Machine Learning Jobs in Cambridge, WI (NOW HIRING)

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At Exact Sciences, we're helpingchange 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

Exact Sciences is seeking an AI co-op intern to support our efforts in developing and applying artificial intelligence technologies to drive innovation and efficiency across the organization. The AI Intern will collaborate with data scientists, engineers, and cross-functional teams to research, prototype, and implement AI solutions-including machine learning (ML), deep learning (DL), and generative AI models-that enhance decision-making and business processes.

This 6 month co-op internship offers an exceptional opportunity to gain hands-on experience in applied AI development within the biotech industry and to contribute to projects that have a meaningful impact on patient outcomes and healthcare advancement.

Essential Duties

• Assist in the development, training, and evaluation of AI and machine learning models, including natural language processing (NLP), computer vision, and generative AI applications.

• Support the integration of AI models into production environments, including data pipelines and APIs.

• Conduct data analysis, cleaning, and preparation to support model development and evaluation.

• Participate in AI research and literature review, identifying emerging techniques applicable to Exact Sciences' initiatives.

• Visualize data and model outputs, communicating insights to both technical and non-technical audiences.

• Collaborate in Agile development cycles, contributing to iterative improvement of AI-driven products.

• Document methodologies, experiments, and results to ensure reproducibility and transparency.

• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.

• Support and comply with the company's Quality Management System (QMS) policies and procedures.

• Maintain regular and reliable attendance.

• Demonstrate an inclusion mindset and model these behaviors across the organization

Minimum Qualifications

• Current student enrolled toward a degree in Computer Science, Artificial Intelligence, Data Science, or related field (Graduate level degree program preferred).

• Demonstrated proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Understanding of machine learning fundamentals, including supervised and unsupervised learning.

• Legal authorization to work in the country of employment without current or future sponsorship.

Preferred Qualifications

• Experience with natural language processing (NLP), computer vision, or generative AI (e.g., large language models, diffusion models).

• Working knowledge of SQL and data engineering tools (e.g., Spark, Pandas). Experience with cloud platforms (AWS, GCP, or Azure) and version control tools (Git).

• Familiarity with MLOps concepts, model evaluation metrics, and responsible AI principles

Salary Range:

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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