Kinaxis · 2 months ago
Staff Applied Scientist, AI/ML
United States
Full-time
Remote
Lead/Staff
8+ years expKinaxis is a global leader in end-to-end supply chain management, seeking a talented and passionate Machine Learning Staff Applied Scientist to join their Machine Learning team. In this role, you will define technical strategies and solve high-impact research challenges, contributing to enterprise-grade AI/ML software solutions used worldwide.
AnalyticsAutomotiveEnterprise SoftwareInformation TechnologySoftwareSupply Chain Management
Responsibilities
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
Qualification
Required
Master's in computer science or a related quantitative field with strong theoretical foundation in advanced machine learning concepts, including statistical methods for ML, Bayesian methods, generative models, stochastic processes, and model explainability
Solid mathematical background in linear algebra, probability, statistics, and optimization
Exceptional ability to deconstruct vague or unstructured business goals into well-defined, actionable machine learning problems with clear success metrics
Generate hypotheses, design and execute experiments, evaluate outcomes to drive go/no-go decisions, and build successful POCs into production-ready software
Strong, hands-on expertise with Natural Language Processing (NLP), Deep Learning techniques, and Large Language Models (LLMs). This includes advanced model training, fine-tuning, architecture design, transformer, embedding, regularization, transfer learning, quantization, and knowledge distillation
Expertise and hands-on experience with the latest AI libraries, tools, and frameworks, such as AI Agents, RAG, prompt-engineering, and vector databases
Proven 8+ years of experience in developing, debugging, testing, and optimizing complex machine learning solutions using Python, Pandas, Spark, etc. Strong software engineering skills
Expertise in Linux, cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and distributed computing architectures
Experience collaborating closely with Platform Architects and MLOps Engineers to design, implement, and optimize the production architecture and deployment pipeline for machine learning solutions
Drive the technical research roadmap across multiple teams or domains, serving as a principal mentor and technical advisor who systematically defines development plans, upskills senior scientists, and sets the long-term scientific standard for the organization
Exceptional verbal and written communication skills, with a proven ability to effectively advocate complex technical solutions to both technical and non-technical stakeholders
Preferred
Ph.D. in computer science
Manufacturing & Supply Chain Domain Knowledge: Experience in the manufacturing sector, particularly with supply chain knowledge
Research & Publication Record: Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD
Benefits
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
Company
Kinaxis
Kinaxis is a leading provider of cloud-based subscription software.
1001-5000 employees
H1B Sponsorship
Kinaxis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (5)
2023 (9)
2022 (9)
2021 (4)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
$78.8MKey Investors
HarbourVest Partners
2014-11-25Post Ipo Secondary· $45.8M
2014-06-10IPO
2000-05-25Series Unknown· $33M
Leadership Team
Anthony Gallo
Vice President of Product Management, Platform Innovation
Gelu Ticala
Vice President Product Development
Recent News
Ottawa Business Journal
2026-01-12
2026-01-11
Business Wire
2026-01-09
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