Foundation Models Scientist — Large-Scale ML

Amazon

Houston (TX)

On-site

USD 143,000 - 193,000

Full time

6 days ago

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Job summary

Amazon Web Services (AWS) is seeking a highly skilled ML/AI specialist in Houston to design, train, and optimize large foundation models. You will enhance efficiency, latency, and memory usage while supporting multi-step task execution and tool use.

Collaboration with teams to deploy models on AWS accelerators and GPUs will be essential, including research and evaluation for reliability. The role emphasizes cutting-edge ML practices, distributed training, and hardware-aware optimizations with

Qualifications

Strong background in machine learning, deep learning, transformers, and foundation models.
Experience with PyTorch, JAX, or similar frameworks.
Experience training, fine-tuning, or serving large-scale models.
Knowledge of GPU architecture, CUDA, Triton, custom kernels, or hardware-aware optimization.
Familiarity with distributed training and model parallelism.
Experience with AWS Trainium, Inferentia, Neuron SDK, TPUs, or other custom accelerators is preferred.
PhD in machine learning, computer science, electrical engineering, or a related field is preferred.

Responsibilities

Design, train, fine-tune, and evaluate custom foundation models.
Improve model efficiency, stability, latency, throughput, and memory usage.
Build models that support planning, tool use, memory, self-correction, and multi-step task execution.
Optimize training and inference using CUDA, Triton, custom GPU kernels, and tensor operations.
Profile and resolve compute, memory, communication, and distributed-training bottlenecks.
Work with GPUs and specialized AI accelerators, including AWS Trainium and other custom tensor hardware.
Develop evaluations for model reliability and long-horizon agent performance.