
Member of Technical Staff – Research – Model
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full-time
Posted on:
Location Type: Hybrid
Location: Paris • France
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Job Level
Tech Stack
About the role
- Develop and train advanced LLMs and VLMs, including multimodal architectures
- Research and implement training methods for enhanced capabilities like instruction following and tool use
- Design and optimize data pipelines and training systems for large-scale distributed training
- Collaborate with cross-functional teams to integrate models into agentic AI systems
- Evaluate model performance and communicate findings to stakeholders
- Stay current with advancements in LLMs, VLMs, and related fields
Requirements
- Strong programming skills (Python, Git)
- Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)
- Experience with large-scale distributed training of LLMs and VLMs
- Hands-on experience with LLM training, alignment, and reinforcement learning
- Knowledge of multimodal architectures and applications
- Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
- Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
- Excellent communication and presentation skills
- Strong collaboration and teamwork skills
- Passion for AI and problem-solving
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonGitPyTorchJAXTensorFlowlarge-scale distributed trainingLLM trainingalignmentreinforcement learningmultimodal architectures
Soft Skills
communication skillspresentation skillscollaborationteamworkproblem-solvingpassion for AI
Certifications
PhDMSc