Research Engineer Position in Time Series Systems

Inria; Paris; Hybride; EUR 42 000 - 56 000; Plein temps

Avantages offerts par ce poste

Teleworking available

Leave: 7 weeks + RTT + exceptional-lea

Transport reimbursement

Equipment provided

Social and cultural events

Résumé du poste

Inria, hosted at ENS Paris, is seeking a Research Engineer to support the development of prototypes for multivariate and streaming time series analysis within the Cybertéi-Demo project, in partnership with Scality.

You will collaborate with a Postdoctoral Researcher and the project team to implement novel algorithms, manage data pipelines, and validate research outcomes, contributing to scalable, reproducible systems and industry-aligned solutions.

Qualifications

• Master's degree (or equivalent) in Computer Science, Data Engineering, Data Science, or related field.
• Solid programming skills in Python, C++, or Java.
• Familiarity with time series management and analytics systems.
• Experience in systems development, benchmarking, or data engineering is a strong plus.

Responsabilités

• Design and implement efficient pipelines for ingesting and processing multivariate time series data.
• Build and maintain prototypes and experimental tools for time series indexing, querying, and anomaly detection.
• Collaborate on the integration of research outputs into scalable systems.
• Support reproducible research: code quality, documentation, and experiment tracking.
• Interface with industry partner Scality to align development with practical needs.

Connaissances

Python

C++

Java

Time series analytics

Systems development

Formation

Master's degree in Computer Science / Data Science / related field

Outils

Time series management tools

Description du poste

Level of qualifications required : Graduate degree or equivalent

Fonction : Temporary scientific engineer

Context

Main information

• Host Institution:Inria & ENS
• Duration:1 year

Position Overview

We are hiring aResearch Engineerto support the development and deployment of research prototypes and experimental platforms in the context ofmultivariate and streaming time seriesanalysis. This position is part of theCybertéi-Demo project, conducted in partnership withScality, and hosted atENS Parisin collaboration withInria.

Assignment

You will work closely with aPostdoctoral Researcherand the broader project team to implement novel algorithms, manage data pipelines, and contribute to the validation and benchmarking of research outcomes.

Main activities

• Design and implement efficient pipelines for ingesting and processing multivariate time series data
• Build and maintain prototypes and experimental tools for time series indexing, querying, and anomaly detection
• Collaborate on the integration of research outputs into scalable systems
• Support reproducible research: code quality, documentation, and experiment tracking
• Interface with industry partner Scality to align development with practical needs

Skills

• Master's degree (or equivalent experience) in Computer Science, Data Engineering, Data Science, or related field
• Solid programming skills (Python, C++, or Java)
• Familiarity with time series management and analytics systems
• Experience in systems development, benchmarking, or data engineering is a strong plus

Benefits package

• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Theme/Domain :Data and Knowledge Representation and Processing
  Software engineering(BAP E)

Instruction to apply

Defence Security :
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.

Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.

Inria, the French national institute for research in digital science and technology, supports the French government in national research and innovation strategies in the digital field, acting as Digital Programs Agency. Inria leads over 300 research and innovation projects with its 3,500 scientists, engineers, and support staff, in partnership with universities and the digital ecosystem (businesses, entrepreneurs, and public stakeholders). Together, we explore strategic fields such as artificial intelligence, cybersecurity, quantum computing, cloud technologies, digital transformation in healthcare, digital twins, and digital technologies for defence. We develop practical solutions such as software, tech startups, partnerships with national companies, and cutting-edge training programmes. Our goal is to drive scientific, technological, and industrial excellence to ensure France’s digital sovereignty.