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Machine Learning Engineer

Kitchener, Canada

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Responsibilities

Location Kitchener, OntarioCA Job ID JR-028385

DImagine a world where you could detect health issues sooner to treat them more effectively. Where food and water are always safe, even in remote corners of the earth. And where scientific and medical research are enhanced to solve the greatest challenges of our times. At PerkinElmer, we imagine this world every day. Then, we innovate and collaborate to make it happen everywhere.

Our dedicated team of about 16,000 employees worldwide, pioneers scientific technologies for better detection, imaging, and informatics to help our customers work to create healthier families, improve the quality of life, and sustain the well-being and longevity of people globally.

If you are seeking a meaningful, impactful, and stimulating career, look no further.

As a Machine Learning Developer, you will focus on working with a team of software engineers to develop software solutions applicable to a wide range of applications within the company, with a special focus on Artificial Intelligence (AI).

We are transforming our software offerings to improve accuracy, throughput, and overall customer experience. This means a simplified user interface, a streamlined workflow, and an extendable software base through vertical apps and add-ons with built-in machine learning capabilities. We spend most of our days doing the following:

1) Experimenting with advanced tech to automate workflows

2) Brainstorming solutions to reduce machine downtime

3) Building machine learning prediction models using advanced frameworks/libraries

4) Testing these models using our blazing fast NVIDIA DGX Station to solve interesting problems

5) Improving overall ease-of-use

6) Discovering new user experiences with our in-house UX/UI team

We are strategically located at the Tannery tech hub in downtown Kitchener, allowing you to easily interact with startups of all stages and other enterprise innovation labs to stay well-informed about advanced tech.

Basic Qualifications:

  • BS in Computer Science or Equivalent. New Graduates are highly encouraged to apply.
  • Experience with data science/ machine learning processes, tools, and recent developments
  • Experience with one or more general purpose programming languages including but not limited to: Python, C/C++, C#, Java, and JavaScript

Preferred Qualifications:

  • Familiar with Git version control system, web/mobile app dev, and prototyping boards (e.g., raspberry pi)
  • Involvement in full product cycle and software development using modern tech stack by building working prototypes and minimum viable products
  • Work closely with technical teams to build innovative software solutions
  • Contribute to all phases of the sprint process from conceptualization to delivery
  • Passionate, energetic, flexible self-starter, have an agile mindset, ready to jump with both feet into a small, loosely structured team
  • Team player, quick learner, and problem solver
  • Manage individual project priorities, deadlines and deliverables
  • Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations

#LI-TE

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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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“PerkinElmer has empowered and provided me the opportunity to learn and grow with the company. Every success is celebrated at PerkinElmer. I contribute every success to my supportive mentors and my team, the best that I have got in my entire corporate years. The sense of belongingness and respect for each other gave me a deeper meaning of what a family truly means. At PerkinElmer, I have found my family.”

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