Truveta is looking to leverage Large Language Models (LLMs) and Generative AI to analyze clinical data, enabling researchers to find cures faster, empower clinicians, and help families make informed decisions about their care, ultimately aiming to save lives with data.
Requirements
- Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
- 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 Generative AI
- Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
- Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
- Experience with distributed parallel training, large-scale multi-modal foundation and generative models
- Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
Responsibilities
- Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
- Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
- Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal 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 next generation of innovation in trustworthy healthcare.
Other
- Highly motivated and talented Machine Learning PhD Intern
- Problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference.
- Candidates must be within 1 year of their graduation date from their PhD program.
- Strong communication skills and the ability to work effectively in a collaborative research environment
- Participation in the internship program requires that you are physically present in the United States for the duration of the internship.
