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We are looking for a Senior Backend Engineer.
Our Payment and Billing Engineering Team is crucial to our global operations.
This team manages vital systems such as processing user subscriptions, entitlements, and inter-user transactions.
Lead the ownership and continuous enhancement of critical distributed system features, ensuring robust performance, scalability, and reliability in a mission-critical environment
Collaborate with multiple stakeholder teams in the company such as dev teams, marketing, finance & customer support
Designing and building automations for infrastructure, deployments and monitoring.
Writing clean, maintainable and testable code, and inspiring others to do the same.
Identifying and implementing software engineering best practices.
Brainstorming feature design, system architecture improvements and troubleshooting.

We are looking for a Senior BI Developer.
The BI team makes sure we are data driven in all its decisions.
We are the team that incorporates product, marketing and finance data to get a full picture of our business status.
Our team defines and builds the data pipelines and analytics infrastructure while performing cross-app analysis and visualizations. We work closely with analysts, data scientists and other stakeholders to facilitate their work and align everyone to create one source of truth.
What you will be doing:
Collaborate with stakeholders from different departments to capture analytical requirements
Develop data pipelines and build data infrastructure including data quality
Data ownership - define, document and integrate KPIs across the company
Define and monitor KPIs for various departments in the company
Build high level dashboards
Analyze large datasets, and provide useful actionable recommendations

We are looking for a Data Science Researcher.
What you will be doing:
Lead machine learning based projects from ideation, through research, evaluation, production implementation and monitoring.
Conduct independent applied research and innovation in new content and technological domains.
Truly understand data and draw practical conclusions from it.
Work with engineers, designers and product managers to produce new initiatives and improvement ideas.
Keep abreast of new research developments in academia and expose them to all team members and stakeholders.

Were looking for excellent graduate students with a proven track record who are passionate about advancing the state-of-the-art in our domains of interest. Our key areas of technology research include: large language models, recommendations and search, personalization, big data analysis, data-mining and applied statistics.
What you will be doing:
Conducting applied research and implementing it to production.

Were looking for a talented IT Software Developer to join our IT Department - Business Applications Team.
Someone who has a passion for Web development as well as UI/UX. Who has a desire to work in an enterprise and global environment.
In this position you will use your expertise in developing internal systems, and will be working closely with IT & Ops Managers, Finance, HR, business owners, designers and other development teams to gather new requirements and implement new features.
What you will be doing:
Brainstorming feature design, system architecture and troubleshooting.
Writing clean, maintainable and testable code, and inspiring others to do the same.
Full ownership of the technology stack including infrastructure and production-readiness of key systems.
Identifying and implementing software engineering best practices.
Work with CI/CD pipelines to deliver frequent and high quality features.
Applying best practices of resilience and observability

We are looking for a Data Science Researcher - Finance and Marketing.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.

The AI department is focused on bringing value to our customers through the development of algorithms and analytical solutions. As an applied AI Engineer in the department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLQ, anomaly detection, image generation, time series, and more).
The team uses versatile methods and state of the art tools to deliver the most accurate insight and optimal decisions to our customers. We are responsible for the design, research, development, deployment and maintenance of these tools, hence part of our work includes writing and deploying production code.


What You'll Be Doing:

* Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.
* Collaborate with fellow team members on exciting and challenging projects.
* Use state of the art tools to achieve high and robust performance.
* Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.
* Deploy and maintain your researched ML Models at scale within our cloud environment
* Implement the MLOps philosophy in everything you do.
* Collaborate with Product Managers, Dev and Data Engineers to provide great impact at scale while expediting model life-cycle.
* Constantly search for data driven value propositions for our clients.
* Constantly improve our models quality, and performance.
* Desire to continually keep up with advancements in data science practices.