Sr. Machine Learning Engineer - Security Gen AI

San Jose, California, United States

A10 Networks

Security solutions, threat intelligence, infrastructure, and application delivery for enterprises and service providers for on-premises, multi cloud, and edge cloud.

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Sr. Machine Learning Engineer - Security Gen AI

Position Overview:  We are looking for a talented and experienced Deep Learning Engineer specializing in Large Language Models (LLMs) to join our dynamic team. In this role, you will play a pivotal part in enhancing the reliability, safety, and performance of AI models and systems. You will work closely with AI researchers and product teams to drive cutting-edge advancements in AI safety and responsible AI solutions.

 

Responsibilities:

  • Assist in designing and implementing end-to-end safety-focused frameworks for LLMs.

  • Develop and apply risk mitigation techniques, including safe inference strategies to ensure reliable AI behavior.

  • Identify vulnerabilities in AI systems and contribute to adversarial testing, bias detection, and mitigation strategies.

  • Collaborate with cross-functional teams to integrate safety mechanisms into AI workflows and pipelines.

  • Design and optimize LLM architectures to improve performance, scalability, and efficiency. 

  • Fine-tune pre-trained LLMs on domain-specific datasets to improve task performance.

  • Stay up to date with the latest research papers, techniques, and advancements in deep learning and related fields.

  • Strong software engineering and programming skills, and ability to quickly develop working prototypes from research ideas. 

 

Requirements:

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

  • 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.

  • Knowledge of distributed training techniques and experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

  • Excellent problem-solving skills and ability to work independently and in a team environment.

  • Strong communication and collaboration skills.

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* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰

Job stats:  4  1  0

Tags: AWS Azure Cloud Computer Science GCP LLMs Machine Learning Python Vulnerabilities

Region: North America
Country: United States

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