Kinaxis · 3 months ago
Staff Software Developer, AI/ML
Kinaxis is a global leader in end-to-end supply chain management, committed to innovating and revolutionizing customer support. They are seeking a talented Machine Learning Staff Developer to contribute to their AI team, responsible for delivering machine learning solutions in supply chain management. The role involves end-to-end AI/ML software development, overseeing junior developers, and driving architecture and design of advanced ML systems.
AnalyticsAutomotiveEnterprise SoftwareInformation TechnologySoftwareSupply Chain Management
Responsibilities
Define, drive, design, and build/ship end-to-end solutions that solve real customer problems and create automated ML-based solutions
Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research and state-of-the-art results for customers
Drive architecture, design, and delivery of advanced ML systems 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 engage outside of team to unblock other team members while progressing their own technical assignments
Work well in a cross-functional team and contribute to discussions, providing readily available solutions while considering technical aspects, effort, and risk
Qualification
Required
Master's or Ph.D. in Computer Science or a related quantitative field with a deep specialization in artificial intelligence and machine learning
Proven 8+ years of experience in designing, 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
Ability to provide technical guidance, set research goals, and effectively mentor and upskill junior team members across teams
Exceptional verbal and written communication skills, with a proven ability to effectively influence and advocate complex technical solutions to both technical and non-technical stakeholders
Strong, hands-on experience with Natural Language Processing (NLP) and Large Language Models (LLMs), including fine-tuning, leading advanced model development, and comprehensive evaluation methodologies
Practical implementation and optimization expertise with various Deep Learning techniques and libraries (e.g., PyTorch, TensorFlow), covering network architectures, transformers, embeddings, regularization, optimization strategies, transfer learning, and knowledge distillation
In-depth familiarity and hands-on experience with the latest AI libraries, tools, and frameworks, such as Agentic AI, Retrieval Augmented Generation (RAG), prompt-engineering, and vector databases
Generate hypotheses, design and execute experiments, evaluate outcomes to drive go/no-go decisions, and build successful POCs into production-ready software that have a large strategic impact
Preferred
Experience in the manufacturing sector, particularly with supply chain knowledge
Strong theoretical foundation and practical experience 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 and statistics, and optimization
Experience with workflow orchestration tools like Argo Workflows
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.
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
Recent News
2026-01-11
Business Wire
2026-01-09
Company data provided by crunchbase