A10 Networks, Inc · 6 hours ago
Deep Learning Intern — LLM Research & Model Safety
A10 Networks, Inc is seeking a Deep Learning Intern focused on advancing Large Language Model research with an emphasis on safety and alignment. The intern will investigate model behavior, collaborate with researchers, and contribute to the development of robust AI systems during a 12-week on-site internship.
Cloud ComputingHardwareSecuritySEOVirtualizationWeb Hosting
Responsibilities
Research and prototype methods to improve safety, interpretability, and reliability of LLMs
Fine-tune pre-trained LLMs on curated datasets for task adaptation and behavioral control
Design evaluation frameworks to measure robustness, alignment, and harmful output rates
Conduct adversarial and red-teaming experiments to uncover weaknesses in model responses
Collaborate with engineering teams to integrate findings into production inference systems
Explore and experiment with multimodal model extensions, including VLMs and audio-based models
Stay up-to-date with the latest research on model alignment, parameter-efficient tuning, and safety benchmarks
Qualification
Required
Currently enrolled in a Bachelor's, Master's, or PhD program in Computer Engineering or a related field in the U.S. for the full duration of the internship
Graduation expected between December 2026 – June 2027
Available for 12 weeks between May–August 2026 or June–September 2026
Preferred
Strong programming skills in Python and experience with deep learning frameworks (PyTorch or TensorFlow)
Understanding of transformer architectures, attention mechanisms, and scaling laws
Experience or coursework in LLM fine-tuning, LoRA/QLoRA, or instruction-tuning methods
Familiarity with evaluation datasets and safety benchmarks (e.g., HELM, TruthfulQA, JailbreakBench)
Interest in AI safety, interpretability, or bias detection
Exposure to Vision-Language Models (VLMs), speech/audio models, or multimodal architectures is a plus
Ability to implement research ideas into working prototypes efficiently
Benefits
Hands-on experience in LLM and multimodal model research, focusing on safety and performance
Exposure to fine-tuning, red-teaming, and evaluation of frontier AI models
Mentorship from experts working at the intersection of deep learning research and AI safety engineering
Opportunities to publish internal studies or papers and contribute to real-world model safety initiatives
Company
A10 Networks, Inc
A10 Networks provides security and infrastructure solutions for on-premises, hybrid cloud, and edge-cloud environments.
Funding
Current Stage
Public CompanyTotal Funding
$371.8MKey Investors
Silicon Valley BankSummit PartnersMitsui Global Investment
2025-03-12Post Ipo Debt· $193.8M
2016-12-02Post Ipo Debt· $25M
2014-03-21IPO
Leadership Team
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