Associate Director, Artificial Intelligence

5505 Endeavor Lane, United States

Exact Sciences

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At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

The Associate Director for Artificial Intelligence (AI) serves as a key leader in driving innovation, strategy, and application of AI technologies within the organization. This position requires a dynamic individual with expertise in AI, machine learning, deep learning, and related domains, who can integrate cutting-edge technological solutions into the company's workflows, products, and strategic goals. Flexibility and adaptability are key to managing AI initiatives within a dynamic, fast-paced environment.

This role is based in Madison, WI.

Essential Duties

include but are not limited to the following:

  • Lead in operationalizing the strategic direction for ML, NLP, LLM, and algorithm development within a world-class AI ML team, working closely with well-renowned experts in AI/ML modeling, ML engineering, data science, and data engineering.

  • Identify opportunities to leverage AI technologies to improve efficiency, productivity, and innovation.

  • Work across AI and ML team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, and UAT.

  • Collaborate closely with business stakeholders, data scientist, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.

  • Responsible for the partnering on the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.

  • Oversee the development and deployment of AI models and algorithms to solve complex problems.

  • Ensure the robustness, scalability, and performance of AI systems and solutions.

  • Stay updated on advancements in AI research and technology to guide initiatives.

  • Supervise a team of data scientists, machine learning engineers, and AI specialists.

  • Foster a culture of innovation, collaboration, and continuous learning within the team.

  • Coach, support, and provide mentorship for team members.

  • Ensure stakeholder needs are met through effective communication and collaboration.

  • Promote understanding of AI capabilities and limitations across the organization.

  • Champion ethical AI practices and ensure compliance with regulatory standards.

  • Address issues related to data privacy, security, and biases in AI systems.

  • Develop policies that promote transparency and accountability in AI applications.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred.

  • 8+ years of experience in AI and related domains, with a proven track record of leading AI projects.

  • Experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, and computer vision solutions.

  • 4+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).

  • 2+ experience in managing AI teams and cross-functional initiatives.

  • Expert ability working with machine learning frameworks, programming languages like Python, and cloud platforms.

  • Strong analytical and problem-solving skills with expertise in AI/ML techniques.

  • Excellent leadership and communication skills to guide teams and align goals.

  • Ability to translate complex technical concepts into actionable business strategies.

Preferred Qualifications

  • Experience designing and deploying Gen AI solutions at scale.

  • Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation

  • Familiarity with human in the loop methods for aligning LLMs with human preferences, e.g: DPO

  • Familiarity with Agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

#LI-CB1

Salary Range:

$129,000.00 - $208,000.00

 

The annual base salary shown is for this position located in US - WI - Madison on a full-time basis. In addition, this position is bonus eligible, and is eligible to be considered for company stock at hire and on an annual basis.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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Tags: Agile Computer Science Computer Vision Deep Learning Engineering Generative AI LLMs Machine Learning ML models NLP Pipelines Privacy Python RAG Research Security Unstructured data

Perks/benefits: Career development Health care Medical leave Salary bonus Transparency Wellness

Region: North America
Country: United States

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