Senior Applied Research Scientist in Bellevue, Washington | Advanced Micro Devices, Inc

Amd

Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WASan Jose, CA
Salary
$204,000–$204,000 / yr
Posted
138 days ago
Closes
Feb 26, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $204k
$139k most similar roles pay here $230k

This role pays more than 62% of similar roles. Most pay $170,000–$221,000 — the shaded band above. At the midpoint, this role pays about $204k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 64 open roles on FindRole.

Listed pay typically runs $190,000–$190,000 across 64 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Senior Applied Research Scientist in Bellevue, Washington | Advanced Micro Devices, Inc

We are seeking a Senior Applied Research Scientist to join our world-class research team dedicated to advancing large language models (LLMs) and large multimodal models (LMMs). In this role, you will focus on developing novel architectures and training techniques for LLMs/LMMs, enhancing their performance through fine-tuning and reinforcement learning (RL), and accelerating both training and inference processes. You will also contribute to the AMD AI platform by researching cutting-edge machine learning methods and publishing your findings in top-tier venues. Ideal candidates should have extensive experience with Python, ML frameworks like PyTorch or TensorFlow, distributed training, and transformer architecture, along with a strong publication record in leading conferences and journals. This position requires expertise in LLM/LMM pretraining and fine-tuning to address complex challenges in the field of AI research.

What you'll do

  • Train and fine-tune large language models and multimodal models.
  • Research and implement novel machine learning techniques and architectures.
  • Accelerate the training and inference speed of large models.
  • Publish research findings in top-tier academic venues.
  • Influence the direction of the AI platform through innovative solutions.
  • Keep abreast of advancements in LLMs/LMMs and foundation models.

What we're looking for

  • Experienced in training and fine-tuning large language models and multimodal models.
  • Proficient in developing and debugging with Python and ML frameworks like PyTorch or TensorFlow.
  • Expertise in distributed training techniques for machine learning models.
  • Strong background in transformer architecture and reinforcement learning.
  • Publication record in top-tier conferences and journals related to AI research.
  • PhD degree or equivalent in machine learning, computer science, or a related field.

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