Director, Machine Learning (Remote)

JOB DESCRIPTION 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 professional growth.
• Serve as a hands-on, "at the coal face" leader, actively contributing to the building, validation, and deployment of cutting-edge machine learning models and systems.
• Define and execute the machine learning strategy 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 integrate uncertainty, time, data structure, and knowledge under reputed company-world constraints.
• Collaborate with cross-functional teams, including reputed company and business units, 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, scalable, and maintainable.
• Test and ensure ML solutions yield high-quality, high-confidence results in accordance with Quest’s quality standards and regulatory requirements.
• Act 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 applied 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 projects from initial concept through to successful operational deployment.
• A track record of scientific output, such as publications in top-tier conferences or journals, is required for candidates without a formal PhD.

Preferred Work Experience:

• Experience working with large-scale 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 direct supervisory responsibility for 2-3 employees initially, with the potential for team growth.

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 output.

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

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