Research Scientist, Machine Learning
Paris, France, France • Posted July 01, 2026
Job Type:
Full-time
Location:
Paris, France
Posted:
July 01, 2026
Category:
other-general
Application Deadline:
July 06, 2026
Role Description
**Summary:**
Meta is seeking a Research Scientist to join its AI research organization, focused on advancing core machine learning methods that power Meta's products and platforms at scale. In this role, you will conduct applied and foundational ML research with an emphasis on Reinforcement Learning and Large Language Models (LLMs), contributing to systems that serve billions of users. You will collaborate with a multidisciplinary team of researchers and engineers to translate research insights into measurable product impact.
**Required Skills:**
Research Scientist, Machine Learning Responsibilities:
1. Design and execute machine learning research experiments, including model architecture design, training recipe development, and rigorous evaluation across benchmarks and production metrics
2. Develop and optimize ML models and algorithms targeting core research problems such as representation learning, generative modeling, or large-scale optimization
3. Implement c...
Meta is seeking a Research Scientist to join its AI research organization, focused on advancing core machine learning methods that power Meta's products and platforms at scale. In this role, you will conduct applied and foundational ML research with an emphasis on Reinforcement Learning and Large Language Models (LLMs), contributing to systems that serve billions of users. You will collaborate with a multidisciplinary team of researchers and engineers to translate research insights into measurable product impact.
**Required Skills:**
Research Scientist, Machine Learning Responsibilities:
1. Design and execute machine learning research experiments, including model architecture design, training recipe development, and rigorous evaluation across benchmarks and production metrics
2. Develop and optimize ML models and algorithms targeting core research problems such as representation learning, generative modeling, or large-scale optimization
3. Implement c...
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