Machine Learning/Operations Research Platform Engineer

🔥 21 hours ago

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

💰 $33M Venture Round on 2000-05

Logistics • SaaS • Supply Chain Management

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• Investigate novel techniques combining class leading heuristics with optimization and ML • Translate real world Supply Chain Management use cases into mathematical models • Lead the design and implementation of mathematical models and ML systems • Define test strategies and develop comprehensive test plans • Write unit testing, integration testing, and debugging to ensure robust and error-free software • Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools • Collaborate closely with your agile team members and other stakeholders

🎯 Requirements

• MSc or PhD in Computer Science, Machine Learning, Operations Research, Engineering, or related field • 3+ year of software development experience, track record of delivering commercial software • Working knowledge of C++, including object-oriented design and design patterns, unit testing • Experience building and maintaining distributed services and frameworks in C++ and Python • Experience deploying and operating ML or optimization workloads in cloud or containerized environments • A love of data structures and algorithms, and the desire to apply them in the real world • Working knowledge of mathematical optimization and mixed-integer programming concepts • Familiarity with commercial optimization solvers (Gurobi, Xpress, CPLEX) and their application in production systems • Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code-quality standards • Ability to review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation • Familiarity with GPU-accelerated computing frameworks, distributed optimization systems, or high-performance computing environments is highly desirable

🏖️ Benefits

• 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