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Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale. You will have a chance to grow and develop professionally by owning data-driven projects from the research phase through to production, collaborating with highly experienced researchers.

Responsibilities:

* Develop classical machine learning and deep learning models that will impact company goals directly.
* Work with partner teams to design and implement solutions in recommender systems, classification and prediction for given objectives.
* Find solutions to complex problems in social network recommendations, understand the data generation process and the challenges involved with working with big data.
* Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Advantages:

* Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
* Experience in developing deep learning graph model solutions.
* Experience with managing and utilizing datasets at the scale of 10s of TB.
* Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
* Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations.
* Strong business acumen or prior industry experience within the social media or messaging space.

Kendago is a global leader in Direct-to-Consumer (D2C) digital marketing and advertising. We provide brands with a comprehensive suite of services, including proprietary AdTech-backed PPC, creative production, digital marketing expertise, and data-backed CRO optimization. We help our clients grow into world leaders by combining our unique approach to PPC with a focus on brand development, funnel optimization, and ad creativity. We are looking for an highly experienced Senior Full-Stack Software Engineer to join our core team. In this role, you will be a key technical pillar, responsible for driving the development of our most mission-critical features from concept to production. You will blend deep technical hands-on execution with high-level architectural design , ensuring our systems are robust, scalable, and built for performance. This is a hybrid position, including two to three work-from-home days per week , with flexibility based on team and individual needs. Our Office is located in Kiryat Ono.

Responsibilities:
Technical Leadership & Execution: Lead the end-to-end development of core features, maintaining a high standard of hands-on coding while overseeing the technical lifecycle. System Architecture: Design and build complex, scalable, and high-performance distributed systems. Collaboration: Work closely with Product Managers, Designers, and cross-functional teams to translate product vision into actionable technical requirements. Continuous Improvement: Drive the evolution of our development processes, system infrastructure, and overall code quality. Mentorship: Act as a technical mentor for team members, conducting code reviews and establishing engineering Best Practices.

Biz Dev:
R&D

Remote/Part time:
Hybrid

As an Inbound Sales Development Representative , you will join our fast-growing and dynamic team to drive future growth engine. You will challenge the norms, never settle, and relentlessly find a way to create an even better experience for future clients. You will be responsible for end-to-end management of small and medium enterprise (SME) leads, ranging from qualifying, pitching, onboarding and activating new clients. You will also collaborate closely with the Marketing and Channel Partnerships teams to refine our ideal customer profile. As a key member of the Growth team, you will also share valuable insights that will help create an even better experience for future clients.

Responsibilities:

Advocate for Create a strong first impression to our prospects by providing them with an end-to-end world-class experience and product expertise.

Identify Opportunities: Utilize data and speak with prospects to qualify and understand how our use cases can address their business needs and pain points.

Educate and Activate: Teach customers how to leverage the full range of products, and ensure adoption of our products.

We are building a new software engineering team with strong applied AI orientation to amplify success. The team will be focusing on creating company-wide applications to address our colleagues every day problems. You will have a chance to work with a broad range of teams , helping them to be more productive with custom solutions.
Collaborate with cross-functional distributed teams.
Gather, analyze and spec out requirements, and manage product deliverables.
Design and build scalable AI-driven products addressing real-world problems.
Stay current with the latest technical advancements, particularly in the field of AI and LLMs.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)

Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives

Technical teams are overwhelmed by manual, repetitive tasks, fragmented tools, and rapidly growing data. These challenges increase errors, slow decision-making, and prevent teams from focusing on strategic initiatives.
What You'll Do:
Build and deploy clusters of AI agents that tackle multiple use cases across the IT domain.
Work hands-on with LLMs-installing, running, and fine-tuning models. We are not just calling APIs.
Build backend services for data ingestion, AI pipelines, and integrations.
Integrate open-source AI modules directly: read, tweak, and ship.
Operate in AWS (Lambdas, APIs, infrastructure) to power AI-driven features.
Collaborate directly with customers-strong English communication is essential.

Were looking for a hands-on Senior BI Engineer with a can-do attitude to shape data strategy and transform complex datasets into actionable insights that drive key business and product decisions. Youll collaborate closely with data engineers, product teams, and business stakeholders to modernize our analytics stack and deliver trusted, impactful insights across the company.
Your Impact
Own and evolve BI stack, data models, and reporting infrastructure to enable data-driven decision-making.
Define and govern core business metrics to ensure consistency and reliability across all teams.
Lead analyses across product, marketing, and revenue functions to identify growth opportunities and optimize performance.
Build intuitive dashboards and champion analytics best practices for technical and non-technical stakeholders.
Improve data quality, lineage, and governance as the company scales.