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As a Senior Research Scientist, AI & Data Systems at Eon Research, you will conduct applied research at the intersection of AI, data systems, and large-scale storage. you will explore challenging technical problems, publish research in leading peer-reviewed venues, file patents, and translate research breakthroughs into production-ready product capabilities.

This role is ideal for a researcher with a strong publication record, deep expertise in a relevant research area, and experience bringing research into real-world products.

Research Areas
Query Processing and Query Engines: Query optimization and execution over columnar and lakehouse formats, including Apache Iceberg and Parquet, as well as approximate query processing using sketches and synopses.

Storage Systems: Deduplication, compression, and data layout optimization for large-scale storage.

Data Integration and Discovery: Entity resolution, schema matching, table joinability, and data discovery, including the use of LLMs as judges.

Information Retrieval and RAG: Retrieval-augmented generation over enterprise data, including emails, documents, and databases.

LLM Evaluation and Benchmarking: Evaluation frameworks and benchmarks for LLM agents working with enterprise data.

LLMs for Software Engineering: CI failure diagnosis, automated debugging, and program repair.

Were looking for a strong, experienced developer, someone who has built real systems, understands production, and takes ownership end to end.



In this role, you will:

Build and maintain backend services in Node.js at a production level
Develop modern frontend applications using React or Vue
Own features end-to-end from design to production
Work closely with product, data, and design teams
Improve performance, reliability, and code quality
Write clean, maintainable, production-grade code

Were looking for a highly organized, proactive, and hands-on Office Manager to join our team and take ownership of our day-to-day office operations.

This is a dynamic role supporting two companies within the group, combining office management, employee experience, and operational coordination.

You'll be the go-to person for employees, ensuring everything runs smoothly while creating a welcoming, organized, and positive work environment.

We're looking for someone who enjoys being at the center of things, takes initiative, pays attention to the details, and knows how to get things done.



Responsibilities
Own and manage day-to-day office operations, ensuring a smooth, organized, and efficient work environment.
Serve as the main point of contact for employees' daily needs and welcome visitors to the office.
Manage office logistics, supplies, maintenance, and vendor relationships, including cleaning services, parking, and other service providers.
Handle administrative and basic finance-related tasks, including employee attendance tracking, invoice processing, and receipt management.
Plan and execute employee welfare and engagement activities, including happy hours, team events, offsites, and gifts.
Coordinate employee onboarding and offboarding processes, including equipment, logistics, and administrative arrangements.
Provide occasional recruitment support, including interview scheduling, candidate coordination, and initial screening calls when needed.
Independently manage operational and administrative projects from planning through execution.
Identify opportunities to improve office processes and drive operational efficiency.

As a Customer Support Specialist, you will play a vital role in ensuring our customers succeed with innovative products and services:



Serve as the primary point of contact for customers, managing inquiries via chat, email, WhatsApp, and phone.
Guide customers through the onboarding process and empower them to use products effectively.
Proactively engage with customers to identify their needs, resolve issues, and ensure their satisfaction.
Identify upselling opportunities and recommend tailored solutions to enhance customer value.
Collaborate closely with Product teams to ensure efficient resolution of customer issues.
Continuously monitor customer feedback and satisfaction metrics, contributing to ongoing improvements.

We are looking for a hands-on, proactive, and service-oriented IT Specialist to join our growing team.

In this role, you will be responsible for providing end-to-end IT support, both onsite and remotely, while maintaining our day-to-day IT operations, infrastructure, and employee technology experience.

You will work closely with employees, vendors, and internal teams to ensure a secure, reliable, and efficient IT environment, while supporting our security and compliance processes.

Key Responsibilities



Provide Tier 1 and Tier 2 IT support for Windows and macOS environments, including hardware, software, and user-related issues.
Manage employee onboarding and offboarding, including device provisioning, account setup, access permissions, and secure equipment returns.
Administer Google Workspace and Microsoft 365, including users, groups, MFA, SSO, and access management.
Deploy and manage endpoint devices through MDM solutions, including encryption, patching, and security policies.
Maintain office IT infrastructure, including Wi-Fi, switches, VPN, firewalls, meeting room equipment, and peripherals.
Manage IT assets, software licenses, hardware procurement, and vendor relationships.
Troubleshoot network and connectivity issues and coordinate with external service providers.
Support IT security controls, compliance requirements, and continuous improvement of internal IT processes.

We are looking for a mid-level Data Engineer, experienced with building data pipelines using Python and Airflow for structured data and relational databases. The ideal candidate is a self-directed learner, takes ownership of the pipelines they build, and cares about data quality as much as feature delivery.





Key Responsibilities:

Own our data pipelines, including maintenance and adding new features.
Take charge of data integrity and completeness, including writing and maintaining tests.
Improve process efficiency and optimize runtime performance.
Own schema design and evolution across our data pipelines.