Senior Staff Applied Scientist, AI/ML

Sr. Staff Applied Scientist

Kinaxis is seeking a talented and passionate Sr. Staff Applied Scientist to join our Machine Learning team. Your work will directly impact our enterprise-grade AI/ML software solutions, which are used by hundreds of customers worldwide to manage their supply chains.

What you will do

You will operate as a lead scientist, defining the long-term technical strategy and scientific vision for critical business domains. Your primary focus will be on solving the most ambiguous, high-impact, and multi-quarter research challenges, translating them into foundational machine learning solutions that unlock next-generation product capabilities; crucially, this role spans multiple AI/ML domains (e.g., natural language processing, deep learning, forecasting) and you will be a major contributor collaborating closely across several different product and engineering teams. You are responsible for setting up the bar, defining the organization-wide standards for model robustness, reproducibility, and rigorous evaluation methodology, while also ensuring the highest standards of software engineering excellence, leveraging your fluency in Python, object-oriented design, and deep proficiency in modern cloud environments to develop and prototype complex, scalable core ML services that deliver significant business impact.

You are expected to maintain deep expertise and familiarity with the end-to-end AI/ML solution development lifecycle and the underlying infrastructure. Success in this role requires leveraging this knowledge to provide critical architectural review and recommendation to Platform Architects, MLOps, and DevOps Engineers. You will proactively identify potential flaws or risks in deployment and design that could compromise the integrity or scalability of ML solutions, thereby influencing the production roadmap based on scientific needs. You act as a primary mentor and technical advisor for junior and senior ML developers and peers, proactively resolving organizational and technical impediments that span across multiple teams (Science, Engineering, and Product) to advance the overall technical direction of the entire ML organization.

What We Are Looking For

• Advanced AI/ML Expertise
• Mathematical and Statistical Acumen
• Problem-Solving
• Lead and Execute POCs
• Generative AI & Deep Learning Expertise
• Cutting-Edge AI Tools
• End-to-End ML Software Development
• Cloud & Distributed Systems
• Solution Architecture and Delivery
• Scientific Leadership & Mentorship
• Technical Communication & Influence

Nice to Have

• Ph.D. in computer science.
• Manufacturing & Supply Chain Domain Knowledge: Experience in supply chain, retail, life sciences, planning, or optimization domains.
• Research & Publication Record: Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.

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, Unilever, P&G, ExxonMobil, Cisco 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 a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

• Flexible vacation and Kinaxis Days (company-wide days off)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs, training, and career development
• Recognition programs and referral rewards
• Hackathons