ML Postdoc Researcher - LLMs & Generative AI

Who We Need

We are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis.

Program Details

• Designed for candidates who have completed their PhD within the last two years and worked in their area of expertise since graduation as a postdoc, professor, or industry researcher/scientist.
• Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products.
• Program duration is a minimum of 3 months and a maximum of 12 months, with the opportunity to extend beyond the initially agreed term based on the company’s needs and the candidate’s desires.

This Opportunity

• Utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data.
• Work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company.
• Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
• 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.

Key Qualifications

• 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.
• Strong communication skills and the ability to work effectively in a collaborative research environment.

Preferred Qualifications

• 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.
• Familiarity with training multi-modal foundation models.
• Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments.
• A track record of publications and contributions to the machine learning and natural language processing communities.

Pay

The range for this position is $50-$60 per hour.