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Lead Engineer Artificial Intelligence

A healthcare company focused on preventing, detecting, and guiding treatment for cancer through innovative solutions.
Madison, WI, USA
$147,000 - $250,000
Machine Learning
Staff Software Engineer
Remote
4+ years of experience
AI · Healthcare

Description For Lead Engineer Artificial Intelligence

Exact Sciences, a pioneering healthcare company dedicated to revolutionizing cancer prevention, detection, and treatment guidance, is seeking a Lead Engineer in Artificial Intelligence. This role represents a unique opportunity to leverage cutting-edge AI technology in making a meaningful impact on healthcare outcomes.

The position combines technical leadership with strategic vision, requiring expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. The successful candidate will be responsible for driving AI initiatives that directly contribute to the company's mission of changing lives through innovative cancer detection solutions.

The role demands a blend of technical expertise and leadership skills, with responsibilities ranging from hands-on development of AI solutions to mentoring team members and ensuring ethical AI practices. You'll work with state-of-the-art technologies and frameworks, particularly in areas such as LLMs, model distillation, and human-in-the-loop methods.

The compensation package is highly competitive, ranging from $147,000 to $250,000 annually, with additional benefits including bonus eligibility, equity considerations, comprehensive healthcare coverage, and work-life balance provisions. The position offers the flexibility of remote work while being part of a purpose-driven organization.

This is an ideal opportunity for an experienced AI engineer who wants to apply their expertise in a meaningful way, working on solutions that directly impact patient care and cancer detection. The role offers significant growth potential and the chance to work with a collaborative team dedicated to pushing the boundaries of AI applications in healthcare.

The company culture emphasizes innovation, continuous learning, and ethical AI development, making it an excellent environment for professional growth. You'll be part of a team that values diversity of thought and experience, working in an inclusive environment that supports both personal and professional development.

Last updated 5 days ago

Responsibilities For Lead Engineer Artificial Intelligence

  • Lead the execution of ML, NLP, LLM deliverables in support of AI strategies
  • Collaborate with data scientists and engineers to integrate ML models into production
  • Partner on execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing
  • Develop and deploy AI models and algorithms
  • Stay updated on AI research and technology advancements
  • Provide mentorship for team members
  • Champion ethical AI practices and ensure regulatory compliance
  • Address data privacy, security, and bias issues

Requirements For Lead Engineer Artificial Intelligence

Python
  • Bachelor's degree in Computer Science, AI, Data Science, or related field (or High School Diploma with 4+ years experience)
  • Expertise in designing and deploying cutting-edge AI solutions
  • Understanding of ethical considerations in AI systems
  • 3+ years of project leadership experience including Agile and SAFE
  • Advanced ability with machine learning frameworks and Python
  • Strong analytical and problem-solving skills
  • Experience with Gen AI solutions at scale (preferred)
  • Experience with LLMs, model distillation, and human-in-the-loop methods (preferred)

Benefits For Lead Engineer Artificial Intelligence

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Paid time off (vacation, holidays, volunteering, personal time)
  • Paid leave for parents and caregivers
  • Retirement savings plan
  • Wellness support
  • Health benefits including medical, prescription drug, dental, and vision coverage
  • Annual bonus eligibility
  • Company stock consideration

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