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2 weeks ago
Cutting-edge research in machine learning fairness is conducted with our team.
Research FocusThis project addresses biases in machine learning algorithms that impact high-stake human-centric decisions. While fairness research has contributed to more equitable algorithms, understanding how various bias sources combine remains limited. We aim to disentangle ML bias into algorithmic and data bias, focusing on intersectional subgroups.
Key Responsibilities- Conduct research in machine learning fairness and develop techniques to analyze biases in ML.
- Apply developed techniques to real-world problems, particularly those impacting high-stake human-centric decisions.
- A PhD in machine learning, computer science, statistics, or applied mathematics.
- Experience in machine learning research, specifically in fairness and bias analysis.
- A dynamic team environment promoting collaboration and knowledge sharing.
- Opportunities for professional growth through projects aligned with your interests and expertise.
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Machine Learning Bias Researcher
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