Senior Applied Scientist, Next-Gen LLMs

Amazon

Sunnyvale (CA)

On-site

USD 192,000 - 260,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off

Job summary

Amazon.com Services LLC in Sunnyvale, CA is seeking an Applied Scientist to build and evaluate state-of-the-art ML models powering large language models and conversational AI used by hundreds of millions of customers. This role combines hands-on research with engineering excellence to ship reliable, responsible AI at Amazon scale.

You will design, develop, and evaluate models using large-scale data and modern DL frameworks, collaborating with world-class scientists and engineers to move ideas

Qualifications

  • 3+ years building ML models for business applications.
  • Strong background in ML and NLP.
  • Ability to translate research into production systems.

Responsibilities

  • Design, implement, and evaluate ML and DL models for NLU, generation, and conversational AI.
  • Develop scalable training and evaluation pipelines for large language models.
  • Collaborate with scientists, engineers, and product teams to productionize research.
  • Conduct rigorous experiments, analyze results, and iterate to improve quality and safety.
  • Stay current with research and contribute novel ideas to the team.
  • Champion responsible AI practices including fairness and robustness.

Skills

ML experience
Deep learning
Research ability

Education

PhD, or Master's with 6+ years applied research

Tools

Java
C++
Python
Spark
Hadoop
TensorFlow
scikit-learn

Job description

Amazon.com Services LLC in Sunnyvale, CA is seeking an Applied Scientist to build and evaluate state-of-the-art ML models powering large language models and conversational AI used by hundreds of millions of customers. This role combines hands-on research with engineering excellence to ship reliable, responsible AI at Amazon scale.

You will design, develop, and evaluate models using large-scale data and modern DL frameworks, collaborating with world-class scientists and engineers to move ideas

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