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we are looking for a DevOps Engineer.
Responsibilities:
Collaborate closely with development teams to streamline processes.
Design, build and operate Kubernetes infrastructure and orchestration in Production.
Design, implement, and maintain automation workflows, scripts, and CI/CD pipelines.
Ensure infrastructure and application reliability, observability, performance, and security.

Were looking for a highly skilled, independent, and driven Machine Learning Engineer to lead the design and development of our next-generation real-time inference services - the core engine powering  algorithmic decision-making at scale. This is a rare opportunity to own the system at the heart of our product, serving billions of daily requests across mobile apps, with tight latency and performance constraints.
we are a mobile marketing and audience platform. we empower the mobile app ecosystem, simplifying mobile marketing, audience building, and mobile monetization. With direct integration into over 500,000 mobile apps, our platform processes enormous volumes of first-party data to drive intelligent, real-time decisions that fuel growth for our partners.
Youll work at the intersection of machine learning, large-scale backend engineering, and business logic, building robust services that blend predictive models with dynamic, engineering logic - all while maintaining extreme performance and reliability requirements.
Job Description:
Own and lead the design and development of low-latency Algo inference services handling billions of requests per day
Build and scale robust real-time decision-making engines, integrating ML models with business logic under strict SLAs
Collaborate closely with DS to deploy models seamlessly and reliably in production
Design systems for model versioning, shadowing, and A/B testing at runtime
Ensure high availability, scalability, and observability of production systems
Continuously optimize latency, throughput, and cost-efficiency using modern tooling and techniques
Work independently while interfacing with cross-functional stakeholders from Algo, Infra, Product, Engineering, BA & Business.

Required Software Intern (Malshab)
As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

We are expanding multiple teams across our ML SW stack and look for hardworking and motivated people to join our team. Working with the worlds best companies that build sector-leading products based on our designs. Youll share ideas with and learn new skills from the best engineers in the world. We work in small teams, and your contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!

Responsibilities:
You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework SW, kernel/user space driver stack, real time embedded software, test automation, and performance evaluation. As an experienced engineer you are expected to be able to take the lead on larger work-packages and mentor more junior engineers. You will also be working closely with the ML HW team to achieve optimal system partitioning.

We are looking for you who have strong analytical skills, the eagerness to find innovative solutions to sophisticated problems, and are comfortable working in a fast-paced and dynamic environment. You possess excellent interpersonal skills cooperating closely in diverse teams, striving together to fulfil common targets.

We are expanding multiple teams across our ML SW stack and look for hardworking and motivated people to join our team. Working with the worlds best companies that build sector-leading products based on our designs. Youll share ideas with and learn new skills from the best engineers in the world. We work in small teams, and your contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!

Responsibilities:
You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework SW, kernel/user space driver stack, real time embedded software, test automation, and performance evaluation. As an experienced engineer you are expected to be able to take the lead on larger work-packages and mentor more junior engineers. You will also be working closely with the ML HW team to achieve optimal system partitioning.

We are looking for you who have strong analytical skills, the eagerness to find innovative solutions to sophisticated problems, and are comfortable working in a fast-paced and dynamic environment. You possess excellent interpersonal skills cooperating closely in diverse teams, striving together to fulfil common targets.

We are seeking a Senior software engineer (10+ years) with experience in backend engineering, scalable systems, and Real-Time environments, ideally in mission-critical systems where latency matters. This is a high-ownership, end-to-end role with full responsibility for core system architecture and development. The role is primarily backend (~90%), with enough frontend ability (~10%) to ship simple UI when needed.

What Youll Do
Design and own backend architecture for scalable, distributed systems
Build and maintain APIs, async pipelines, and production services
Develop low-latency, Real-Time systems
Integrate AI model outputs into production workflows
Work with live video pipelines (ingest, process, route streams)
Ship minimal frontend features to unblock delivery
Collaborate with CTO and research team
Own reliability from design to production

We are seeking a Senior software engineer (10+ years) with deep experience in backend engineering, scalable systems, and Real-Time environments. This is a high-ownership, end-to-end role with full responsibility for architecture and development of core systems. You will design and build distributed backend services, async pipelines, and low-latency systems, integrating AI model outputs into production-grade workflows. The role is primarily backend (~90%), with enough frontend capability (~10%) to independently ship simple UI components when needed.

Youll work hands-on, building modular, self-contained services and supporting Real-Time video pipelines. The role involves close collaboration with the CTO and research team, driving technical decisions, and owning system reliability end-to-end-from design and testing through deployment and production stability in real-world enviroments