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Required Senior iOS Developer
Team Overview
The Ad Rendering team focuses on Teads' client-side development, encompassing the in-app environment and SDKs. Our technology operates across hundreds of global publishers and diverse platforms and frameworks.
This role involves close collaboration with publishers, advertisers, developers, and product teams. You will work with cutting-edge technology alongside highly skilled professionals.
What will you do?
We are looking for a talented and innovative "Hands-on" Senior iOS Developer to join our team.
The ideal candidate has experience with iOS development, executes quickly, and is ready to think outside the box and potentially expand your skillset to other platforms and frameworks like Android and React Native.
In this role, you will develop exciting new features for some of the world's biggest publishers, reaching millions of users globally.

Required Machine Learning Platform Engineer
Team Overview
The ML Platform team builds the core infrastructure, services, and systems that enable machine learning at scale across the company.
We own the full lifecycle of ML workloads - from research and experimentation to reliable, large-scale production deployment.
The team focuses on:
Building scalable backend and infrastructure solutions for end-to-end ML workflows
Developing core ML platform components, including data processing, training, evaluation, and deployment
Empowering data scientists and product teams with robust, observable, and high-performance ML infrastructure
Solving complex challenges around scale, latency, throughput, reliability, and cost efficiency
Continuously evolving the ML platform by adopting new technologies and improving system performance and stability
What will you do?
As a ML Platform Engineer, you will design and build core backend systems and ML infrastructure that power research, training, and online inference at scale.
You will work at the intersection of backend engineering, data engineering, and machine learning, partnering closely with data scientists to transform research needs into production-grade platform capabilities with real business impact.
Key Responsibilities
Design, build, and own backend systems that support ML workflows, data processing, and core platform services
Architect and optimize systems for performance, scalability, reliability, and cost efficiency in production ML environments
Collaborate closely with data scientists to implement, iterate, and evolve ML platform capabilities
Build and maintain large-scale data ingestion, processing, and training pipelines
Ensure systems are production-ready through testing, observability, monitoring, and performance optimization
Investigate and resolve infrastructure and performance issues affecting critical ML and business KPIs.

We are looking for a senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
What will you do?
As a Senior Data Scientist, your mission will be to:
Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads global publisher network.
What will you bring to the team?
Experience in Statistics (i.e. statistical analysis, regression analysis, ) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, ).
An appetite for Data Science applied to high-volumetry, low-latency topics.
Ability to read scientific articles, to analyze critically, and to implement as appropriate.
Good programming abilities.
True scientist skills: fast learner, curious, sense of details, rigorous.
Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience of complicated topics.
Strong problem solving skills, and deducing from specific problems wider range products.
You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.

Required Senior DevOps Engineer
What will you do?
As a Senior DevOps Engineer, you will:
Own Core Data Platforms: Design, manage, and scale our diverse portfolio of datastores, including Cassandra, RDS/Aurora, Redis, Elasticsearch, and more.
Evolve Observability: Champion and advance our observability stack (Prometheus/Thanos, Grafana & ELK) to provide critical, real-time insights for hundreds of services.
Strengthen Reliability (SRE): Drive SRE best practices, including automating disaster recovery drills, managing our alerting strategy (AlertC), and improving system-wide resilience.
Modernize CI/CD: Help administer and optimize our CI/CD infrastructure, which includes Jenkins, Teamcity, and GitHub Actions.
Automate Everything: Leverage our Kubernetes and GitOps (ArgoCD/Flux) foundation to manage infrastructure as code, enhance developer self-service, and eliminate toil.
Collaborate & Consult: Act as a subject matter expert, partnering with development teams to help them choose, implement, and operate their data and observability solutions effectively.

We are looking for an enthusiastic AI Solution Manager who is a builder at heart and a changemaker by nature. In this role, you will be the catalyst for innovation, bridging the gap between ambitious business goals and actual technical delivery.
You wont just manage tasks; you will own the solution from idea to impact. We are looking for someone with a relentless curiosity to learn new tools, a passion for automation, and the drive to revolutionize our workflows. You will partner with stakeholders to design, prioritize, and build agentic AI flows that change the way we work.
What will you do?
Design & Build (Hands-on): Actively design and configure AI agents and automated workflows using low-code/no-code platforms. You turn concepts into working prototypes.
Product Ownership: Take ownership of AI initiatives. Define the scope, manage the timeline, and prioritize tasks based on business value and potential ROI. Ensure we are building the right things.
Stakeholder Partnership: Collaborate with business leaders to identify pain points. act as a trusted advisor who understands their needs and translates them into technical reality.
Drive Innovation: Be the companys "AI Radar." Constantly explore new tools and models, bringing fresh ideas to the table and challenging the status quo to improve efficiency.
Optimization & Impact: Don't just launch and forget. Monitor the performance of your solutions, troubleshoot issues, and iterate to ensure they deliver continuous value.
Why This Role?
Be a Pioneer: You will have a direct hand in shaping the future of how our company operates.
Autonomy & Impact: We give you the tools and the mandate to make a difference.
Forefront of AI: Work daily with the absolute latest in Agentic workflows and LLM capabilities.

We are seeking an experienced and security-oriented System Administrator with 3-5
years of hands-on experience to join our IT team. Responsible for maintaining,
configuring, and securing our organizations infrastructure, with a strong focus on
networking, virtualization, and firewall administration. Strong communication and
customer service skills are essential, as this role involves frequen interactio with
internal users and cross-functional teams.
Key Responsibilities:
● Manage and monitor internal infrastructure, including servers, networks,
virtualization platforms, and firewalls.
● Administer and maintain systems such as VMware/Hyper-V and backup solutions.
● Configure and maintain network devices (switches, routers, firewalls) with a focus on security best practices.
● Apply security patches, hardening procedures, and proactively monitor for threats and vulnerabilities.
● Respond to technical system support tickets and incidents in a timely and
customer-focused manner.
● Document system configurations, processes, and procedures clearly and
accurately.
● Collaborate with other IT staff to plan and execute infrastructure upgrades and improvements.
● Ensure compliance with security policies and industry standards.

we are looking for a talented Backend Developer.
Join the VRM team to build high-performance vulnerability management capabilities that translate large-scale security data and research findings into prioritized, actionable remediation paths. Youll work closely with researchers, product and operations teams to drive measurable reductions in customer risk.
This role provides the opportunity to lead end-to-end design & implementation of advanced server-side features using a wide range of technologies: Apache Spark, Apache Airflow, Scala, k8s, Ts, Python, Redis, Kafka, and Dockers.
If you are up for the challenge come and join us!
Key Responsibilities:
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing with tools such as Spark , Flink, written in Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.