Amazon
Senior Applied Scientist, AWS Neuron Science - Core Algorithm
$192K–$260K
Cupertino, CA · Senior · Full-time · Posted Oct 6, 2026
- Experience
- 6+ years of applied research experience with a Master's degree; alternatively, a PhD. Also requires 3+ years building machine-learning models for business applications.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Researches and productionizes hardware-aware machine-learning algorithms for AWS Trainium and Inferentia, coordinating model and algorithm decisions with custom-silicon teams.
What you'll do
- Lead research and experimentation through production, evaluating complex problems at scale.
- Develop production-quality ML code and integrate it into large-scale training and inference systems.
- Collaborate across foundation-model, engineering, and hardware teams; mentor colleagues and publish research.
What they ask for
- PhD, or Master's degree and 6+ years of applied research experience.
- Experience programming in Java, C++, Python, or a related language.
- 3+ years of experience building machine-learning models for business applications.
- Experience with neural deep-learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
192,200.00 - 260,000.00 USD annually (base salary)
Tools
Trainium, Inferentia, PyTorch, JAX, Java, C++, Python, NKI
AI focus
Hardware-aware machine learning for LLMs and foundation models, including low-precision training and inference, hardware-friendly architectures, distributed optimizers, accuracy validation, and RL post-training for NKI kernel generation.
Model-written summary · the original posting is authoritative