Applied Scientist: Conversational AI & LLM Systems

Amazon; San Francisco (CA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Comprehensive health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking an Applied Scientist in San Francisco to work on next-gen conversational AI with Alexa+. This role demands deep expertise in LLMs and offers the chance to lead groundbreaking technical initiatives that impact millions.

The successful candidate will require extensive knowledge in programming, distributed training, and machine learning, along with qualifications such as a Master’s degree in relevant fields. Join us in shaping the future of conversational technology!

Qualifications

• 3+ years of programming experience.
• 1+ year of experience with distributed training frameworks.
• Solid ML background, familiar with NLU and LLM training.

Responsibilities

• Improve efficiency of LLM training and evaluation pipelines.
• Design and implement fine-tuning and alignment approaches.
• Architect agentic systems for multi-step reasoning.

Skills

Programming in Java, C++, Python

Distributed training frameworks (VeRL, Megatron, etc.)

Machine learning tools (PyTorch, TensorFlow)

Natural Language Understanding (NLU)

Natural Language Generation (NLG)

Education

Master's degree or above in Computer Science, Machine Learning, or Engineering

Tools

PyTorch

TensorFlow

Job description

Amazon is seeking an Applied Scientist in San Francisco to work on next-gen conversational AI with Alexa+. This role demands deep expertise in LLMs and offers the chance to lead groundbreaking technical initiatives that impact millions.

The successful candidate will require extensive knowledge in programming, distributed training, and machine learning, along with qualifications such as a Master’s degree in relevant fields. Join us in shaping the future of conversational technology!