Job Title: Director of Machine Learning
Company: Confidential Healthcare Start-up
Location: Remote (with some travel required)
Funding Stage: Series C ($200M raised)
About the Company:
We are partnering with the Founder and CEO of an innovative healthcare start-up that has recently raised $200M in Series C funding. The company is revolutionizing the healthcare industry with a cutting-edge Generative AI Platform designed to significantly enhance revenue cycles for healthcare providers. With a strong emphasis on AI, NLP, and LLMs, the company is on a mission to modernize and streamline processes in healthcare.
Position Overview:
We are seeking an experienced Director of Machine Learning to lead a growing team of applied researchers and engineers. This role will play a key part in developing and deploying innovative AI solutions at scale, driving the company’s mission forward. You will oversee the entire machine learning lifecycle, from concept to deployment, and provide strategic direction to deliver impactful solutions.
The ideal candidate will bring a deep understanding of NLP, LLMs, and Generative AI technologies, along with a strong background in healthcare-related AI applications. If you are passionate about driving change through AI and want to be at the forefront of healthcare transformation, this is an exceptional opportunity.
Key Responsibilities:
- Lead and manage the machine learning team to build state-of-the-art AI models, focusing on NLP and LLMs for healthcare use cases.
- Design and implement innovative proof-of-concepts (POCs) that solve real-world challenges in healthcare, specifically around revenue cycle management.
- Develop, train, and fine-tune ML models, ensuring scalability and robustness in real-world applications.
- Work closely with engineering teams to deploy models at scale across enterprise-level systems, ensuring high performance and reliability.
- Collaborate with leadership, product, and technical teams to align ML strategy with business goals and provide actionable insights.
- Maintain cutting-edge knowledge of advancements in AI, particularly in Generative AI, NLP, and LLMs, and apply them to drive innovation within the organization.
- Implement best practices in ML and data science, ensuring ethical AI use and data privacy.
- Provide leadership and mentorship to junior team members, fostering a culture of innovation, collaboration, and excellence.
Qualifications:
- 10+ years of experience in Machine Learning, with a focus on NLP, LLMs, and Generative AI.
- Proven experience in healthcare or related industries is strongly preferred.
- Strong background in applied research and engineering, with a demonstrated ability to lead projects from R&D to deployment.
- Experience in large-scale system deployment of AI models in enterprise settings.
- Expertise in building and optimizing POCs, with hands-on experience in training and fine-tuning AI models.
- Advanced proficiency in Python, TensorFlow, PyTorch, and other relevant ML frameworks and libraries.
- Knowledge of the healthcare domain, including the regulatory landscape (e.g., HIPAA) and data privacy standards.
- A PhD in Computer Science, Data Science, Machine Learning, or a related field is highly preferred.
- Exceptional communication and leadership skills, with the ability to present complex ideas to both technical and non-technical audiences.