PerkinElmer

Machine Learning Engineering Co-op (Woodbridge, Ca...

Job description

The Company

PerkinElmer is a global analytical services and solutions provider with offerings including the leading OneSource Field and Laboratory services business that serve the biopharma, food, environmental, safety and applied end markets to accelerate scientific outcomes. Since 1937, PerkinElmer has served as a trusted partner in laboratory analysis and management and today complements its service offerings with a broad portfolio of atomic spectroscopy, molecular spectroscopy, and chromatography instruments, consumables, and reagents. With a dedicated team of more than 5,000 team members, the Company serves customers in more than 35 countries. Additional information is available at www.perkinelmer.com

Location: Summer Co-Op On site in Woodbridge, Canada

Purpose

The intern will join the AI team, which research and develops machine learning based solutions. The purpose is to strengthen the team in its daily operations as well as provide insights and innovate functionality for PoC (Proof-of-Concept) or shorted development projects.

A secondary purpose is also for the student to learn and get hands on experience working with our company.

Responsibilities

  • Work with AI model development
  • Adhere to our Kanban development process
  • Drive small to medium sized work items, by direction of manager or another full-time engineer
  • Attend internal meetings with our stakeholders and other teams.
  • Being able to work in remote location, with the occasional onsite visit to our office in Woodbrige

Basic Qualifications

  • Ongoing Computer Science, Mathematics, Physics or equivalent university program
  • Well versed in Python programming, including data science related libraries like Numpy and Pandas, Scikit, Sklearn
  • Previous hands-on experience with machine learning, such as working with TensorFlow, Keras, PyTorch, Theanos or similar
  • Previous experience with Git or GitHub software versioning system

Preferred Characteristics

  • Forward thinking and innovative
  • Willing to perform presentations, for a smaller audience
  • Ideally a genuine interest in machine learning and AI
  • Previous experience related to Generative AI (image generation, LLM, Chatbots) is a plus

PerkinElmer is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics protected by applicable law. PerkinElmer is committed to a culturally diverse workforce.

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