Senior LLM Safety & Performance Engineer

A10 Networks, Inc; San Francisco (CA); On-site; USD 110,000 - 145,000; Full time

Job summary

A leading tech firm in San Francisco is seeking a Deep Learning Engineer to enhance the reliability and performance of AI models. The role focuses on developing safety mechanisms in Large Language Models and collaborating with cross-functional teams to drive advancements in AI safety. Candidates should have a degree in Computer Science and expertise in Python and deep learning frameworks like TensorFlow or PyTorch. Targeted compensation is $110,000 - $145,000, depending on experience and skills.

Qualifications

• Experience in developing and deploying Large Language Models (LLMs) focusing on architectures like GPT and BERT.
• Strong programming skills in Python with deep learning frameworks.
• Experience with distributed training and cloud computing platforms.

Responsibilities

• Design and implement safety-focused frameworks for LLMs.
• Develop risk mitigation techniques for reliable AI behavior.
• Collaborate to integrate safety mechanisms in AI workflows.
• Optimize LLM architectures for performance and scalability.

Skills

Deep Learning

Python programming

Communication

Problem-solving

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

AWS

Azure

Google Cloud

Job description

A leading tech firm in San Francisco is seeking a Deep Learning Engineer to enhance the reliability and performance of AI models. The role focuses on developing safety mechanisms in Large Language Models and collaborating with cross-functional teams to drive advancements in AI safety. Candidates should have a degree in Computer Science and expertise in Python and deep learning frameworks like TensorFlow or PyTorch. Targeted compensation is $110,000 - $145,000, depending on experience and skills.