Senior Director of Machine Learning

Los Altos, California

  Data Engineering



About Us:
We are a pioneering early-stage company dedicated to revolutionizing healthcare through cutting-edge technology. Our mission is to improve patient care and outcomes by leveraging the power of natural language processing (NLP) and large language models to analyze and extract insights from healthcare system data.

Job Description:
We are seeking a highly experienced and motivated Senior Director of Machine Learning with a strong background in NLP and Large Language Models to lead and drive innovation in our data analytics efforts. As a Senior Director, you will play a pivotal role in applying advanced machine learning techniques to derive valuable insights from healthcare system data, ultimately contributing to better patient care and healthcare system efficiency.


  1. Strategy and Vision:
    • Develop and execute a strategic roadmap for applying NLP and large language models to healthcare system data, aligning with our company’s objectives and goals.
  2. Leadership and Team Management:
    • Lead a team of machine learning engineers and data scientists, providing mentorship, guidance, and fostering a culture of continuous learning and innovation.
    • Collaborate with cross-functional teams to ensure successful integration of machine learning solutions within our healthtech platform.
  3. Machine Learning Algorithm Development:
    • Lead the research, development, and implementation of state-of-the-art NLP and large language models to extract meaningful insights and patterns from diverse healthcare system data sources.
    • Continuously improve and optimize algorithms for accuracy, efficiency, and scalability.
  4. Data Integration and Preprocessing:
    • Oversee data preprocessing and integration efforts to ensure high-quality and standardized data inputs for machine learning models.
    • Work closely with data engineering teams to access and manipulate large volumes of healthcare system data.
  5. Model Evaluation and Performance Optimization:
    • Establish robust evaluation frameworks to measure the performance and effectiveness of machine learning models, and iteratively optimize them for enhanced accuracy and relevance to healthcare applications.
  6. Regulatory Compliance and Security:
    • Collaborate with compliance and security teams to ensure adherence to healthcare industry regulations and data privacy requirements in the development and deployment of machine learning solutions.
  7. Partnerships and Collaborations:
    • Identify and forge strategic partnerships with academic institutions, research organizations, and industry stakeholders to leverage expertise and stay at the forefront of advancements in NLP and machine learning.


  • PhD or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.
  • Minimum of 5 years of experience in machine learning, with a focus on NLP and large language models.
  • Proven track record of leading successful machine learning projects, ideally in healthcare or related domains.
  • Strong programming skills in Python and experience with relevant ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • In-depth knowledge of NLP techniques, deep learning, and machine learning model architectures.
  • Familiarity with healthcare data standards, healthcare IT systems, and regulatory requirements (e.g., HIPAA).
  • Excellent communication, leadership, and team management skills.

If you are passionate about transforming healthcare through advanced machine learning techniques and leading a talented team in a dynamic and collaborative startup environment, we invite you to apply for this exciting opportunity as our Senior Director of Machine Learning.