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we are looking for a Senior ML Engineer.
Responsibilities:
Work on core data and machine learning infrastructure, which is at the heart of offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.

we are looking for a Customer-Facing Data Scientist.
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

We are looking for a Senior AI Researcher to join our foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.

In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.

You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.

We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.

Required Senior Full Stack Engineer
About The Position
We built a platform that builds businesses. From launching and managing to growing a business, we are the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses
Our Guidance Engine assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard.
Through our business-building platform, were turning the process of starting, managing, and growing a business into a better experience; were simplifying the business journey.
We believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business.
We Need You!
Our developers take full ownership across the stack - from ideation and architecture to deployment, observability, and maintenance. Youll craft seamless user experiences, build scalable backend systems, and help shape how AI integrates into our engineering workflows and product development.In our full CI/CD environment, youll work closely with a passionate team, leveraging modern technologies and AI-driven tooling to accelerate development, automate repetitive tasks, and deliver high-quality, high-impact solutions that empower millions of small businesses worldwide.
Key Responsibilities:
Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
Build next-generation web applications focused on user experience and scale.
Create efficient and reusable front-end abstractions and systems, while adopting AI-powered tools that accelerate UI development (e.g., Figma-to-code generation).
Craft secure, scalable, and maintainable backend services, and contribute to decisions around how AI/MCP capabilities are exposed across microservices.
Lead architecture design, implementation, and monitoring of solutions.
Perform code reviews, drive engineering best practices, and help the team adopt AI tools that boost productivity and improve developer experience.
Champion modern technologies - including AI integrations, MCP patterns, observability, and automation - to push our engineering organization forward.
Nice-to-know:
Location: We are based in Rothschild, Tel Aviv.
Hybrid Work Model: 4 days in the office and one day from home.

Required Full Stack Engineer
About The Position
We built a platform that builds businesses. From launching and managing to growing a business, we are the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses
Our Guidance Engine assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard.
Through our business-building platform, were turning the process of starting, managing, and growing a business into a better experience; were simplifying the business journey.
We believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business.
We Need You!
Our developers take full ownership across the stack - from ideation and architecture to deployment, observability, and maintenance. Youll craft seamless user experiences, build scalable backend systems, and help shape how AI integrates into our engineering workflows and product development.In our full CI/CD environment, youll work closely with a passionate team, leveraging modern technologies and AI-driven tooling to accelerate development, automate repetitive tasks, and deliver high-quality, high-impact solutions that empower millions of small businesses worldwide.
Key Responsibilities:
Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
Build next-generation web applications focused on user experience and scale.
Create efficient and reusable front-end abstractions and systems, while adopting AI-powered tools that accelerate UI development (e.g., Figma-to-code generation).
Craft secure, scalable, and maintainable backend services, and contribute to decisions around how AI/MCP capabilities are exposed across microservices.
Lead architecture design, implementation, and monitoring of solutions.
Perform code reviews, drive engineering best practices, and help the team adopt AI tools that boost productivity and improve developer experience.
Champion modern technologies - including AI integrations, MCP patterns, observability, and automation - to push our engineering organization forward.
Nice-to-know:
Location: We are based in Rothschild, Tel Aviv.
Hybrid Work Model: 4 days in the office and one day from home.

our company runs on small, autonomous pods that own an outcome and a roadmap end to end. We hire engineers, not language specialists: we care that you can reason about systems, pick the right tool for the problem, and ship reliable software across the stack.
As a Senior Full Stack Engineer, you'll build the product surfaces that bring our marketplace together - campaign management and creation, unified dashboards and reporting, audience and asset tooling, and the APIs that connect demand to supply. You'll work across front-end, back-end, and data, contributing to the unified product architecture at the heart of our FY27 roadmap. The underlying platform requires heavy back-end engineering, low-latency optimization, and algorithmic problem-solving to manage massive throughput and real-time marketplace dynamics.
About the Senior Full Stack Engineer Role
Design and build full-stack features - from responsive web front-ends to back-end services and APIs - that power campaign management, reporting, and marketplace optimization
Choose the right language and tools for each problem (we run a polyglot stack), and keep the front end lightweight by pushing complex computational logic, data modeling, and heavy algorithmic weight into robust, scalable back-end services
Build and consume well-designed APIs that integrate DT products into a unified architecture rather than isolated silos
Own your services in production: testing, observability, performance, and on-call, treating quality as a whole-team responsibility
Collaborate directly with product leads and stakeholders, contributing to scoping, estimation, and technical decisions within your pod
Mentor teammates and raise engineering standards through code review, automation, and pragmatic architecture.

At our company, we make mobile advertising and discovery experiences more meaningful for users, app publishers, and advertisers - intelligently connecting people across more devices than anyone else in our space. Our on-device footprint, Ignite, ships with hundreds of millions of devices through the world's leading OEMs and carriers, and is the foundation of our strategy to maximize the value of our on-device presence.
As a Senior Mobile Engineer, you'll build and harden the SDKs and on-device services that power app delivery, discovery, and monetization at carrier and OEM scale. This is a high-impact role on a small, autonomous team that owns its products end to end - from design through release, monitoring, and on-call. Your work directly supports our FY27 goals of reducing installation failures, enabling dynamic app delivery, and extending our on-device presence into alternative distribution.
About the Senior Mobile Engineer Role
Design, build, and maintain high-performance Android SDKs and on-device services (with iOS work as our cross-platform footprint grows), focusing on reliability, footprint, battery, and security
Drive down install and delivery failures - improving package-manager reliability, dynamic app-delivery (ASR), and recovery paths across a highly fragmented device and OS landscape
Partner with OEM and carrier integration teams to ship features that operate within tight platform, privacy, and resource constraints
Extend on-device surfaces that power alternative distribution and brand-on-device experiences, a key pillar of DT's FY27 roadmap
Own the full lifecycle of what you build: instrumentation, alerting, rollout strategy, A/B experimentation, and on-call for your services
Raise the bar on code quality through reviews, automated testing, and tooling, and mentor other engineers on mobile best practices.

The Tech Platform organization maintains and evolves the foundational platform and shared services that every other DT workstream depends on. As we assemble siloed products into a single marketplace, getting the platform right - reliable, observable, standardized, and cost-efficient - is the critical variable for execution at marketplace scale.
As a Senior Infrastructure Engineer, you'll design and operate the large-scale distributed systems, data infrastructure, and deployment platforms that serve tens of billions of daily events. You'll help drive our OneDT standardization - including the migration to GitOps/ArgoCD and unified CI/CD - and build the platform capabilities (including ML and data infrastructure) that the rest of engineering builds on.
About the Senior Infrastructure Engineer Role
Design, build, and operate large-scale distributed systems and data platforms for reliability, scalability, and cost-efficiency
Drive the OneDT platform standardization: GitOps/ArgoCD adoption, unified CI/CD pipelines, and a clear developer-ownership model across business lines
Build and operate Kubernetes-based infrastructure, including Spark-on-K8s and data/ML platform tooling (e.g., Databricks ecosystems)
Implement MLOps and data-pipeline capabilities - training, deployment, and serving infrastructure - in partnership with ML and Data teams
Champion observability, automation, and cost-optimization initiatives that improve reliability while reducing spend
Participate in on-call rotations, lead incident response and blameless postmortems, and prevent recurrence through automation and platform improvements.

As a Senior Backend Engineer on the Exchange Engine team at our company, you will be a driving force behind the core systems of our massive mobile advertising platform. You will tackle complex architectural challenges where every millisecond counts, building real-time, highly concurrent systems that process millions of requests per minute. In this position, your impact extends beyond feature implementation; you will take charge of major initiatives, architect core systems, and raise the bar for engineering excellence across the entire team.
Key Responsibilities
Architectural Design & Execution: Lead the end-to-end design, development, and delivery of complex, scalable, and highly available backend services for our real-time ad exchange. Architect systems with a focus on long-term maintainability, ensuring that large-scale changes and migrations are predictable and low-risk.
Performance Optimization: Profile, tune, and optimize system performance to ensure ultra-low latency and high throughput under massive concurrent loads.
Technical Mentorship: Act as a technical multiplier by mentoring junior and mid-level engineers, conducting rigorous code reviews, shaping technical standards, and promoting software engineering best practices.
Cross-Functional Leadership: Collaborate directly with Product Managers, Data Scientists, and other engineering squads to translate complex business requirements into robust technical solutions and to understand the revenue journey, ensuring technical decisions directly support market competitiveness and platform growth.
Production Excellence: Own the lifecycle of your services in production. Implement advanced monitoring, alerting, and observability to troubleshoot and resolve deep-system production incidents.
Infrastructure Collaboration: Work closely with DevOps to optimize our deployment pipelines and cloud infrastructure (Kubernetes, GCP).
AI-Driven Engineering: Leverage modern AI coding assistants and agentic tools to accelerate development velocity, automate routine tasks, and free up cognitive load for complex architectural challenges.

We are seeking a talented QA engineer to design testing procedures for our software applications. In this role, you will be responsible for analyzing the functionality of applications and designing tests to validate their performance. You will also be required to identify bugs and collaborate with the software design team.
Responsibilities
Plan, execute, and oversee product inspection and testing for quality and conformance to specifications and deliverables
Collaborate with cross-functional teams to understand product requirements and specifications.
Design, develop, and execute test cases, scenarios, and scripts for both manual and automated testing.
Conduct thorough regression testing to identify software defects and verify bug fixes.
Work closely with developers to reproduce, isolate, and debug issues.
Contribute to the design and implementation of automated testing frameworks and tools.
Document test procedures, results, and defects clearly and concisely.
Participate in regular team meetings and provide feedback on product quality and testing strategies.
Provide training and support to quality assurance team members that covers systems, policies, procedures, and core processes.

We are seeking a talented QA engineer to design testing procedures for our software applications. In this role, you will be responsible for analyzing the functionality of applications and designing tests to validate their performance. You will also be required to identify bugs and collaborate with the software design team.
Responsibilities
Plan, execute, and oversee product inspection and testing for quality, conformance to specifications, and acceptance criteria.
Collaborate with cross-functional teams to deeply understand product requirements and translate them into test coverage.
Design, develop, and execute test cases, scenarios, and scripts for both manual and automated testing workflows.
Conduct thorough regression testing to identify defects, verify bug fixes, and protect against regressions.
Work closely with developers to reproduce, isolate, and debug issues - bridging the gap between QA and engineering.
Contribute to the design and implementation of automated testing frameworks and internal tooling.
Document test procedures, results, and defects clearly - keeping the team informed and the record clean.
Participate in regular team meetings and provide actionable feedback on product quality and testing strategies.
Provide training, guidance, and mentorship to QA team members on systems, policies, and core processes.