Amazon
Applied Scientist, Neuron ARG, Annapurna ML
$143K–$222K
Seattle, WA +1 · Full-time · Posted Sep 5, 2026
- Location
- Seattle, WA
Cupertino, CA - Experience
- 4+ years with a Master's degree; alternatively, a PhD is listed.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
About the job
Develop and deploy analyzers and tooling for deep-learning compiler stages and intermediate representations, advancing program analysis and compiler quality for ML workloads on AWS Neuron.
What you'll do
- Design, develop, and deploy analyzers for ML compiler stages and compiler IRs.
- Architect and implement business-critical tooling; publish research.
- Collaborate with scientists and engineers and mentor team members.
What they ask for
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language.
- Experience in at least one of: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- PhD in computer science, computer engineering, or a related field.
- Background in machine learning and AI accelerators.
Pay
171,600.00 - 222,200.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, PyTorch, JAX, Trainium
AI focus
Applies artificial intelligence and program analysis to deep-learning compilers and ML workloads; works with AI accelerators.
Model-written summary · the original posting is authoritative