (qat).
provide hardware repair support to all our lab employees and external customers (rma).
provide support for prototypes of systems in development.

our mission is to empower every person and every organization on the planet to achieve more. As an HR Generalist Intern, youll join a dynamic team that drives impact through data-driven insights, AI innovation, and meaningful HR initiatives. This is your opportunity to learn, collaborate, and contribute to projects that shape employee experiences and enable a One approach.
Responsibilities:
Project management: Support the execution of HR programs and projects that enhance employee experience and operational excellence.
Partner with cross-functional teams to promote collaboration and continuous improvement.
Data analysis: Pull and analyze HR reports, integrate insights, and provide clear recommendations using analytics and AI tools. Identify trends, patterns, and anomalies in HR metrics to support data-driven decision-making.
Assist in implementing HR processes into the lived experiences of employees, managers, and leaders.
Champion the practical adoption of AI tools within the HR team.

The Algo Data Science team develops and integrates sophisticated AI systems and advanced data frameworks to improve data usage in training for several features. We are using the most advanced technologies including Large Language Models, Foundation Models and intelligent agents into our technologies and workflows.
We are looking for an outstanding student to help improve our data infrastructure for efficient and advanced training for the Depth Sensing group. If you are excited about the intersection of LLMs, intelligent systems, and data, this role will challenge you.

In this role, you will join a team of researchers and engineers developing smart solutions for data handling during training, validation and evaluation to improve the performance of models and complicated systems for cutting-edge our products.
You will contribute to the entire system lifecycle from data retrieval to automation of pipelines and models success for depth and 3D applications.

Responsibilities:
Develop scalable frameworks for efficient data usage and processing pipelines.
Create innovative tools to analyze and enhance model performance.
Build and maintain automated data pipelines for training, validation, and evaluation workflows.
Implement version control best practices and contribute to collaborative codebases.
Collaborate cross-functionally with researchers and engineers from multiple teams.
Research and develop frameworks for advanced filtering and anomaly detection.
Optimize data storage and retrieval systems for large-scale ML workflows.

the industry leader in the web data domain, is looking for students for a part-time Deploy position!
The position is part-time, in shifts that include nights and weekends.
Responsibilities:
Monitor and support company servers in Linux
Release new features and updates on the server
QA (manual)