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POSITION OVERVIEW

The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization. This role demands expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. This role will be responsible for the development and deployment of innovative AI solutions, ensuring their alignment with business objectives while fostering collaboration across multidisciplinary teams. A strong emphasis is placed on problem-solving, efficiency enhancement, and maintaining the reliability and scalability of AI systems to deliver exceptional results.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor’s Degree.
• Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
• Demonstrated understanding of ethical considerations in AI systems.
• 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
• Advanced 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.

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-TA21

Salary Range:
$147,000.00 - $250,000.00
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.
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.
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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.
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Include, but are not limited to, the following:

• Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
• Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
• Partner on the execution 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.
• Complete the development and deployment of AI models and algorithms to solve complex problems.
• Stay updated on advancements in AI research and technology to guide initiatives.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Coach, support, and provide mentorship for team members.
• Champion ethical AI practices and ensure compliance with regulatory standards.
• Address issues related to data privacy, security, and biases in AI systems.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.