Co-op/Intern Developer, Machine Learning

at  Kinaxis Inc

Remote, British Columbia, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate27 Dec, 2024Not Specified07 Oct, 2024N/AGood communication skillsNoNo
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Description:

ABOUT THE TEAM

Making new supply chain planning solutions possible with Machine Learning is what our fast-growing team of developers is all about. We build creative solutions that solve real business problems for our RapidResponse users without the need for them to become Machine Learning experts.
We are looking for a talented candidate to join our development team for a placement. It’s an opportunity for you to get real hands-on experience with Machine Learning software development and all the components needed to deploy it into a production system.
This is a full-time, 4 or 8-month position, starting January 2025.
About the role:

WHAT WE ARE LOOKING FOR

  • You are curious and passionate about applying Machine Learning to solve real problems
  • You’re always learning, trying out new ideas and experimenting with technology
  • You love to work in a team to learn from and to teach others
  • You like to develop new technology, business and people skills and you always welcome a challenge
  • You have some hands-on experience with ML through work terms or hackathons, competitions, etc.
  • You’ve completed 1+ year in a Computer Science or Engineering program
    We’re accepting applications now through end of day on Sep 27, 2024. All submissions will be reviewed during this time, as well as after the posting closes.

    Coop, #Internship, #Intern #LI-EN1

Why join Kinaxis?:
Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more.
Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more.
Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

  • Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs and training and career development
  • Recognition programs and referral rewards
  • Hackathons

For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.
Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

Responsibilities:

  • As a Co-op/Intern on the ML team you will be treated like a full-time developer and get to work on everything from tech selection to production code on our latest projects
  • You will be working with a mentor from whom you can learn and who will provide support and guidance
  • Your projects may include development of new product ideas as well as demos to executives and patent applications
  • You will have access to the training that you need and start to make an impact within a few weeks of joining the team
  • You will write python code for microservice architectures
  • May perform additional projects upon request


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Proficient

1

Remote, Canada