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The worlds largest content recommendation platform, is hiring a Senior MLOps Engineer for the Algo platform group.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
What are some of the things you do on a day-to-day basis?
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

The worlds largest content recommendation platform, is hiring a Senior Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Required Senior Fullstack Engineer Demand
Curious about what its like to work at the worlds number 1 discovery platform as a Full Stack Engineer in Demand? Were glad you asked!
What are some of the things you do on a day-to-day basis?
Be a key member in our most important projects.
In this role you will have end to end ownership: you will be responsible for designing, developing, measuring and maintaining user-facing features for our platforms.
Make professional decisions based on big data and performance metrics of billions of users, while putting emphasis on business KPIs
Collaborate with the Product, Data and UX team throughout the company to iterate on the design and implementation of our product to ensure seamless integration, high performance, and a top-notch user experience.
Stay up to date with the latest trends and advancements in front-end technologies React advancements, browser features, Web APIs, A/B testing at scale and many, many more.
Collaborate within a diverse, international, and multicultural team
Our Tech Stack:
Java, Kafka, Vertica, MySQL, HDFS, BigQuery, Kubernetes, Prometheus, Grafana, Airflow, Spark, Redis, React.

The worlds largest content recommendation platform, is hiring a Senior Backend Engineer for the group.
What are some of the things you do on a day-to-day basis?
Develop one of the largest real time big data operation in the world to support over 140TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our products for the biggest OEMs in the world.
Work in a mini-startup environment where you are involved in every aspect of the product development lifecycle, from design to implementation, testing, deployment, KPI measurements and product iterations.
Work on our products such as: Content Recommendation, Monetization, Personalization and much more which influence millions of users worldwide.
Our Tech Stack:
Java, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Kubernetes, Prometheus, Grafana, Airflow, Spark, Redis.

Curious about what its like to work at the worlds number 1 discovery platform as a Senior Backend Engineer, Homepage for you? Were glad you asked!
What are some of the things you do on a day-to-day basis?
Develop one of the largest real time big data operation in the world to support over 140TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our products for the biggest OEMs in the world.
Work in a mini-startup environment where you are involved in every aspect of the product development lifecycle, from design to implementation, testing, deployment, KPI measurements and product iterations.
Work on our products such as: Content Recommendation, Monetization, Personalization and much more which influence millions of users worldwide.
Our Tech Stack:
Java, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Kubernetes, Prometheus, Grafana, Airflow, Spark, Redis.

The worlds largest content recommendation platform, is hiring a Senior Algo Data Engineer for the Algo platform group.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
What are some of the things you do on a day-to-day basis?
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

We are looking for an analyst who will take part in building innovative, unique products and services for our publishers.
In this role, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure development of successful products.
What are some of the things you do on a day-to-day basis?
Take part in product-related decisions and identify opportunities for product improvements
Research and analyze large volume data sets in order to generate useful conclusions and actionable recommendations
Define and analyze A/B tests to optimize product performance and understand user behavior
Develop data models and dashboards as well as find creative solutions for a variety of challenges never dealt with before.
Become the focal point for all data related matters, own and manage multiple data initiatives and projects on an on-going and an ad-hoc basis.
Work closely with R&D and Product teams, understand objectives and create products that contribute to the companys goals.

We are looking for a Procurement specialist to support the execution of the global purchasing activities. The position includes working closely with the Global procurement manager, various stakeholders within the company, and internal customers.
This position is a Maternity leave replacement for 10 months.
What are some of the things you do on a day-to-day basis?
Prepare, review and approval of purchase orders and order modifications according to the applicable process, making sure all data is recorded in the Procurement -System.
Internal Customer Support Respond to customer queries in a timely and accurate way, via phone, email or chat including resolving customer queries, recommending solutions, and guiding users through features and functionalities in the various procurement tools.
Identify customer needs and help customers use specific features
Monitor customer complaints and reach out to provide assistance
Inform customers about new features and functionalities
Follow up with customers to ensure their technical issues are resolved
Negotiate price and terms and conditions of selected purchase orders related to Saas, services and equipment. assuring most competitive pricing is achieved without sacrificing quality and delivery time.
Monitor / follow-up of on-time contract document receipt and signing
General administration work related to the procurement process such as digital filing, sorting, distributing, collection of signatures, etc.. ensuring full compliance and efficiency.
Ensure compliant and efficient processes are maintained while constantly driving process efficiency and simplification.
Preparing and writing process and procedures.