Senior Principal Data Scientist (Fulfilment)
Core
Lead the shift toward automated marketplace optimization by building autonomous, learning-driven systems for pricing, dispatch, and supply management.
Role type
Senior Principal individual contributor data scientist (RL & LLM)
Builds
Real-time distributed ML systems for supply allocation, pricing, and order matching
Domain
Marketplace technology, Reinforcement Learning, Large Language Models
Deliverable
production ML models
Required skills
PhD in CS/OR/Mathematics, Reinforcement Learning fundamentals, Production ML/RL system development, World models and sequential modelling, LLM fine-tuning and alignment, Evaluation frameworks for generative models, Distributed training frameworks, Python and ML frameworks, Scalable computing platforms
Preferred skills
None stated
Technologies
PyTorch, TensorFlow, DeepSpeed, FSDP, Megatron-LM, Spark, Ray, LoRA, QLoRA, PEFT, RLHF, DPO, GRPO
Responsibilities
Design and implement end-to-end RL systems combining model-based RL, offline RL, simulation, and online learning; Build latent world models and marketplace state representations; Develop systems optimizing pricing, dispatching, and supply repositioning; Create policy evaluation frameworks and monitoring systems; Fine-tune open-source LLMs on domain-specific data; Design training strategies for language models; Integrate RL and LLM systems into real-time production environments
Seniority
Senior Principal, technical lead with mentorship
