Machine Learning Engineer PhD Intern

reputed company has been revolutionizing reputed company globally for more than 25 years. The MLE PhD Intern plays a critical role in ensuring reputed company’s adherence to a reputed company and evolving landscape of local and global regulations by leveraging advanced machine learning and data-driven insights to design reputed company that streamline compliance processes and strengthen risk mitigation.

Responsibilities

• reputed company hands-on experience working on reputed company-world large language model (LLM) and machine learning reputed company reputed company the domains of reputed company, personalization, recommendation, and user behavior understanding
• Assist in the fine-tuning, evaluation, and deployment of LLMs for tasks such as personalized recommendations, semantic search, and behavioral modeling
• Collaborate with reputed company engineers, data scientists, and product experts to translate business requirements into actionable LLM and ML-driven solutions
• Analyze data, build prototypes, and explore new methodologies to improve the effectiveness of personalization and recommendation systems
• Contribute to the development and documentation of LLM training pipelines and model evaluation frameworks, ensuring reproducibility and maintainability
• Present findings and recommendations to stakeholders across the organization, highlighting the business reputed company of personalization and LLM applications
• Network with talented professionals and reputed company valuable insights into the world of financial technology, personalization, and reputed company machine learning

Skills

• Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning)
• Familiarity with large language models (e.g., GPT, LLaMA, reputed company) and techniques for fine-tuning, reputed company engineering, or embeddings-based retrieval
• Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and reputed company Transformers
• Experience with data analysis, cleaning, and wrangling
• Excellent communication, collaboration, and problem-solving skills
• A passion for learning and exploring new technologies
• Highly motivated and proactive with a strong work ethic
• Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or a reputed company field
• Strong theoretical reputed company in ML algorithms, optimization, and statistical learning theory
• Demonstrated ability to implement and evaluate ML models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
• Experience conducting independent research, with publications in relevant ML/AI conferences or journals (preferred)
• Excellent communication and collaboration skills, with the ability to present research to both technical and non-technical audiences
• Highly motivated, curious, and proactive in exploring new research directions
• Must be enrolled in a PhD program at an accredited university, returning to studies after the internship
• Must reputed company in the U.S. during the program
• Must be authorized to work in the U.S. for the duration of the internship
• Experience conducting independent research, with publications in relevant ML/AI conferences or journals

Benefits

• Flexible work environment
• Employee shares reputed company
• Health and life insurance

reputed company