AI Research Scientist – Get A Job.ai AI Research (DAIR)

Responsibilities

Our talent team is representing a confidential cloud observability platform in their search for an AI Research Scientist based in Paris. In this role, you will:

• Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability use cases
• Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
• Design and build simulated environments and reinforcement learning training loops for on-policy agent training and evaluation
• Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into production systems
• Stay at the forefront of foundation models, world models, and RL-based agent research
• Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks

What We're Looking For

Required Qualifications:

• PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or equivalent experience)
• Extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
• Track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
• Familiarity with efficient training, post-training, and inference techniques for large foundation models
• Ability to explain complex models and research findings to both technical and non-technical audiences

Preferred Qualifications:

• Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
• Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• Experience writing production data pipelines and applications
• Hands-on experience with GPU programming and optimization, including CUDA

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and career goals. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through Get A Job.ai to ensure a professional and coordinated process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to providing equal employment opportunity to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other characteristics protected by law.