Lead Generative AI Engineer

1 week ago

Waltham, Massachusetts, United States Madrigal Pharmaceuticals Corporation Full time
Job Overview

As a Principal Engineer specializing in Generative AI at Madrigal Pharmaceuticals, you will play a pivotal role in harnessing cutting-edge AI technologies to foster innovation in the pharmaceutical sector. Your focus will be on crafting business-oriented solutions that showcase the potential of Large Language Models (LLMs) and steering the development of our Generative AI strategy.


Key Responsibilities:
  • Strategic Leadership:
    • Design and oversee the Generative AI strategy.
    • Pinpoint essential business challenges that can be addressed through Generative AI.
    • Formulate and execute strategies for integrating Generative AI into the business framework.
    • Facilitate peer discussions and utilize analytical skills to positively impact decision-making.
  • Architectural Design:
    • Determine the appropriate complexity of LLMs for various applications.
    • Establish technical standards and frameworks for Generative AI implementations.
    • Lead efforts in prompt engineering to enhance LLM efficiency.
    • Rapidly prototype and evaluate LLM applications to improve user experiences.
  • Data Science and Machine Learning:
    • Possess a robust theoretical foundation and extensive experience in machine learning, deep learning, and statistical analysis.
    • Lead initiatives in fine-tuning LLMs and developing Retrieval-Augmented Generation (RAG) systems.
    • Create and implement automated processes for predictive model validation and deployment.
    • Contribute to the AI/ML infrastructure, including Feature Stores and Model Stores, to maximize LLM utility.
    • Engage in discussions on emerging methodologies in machine learning.
  • Collaborative Engagement:
    • Partner with cross-disciplinary teams, including data scientists and research experts, to deliver features incrementally.
    • Guide both internal and external developers in executing the Generative AI strategy.
    • Collaborate with subject matter experts across various business domains.
    • Educate both technical and business stakeholders on Generative AI applications.
  • Innovation and Continuous Learning:
    • Exhibit a blend of business acumen, analytical prowess, and programming expertise to swiftly navigate project discovery phases.
    • Communicate findings effectively through structured reporting and presentations.
    • Stay abreast of advancements in LLMs and apply insights to business contexts.
Qualifications:
  • Advanced degree (Ph.D. preferred) in Engineering, Data Science, Applied Mathematics, or a related quantitative discipline.
  • Over 10 years of experience with programming languages such as Python, SQL, R, and MATLAB.
  • At least 8 years of hands-on experience in machine learning and deep learning, including LLM fine-tuning.
  • Extensive experience in data visualization and dashboard creation using Python and R tools.
  • Proficient in data manipulation and complex query writing.
  • Experience implementing AI/ML systems on platforms like Databricks.
  • Strong understanding of cloud data technologies (e.g., AWS, Azure) for scalable analytics solutions.
  • Proven track record in machine learning and software engineering best practices.
  • Ability to articulate research findings through documentation and presentations.
  • Fluency in English.
Compensation:

The base salary is influenced by various factors, including qualifications, skills, education, experience, and market conditions. The position may also offer bonuses, equity, and a comprehensive benefits package, including flexible paid time off, medical, dental, vision, and life insurance.

Madrigal is an Equal Opportunity Employer. All employment decisions are based on qualifications and business needs, without regard to race, ethnicity, gender, or other protected characteristics.

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