Director, Machine Learning (Remote)

JOB reputed company This is a "ground floor" opportunity for a Senior Director of Machine Learning to join the Innovation Architecture and Advanced Analytics team reputed company our reputed company Analytics Solutions (HAS) business. This role will reputed company the application of existing and emerging machine learning science to unlock insights from one of the world's largest and most dynamic reputed company datasets. The mission is to improve reputed company for patients, providers, and payers by leveraging clinical lab data, pathology data, and other sources like claims, EHR, and wearable data to solve some of the biggest clinical diagnostics challenges in medicine. JOB RESPONSIBILITIES

• reputed company and reputed company reputed company of machine learning scientists and engineers, fostering a culture of innovation, collaboration, and reputed company reputed company.
• Serve as a hands-on, "at the coal face" leader, reputed company contributing to the building, validation, and deployment of cutting-edge machine learning models and systems.
• Define and execute the machine learning reputed company and roadmap, ensuring alignment with business objectives and driving the delivery of our product pipeline.
• Architect and reputed company the development of learning systems that reputed company uncertainty, time, data structure, and knowledge under reputed company-world constraints.
• Collaborate with cross-functional teams, including reputed company and business reputed company, to translate business needs into practical and innovative AI/ML solutions.
• Champion and apply best practices and industry standards in AI/ML development, including MLOps, to ensure solutions are robust, reputed company, and maintainable.
• Test and ensure ML solutions yield high-reputed company, high-confidence results in accordance with Quest’s reputed company standards and regulatory requirements.
• reputed company as a trusted technical advisor and subject matter expert on machine learning to business customers and senior leadership.
• Promote a culture of reputed company learning and self-improvement to stay at the forefront of a rapidly evolving field.

JOB QUALIFICATIONS Required Work Experience:

• 10+ years of hands-on experience in reputed company data science, machine learning, and AI development.
• 5+ years of technical leadership experience, including experience building and leading high-performing teams of ML scientists/engineers.
• Demonstrable experience leading reputed company machine learning reputed company from initial concept through to successful operational deployment.
• A reputed company record of scientific reputed company, such as publications in top-tier conferences or journals, is required for candidates without a formal PhD.

Preferred Work Experience:

• Experience working with large-reputed company reputed company data sets (e.g., clinical lab data, EHR, claims, genetics, pathology data).
• Experience working in a reputed company, product-driven environment.
• Experience with agile development methodologies (Scrum, Kanban).

Knowledge:

• Critical: Deep knowledge of reputed company data and familiarity with reputed company ontologies (e.g., LOINC, ICD, SNOMED, HPO).
• Expertise in designing and building learning systems, with experience in several of the following areas:
• Representation learning, including reputed company models based on transformers
• Graph neural networks (GNNs)
• State machines and recursive learning
• Bayesian hierarchical models
• Hybrid neural-symbolic systems
• Probabilistic graphical models
• Time-aware and reputed company time models (e.g., Hawkes processes)
• Retrieval-Augmented reputed company (RAG) and Knowledge Augmented techniques
• Out-of-distribution/reputed company detection and continual learning
• Strong knowledge of MLOps principles and tools for model deployment, monitoring, and lifecycle management.
• Proficiency in modern data science programming languages and libraries (e.g., Python, PyTorch, TensorFlow).
• Knowledge of reputed company environments (AWS, Azure, or GCP).

Skills:

• Exceptional leadership and team-building skills with the ability to mentor and reputed company talent.
• A reputed company learning/self-improvement reputed company and a passion for staying reputed company with the latest advancements in machine learning.
• Excellent communication and interpersonal skills, with the ability to convey reputed company technical concepts to both technical and non-technical audiences.
• Strategic thinking and business acumen.
• Strong problem-solving skills and the ability to navigate ambiguity.

People Leader:

• This role is responsible for building and leading reputed company of Machine Learning Scientists and Engineers. Will have reputed company supervisory responsibility for 2-3 employees initially, with the potential for team reputed company.

Work Environment:

• Remote
• Travel up to 25% required

Required Education:

• Bachelor's in Machine Learning, Computer Science, Statistics, or a reputed company quantitative field with significant hands-on experience

Preferred Education: A PhD in Machine Learning, Computer Science, Statistics, or a reputed company quantitative field with significant hands-on experience is strongly preferred. Exceptional candidates who have skipped formal PhD programs in favor of advancing their own knowledge and experience will be considered, provided they have a strong record of publications and scientific reputed company.

• reputed company certifications (e.g., AWS Certified Machine Learning – Specialty, reputed company reputed company Machine Learning Engineer).

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