Sr. Applied Scientist (AI)

TL;DR

Sr. Applied Scientist (hirify.global Transportation): Build machine learning and optimization models for pricing and revenue management in external freight business with an accent on novel forecasting, dynamic pricing, causal inference, and artificial intelligence techniques. Focus on developing scalable products across transportation modes, prototyping learning algorithms, and integrating models into production systems for real-time execution.

Location: GBR, London (onsite)

Company

hirify.global’s Middle Mile Science group develops optimization and machine learning systems powering the freight transportation network, from network design and pricing to real-time load planning and capacity utilization.

What you will do

• Design and build scalable machine learning and optimization models for pricing, revenue management, forecasting, and dynamic pricing in the freight marketplace.
• Apply causal inference and AI techniques to improve marketplace services and execution for shippers and carriers.
• Create experiments and prototype new learning algorithms and prediction techniques.
• Collaborate with business leaders, engineers, scientists to implement models in production systems.
• Present research findings to top leadership and make decisions affecting algorithm integration across the product portfolio.

Requirements

• Location: GBR, London
• 5+ years building ML models or algorithms for business applications
• PhD in engineering, technology, CS, ML, robotics, operations research, statistics, math or equivalent, or Master's + 10+ years industry/academic research
• Programming experience in Java, C++, Python or similar
• CS fundamentals: object-oriented design, data structures, algorithm design, problem solving, complexity analysis

Nice to have

• Experience with deep learning frameworks like MxNet, TensorFlow
• Peer-reviewed publications in top journals/conferences
• Hands-on with reinforcement learning or dynamic programming
• AWS technologies experience
• Causal inference or experimental design in large-scale systems

Culture & Benefits

• Inclusive culture empowering diverse workforce to deliver best results for customers.
• Workplace accommodations for disabilities during application, hiring, and onboarding.
• Focus on innovation in transportation algorithms with huge business impact.