Senior LLM Safety & Reliability Engineer

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

Job summary

A10 Networks, Inc. is seeking a talented Deep Learning Engineer specializing in Large Language Models (LLMs) to enhance AI model performance and safety. You'll collaborate with AI researchers to drive advancements in AI safety.

The ideal candidate will have a degree in Computer Science or related field, proven experience with LLMs, and strong programming skills in Python. Targeted compensation is between $110,000 - $145,000 based on qualifications and market factors.

Qualifications

• Proven experience in developing and deploying Large Language Models (LLMs), with a focus on architectures such as GPT, BERT, and their variants.
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
• Excellent problem‑solving skills and ability to work independently and in a team environment.

Responsibilities

• Assist in designing and implementing end‑to‑end safety‑focused frameworks for LLMs.
• Develop and apply risk mitigation techniques for reliable AI behavior.
• Identify vulnerabilities in AI systems and contribute to adversarial testing.

Skills

Deep Learning

Large Language Models (LLMs)

Python

TensorFlow

PyTorch

Distributed Training Techniques

Cloud Computing

Education

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field

Job description

A10 Networks, Inc. is seeking a talented Deep Learning Engineer specializing in Large Language Models (LLMs) to enhance AI model performance and safety. You'll collaborate with AI researchers to drive advancements in AI safety.

The ideal candidate will have a degree in Computer Science or related field, proven experience with LLMs, and strong programming skills in Python. Targeted compensation is between $110,000 - $145,000 based on qualifications and market factors.