Member of technical staff - Research - Environment and data

H Company; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading technology firm in France is seeking a Member of Technical Staff in Data Research. You will build and scale data pipelines, develop state-of-the-art multimodal models, and innovate training techniques. Ideal candidates hold an MSc or PhD in relevant fields and possess advanced Python expertise. This role requires strong teamwork and communication skills, as well as a passion for research and development in a dynamic environment.

Qualifications

• Background in training and deploying large multimodal models.
• Experience developing and maintaining multimodal data pipelines.
• Deep understanding of training and evaluation paradigms for multimodal models.

Responsabilités

• Build and scale data pipelines to create high-quality datasets.
• Innovate training techniques for efficiency and stability.
• Develop state-of-the-art multimodal models.
• Design evaluation frameworks for measuring progress.

Connaissances

Research direction independence

Teamwork

Ownership and challenge acceptance

Open to learning

Advanced Python expertise

Strong communication skills

Formation

MSc or PhD in machine learning or related field

Description du poste

Member of Technical Staff – Data Research

About the Team

The Data Research team advances multimodal intelligence, building large-scale models that operate across diverse input spaces. We combine pioneering research, efficient engineering, and large-scale training to push the boundaries of computer-use models.

Key Responsibilities

• Build and scale data pipelines to create high-quality datasets that improve adaptability and reasoning
• Innovate training techniques that strengthen efficiency, stability, and performance across modalities
• Develop state-of-the-art multimodal models that power intelligent agents
• Design evaluation frameworks that capture edge cases and measure progress across domains

Candidate Profile

• Demonstrated ability to propose and carry out research directions independently
• Strong sense of teamwork, contributing across a variety of tasks that move the group forward
• Seeking ownership, embracing challenges, and openness to learning

Qualifications

• Background in training and deploying large multimodal models
• Experience developing and maintaining multimodal data pipelines (vision, audio, video, etc.)
• Advanced Python expertise across system design, parallel computing, and large-scale deployments
• MSc or PhD in machine learning, computer vision, natural language processing, or a related field
• Deep understanding of training and evaluation paradigms for multimodal models
• Strong communication skills and effectiveness in fast-changing environments