Staff Software Developer, Machine Learning

About Kinaxis

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.  

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

If located in Ottawa, Canada - Hybrid

All other Canadian locations - Remote

About The Team

The AI team is responsible for delivering machine learning solutions in the supply and demand space for verticals such as Retail, Consumer Packaged Goods, Life Sciences etc. This includes problems in the space of forecasting, optimization, replenishment, recommendation, explainability, and more. The uniqueness of the team is that it performs at the intersection of technology and real business problems. You will contribute to the product that delights customers world-wide!

Kinaxis is seeking a talented and passionate Machine Learning Staff Developer to join our cutting-edge Generative AI development team. As a Staff Developer in the Product R&D team, you will work at the forefront of shaping the future of artificial intelligence leveraging the Generative AI. Your work will directly impact our enterprise-grade AI software platform and solutions, which are used by hundreds of customers worldwide to manage their supply chains.

What you will do

• All aspects of the machine learning development life cycle are familiar to you. You are passionate about shipping large-scale software systems in a fast-paced environment, but you can balance longer term issues such as maintainability, scalability and quality.
• You’re fluent in Python object-oriented development and in the cloud. In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies. You have the ability and enthusiasm to learn new technologies whether they are infrastructure or language or platform, and easily adapt to change.
• You will define, drive, design, and build end-to-end AI solutions that not only solve real customer problems but also create automated ML-based solutions specifically tailored for building a cutting-edge application leveraging LLM to orchestrate our customers’ supply chains, including architectural design, relevant design documentation, test planning and execution.
• You will contribute to the end-to-end AI software development lifecycle, ensuring reproducible research and state of the art results for our customers.
• You will operate as a technical leader in the Product R&D team . Oversee the work of junior developers and actively engage team members to develop their skills and build shared ownership across the code base. Proactively engages outside of team to unblock other team members while progressing their own technical assignments.
• You are a team player, a quick starter and a problem solver, as well as comfortable talking requirements with product managers. You work well in a cross-functional team and can listen and contribute to discussions. Ideally provide readily available solutions while considering technical aspects, effort, and risk.
  
  

What we are looking for

• Bachelor’s degree or equivalent in Computer Science or a related field with focus in machine learning.
• Strong software engineering skills with a minimum of 5 years’ experience in ML enterprise software development.
• Strong knowledge of NLP, Large Language Models (LLM), RAG, fine-tuning and LLM model development and evaluation.
• Familiarity with the latest open-source libraries, tools, and frameworks in AI and GenAI, such as LangChain, agents, vector databases, etc.
• Familiarity with Deep Learning techniques such as network architectures, transformers, embeddings, regularizations, optimization strategies, transfer learning, distillation, etc.
• Strong understanding of machine learning algorithms and relational data with experience writing, debugging and optimizing ML data structures, pipelines and transformations, with Python/Pandas/SQL
• Ability to work in Linux environments and in the cloud with containerization technologies (Docker, Kubernetes, Argo, Helm).
• Proven understanding and experience of distributed computing architectures.
• Disciplined approach to software testing including unit and integration test as well as CI/CD.
  
  

Nice To Have

• Retail business background with supply chain knowledge
• Strong mathematical background in linear algebra, probability and statistics, calculus, and optimization
• Solid background in Machine Learning fundamentals, statistical methods for ML, Bayesian methods, parametric and non-parametric methods, variational inference, generative models, stochastic processes, model explainability, etc.
• SaaS, and multi-tenant platforms development experience (microservice frameworks, queuing systems, event-based processing and web services).
• Experience working with major cloud technologies (AWS, Azure, and GCP)
  
  

#Senior

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 Lockheed Martin, Yamaha, P&G, Honda, 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 [email protected] . 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.