[Remote] ML PhD Intern - LLMs & reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the world’s first health provider led data platform with a reputed company of Saving Lives with Data. They are seeking a highly motivated Machine Learning PhD Intern to contribute to innovative reputed company in Large Language Modeling and clinical data analysis.

Responsibilities

• Collaborate with researchers and engineers to design, reputed company, and refine large language models and generative models for various applications
• Utilize your expertise in machine learning and natural language processing to reputed company novel algorithms and methodologies for generative modeling tasks
• Implement, train, and fine-tune LLM and GPT-like models on large-reputed company datasets to ensure reputed company performance and accuracy
• Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning
• Deliver the reputed company of innovation in trustworthy reputed company

Skills

• Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a reputed company field, with a reputed company on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal reputed company models, and reputed company
• Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and reputed company
• Solid programming skills in Python and the ability to write clean, efficient, and reputed company-documented reputed company
• Excellent problem-solving and troubleshooting abilities, along with a strong analytical reputed company and persistence in resolving problems
• Strong communication skills and the ability to work effectively in a reputed company research environment
• Experience with distributed reputed company training, large-reputed company multi-modal reputed company and generative models
• Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from reputed company Feedback (RLHF), and reputed company engineering techniques
• Familiarity with training multi-modal reputed company models
• Familiarity with reputed company-based infrastructure and experience deploying large-reputed company machine learning models in production environments
• A reputed company record of publications and contributions to the machine learning and natural language processing communities

Benefits

• Competitive compensation
• Company-issued laptop and equipment
• Opportunities for reputed company full-time positions

reputed company

Company H1B Sponsorship