Applied Scientist, AGI Customization & Personalization

Amazon; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading tech company is seeking an experienced Applied Scientist to join its AGI Customization Team in San Francisco. This role focuses on developing innovative services and tools for model customization using techniques such as supervised fine-tuning and reinforcement learning. The ideal candidate will have extensive experience in machine learning, proficiency in programming languages, and a strong background in algorithms and data structures. This position offers the opportunity to work on cutting-edge AI technology within a collaborative environment.

Qualifications

• 3+ years of building models for business applications.
• PhD or Master’s degree with 4+ years of CS/CE/ML or related experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience with state-of-the-art deep learning model architecture design and training.

Responsibilities

• Develop novel customization techniques for model optimization.
• Collaborate with teams to implement tooling on Amazon SageMaker.
• Design experiments to optimize model accuracy and costs.
• Develop evaluation frameworks for model performance assessment.

Skills

Building machine learning models

Java

C++

Python

Algorithms and data structures

Numerical optimization

Data mining

Parallel computing

Deep learning

Education

PhD or Master’s degree in CS/CE/ML or related experience

Tools

MXNet

TensorFlow

Caffe

PyTorch

Job description

A leading tech company is seeking an experienced Applied Scientist to join its AGI Customization Team in San Francisco. This role focuses on developing innovative services and tools for model customization using techniques such as supervised fine-tuning and reinforcement learning. The ideal candidate will have extensive experience in machine learning, proficiency in programming languages, and a strong background in algorithms and data structures. This position offers the opportunity to work on cutting-edge AI technology within a collaborative environment.