Staff Software Developer, Machine Learning
Staff Software Developer, Machine Learning
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Job Description
About Kinaxis
Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech but its really our people who give us passion to always seek ways to do things better. As such were 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 Canadas 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 worlds supply chains to help preserve the planets 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 40000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.
Location
our office in Ottawa Canada
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
Youre 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
- Bachelors 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 Agentic AI 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.
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists engineering teams and business audiences.
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)
Mandatory #s:
Seniority Level:Entry level - #EntryLevel #Fresher; Associate - #Associate; Mid-Senior level - #Intermediate #Senior; Director - #Director; Executive - #Executive #VP
Recruiter #: Each recruiter has an assigned hashtag. Where can you find yours plz follow the instructions on the Job Wrapping Playbook
Work With Impact: Our platform directly helps companies power the worlds supply chains. We see the results of what we do out in the world every daywhen 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 were 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
Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates including those with specific needs or disabilities. If you require an accommodation please reach out to us at Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.
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.
Required Experience:
Staff IC
Employment Type
Full-Time
