Member of technical staff - Research - Environment and data

H Company; Paris; Hybride; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading AI startup is seeking a Member of Technical Staff – Data Research in Paris. The ideal candidate will build and scale data pipelines, develop innovative training techniques, and design evaluation frameworks for state-of-the-art multimodal models. An MSc or PhD in a relevant field is required, along with strong Python skills. This hybrid role encourages independent research while collaborating with a diverse team. Competitive compensation and opportunities for professional growth are offered.

Prestations

Competitive salary

Career development opportunities

Work with world-class AI talent

Qualifications

• Proficient in training and deploying large multimodal models.
• Experience with multimodal data pipelines (vision, audio, video).
• Advanced knowledge in parallel computing and large-scale deployments.
• Deep understanding of evaluation paradigms for multimodal models.

Responsabilités

• Build and scale data pipelines for high-quality datasets.
• Innovate training techniques for improved model performance.
• Develop multimodal models for intelligent agents.
• Design evaluation frameworks for model progress measurement.

Connaissances

Research direction development

Teamwork

Ownership and challenge embracing

Communication skills

Formation

MSc or PhD in machine learning, computer vision, or related field

Outils

Python

Description du poste

Member of Technical Staff – Data Research

About H:

H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.

H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.

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

Location

• Paris or London.
• This role is hybrid, and you are expected to be in the office 3 days a week on average.
• Please expect some travel between offices on a reasonable cadence (e.g., every 4‑6 weeks).

What We Offer

• Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
• Collaborate with a fun, dynamic and multicultural team, working alongside world‑class AI talent in a highly collaborative environment
• Enjoy a competitive salary
• Unlock opportunities for professional growth, continuous learning, and career development

If you want to change the status quo in AI, join us.