Applied Scientist, Machine Learning Accelerator
Core
Research and prototype AI/ML applications (Agentic AI, LLM, deep learning) to solve strategic business problems for the Selling Partner Experience (SPX) domains, including trust and safety, recruitment, growth, and support.
Role type
Senior Applied Scientist (Machine Learning Accelerator)
Builds
Large-scale algorithmic systems and end-to-end business solutions for high-impact projects in SPX.
Domain
E-commerce / Seller Experience / Trust & Safety / Generative AI
Deliverable
production ML models
Required skills
PhD or Master's + 4+ years in CS/CE/ML, 3+ years building ML models/algorithms, patents or top-tier publications, Java/C++/Python programming, algorithms/data structures, numerical optimization, parallel/distributed computing, LLM fundamentals (architecture, training/inference, optimization), GPU/Neuron/TPU deployment
Preferred skills
Unix/Linux, deep learning architecture design, model pruning, LLM fine-tuning/in-context learning, RL post-training pipelines (PPO/GRPO/DPO), agentic AI systems (tool use, planning, RAG), neuro-symbolic solutions
Technologies
Java, C++, Python, GPUs, Neuron, TPU
Responsibilities
Research and prototype AI/ML applications, collaborate with engineers to design/implement solutions at scale, develop large-scale solutions for high-impact projects, introduce tools/techniques, influence technical strategy, mentor junior members, participate in hiring
Seniority
Senior, hands-on IC with mentorship responsibilities