Machine Learning Research Intern (Causal)
- Oracle
- 0 to 4 Yrs
- All India
- 2 months ago
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Job Description
- Machine Learning Research Intern - Causal Inference and Discovery Focus About the Role We are seeking a talented Machine Learning Research Intern with strong interest and background in causal inference and discovery methods. This internship offers an exciting opportunity to work at the intersection of causal discovery, large language models (LLMs), and state-of-the-art causal estimation techniques. Responsibilities Design and implement causal discovery algorithms to identify causal relationships in complex datasets Explore the integration of causal inference methods with large language models Develop and test novel approaches for causal effect estimation using SOTA methods Conduct literature reviews to stay current with latest research in causal inference Implement and evaluate causal structure learning algorithms Design experiments to validate causal discovery techniques Collaborate with research scientists and other interns on interdisciplinary projects Document research findings and contribute to research publications Present work progress and findings in team meetings Contribute to open-source causal inference frameworks and tools Requirements Currently pursuing a Master's or PhD degree in Computer Science, Statistics, Machine Learning, or related field Strong foundation in causal inference, including graphical models and potential outcomes framework Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, etc.) Experience with causal discovery algorithms (PC, FCI, NOTEARS, etc.) Familiarity with causal effect estimation methods (doubly robust estimation, instrumental variables, etc.) Understanding of LLM architectures and capabilities Strong mathematical skills, particularly in probability, statistics, and linear algebra Experience implementing and evaluating ML algorithms Excellent analytical and problem-solving skills Good communication and documentation skills Preferred Qualifications Prior research experience or publications in causal inference or machine learning Experience with causal discovery frameworks (e.g., TETRAD, causallearn, dowhy) Knowledge of counterfactual reasoning and causal representation learning Familiarity with treatment effect estimation in observational studies Experience with causal inference in LLM contexts Knowledge of causal fairness and related ethical considerations Duration 6-month internship with possibility of extension based on performance Location Remote/Hybrid(Bangalore),
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning Research Intern (Causal)Contact Details:
Company: Anonimo InteractiveLocation(s): All India+ View Contact
Keyskills: Causal Inference Machine Learning Python Graphical Models Probability Statistics Linear Algebra Research Communication Documentation
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