Dgn Technologies Inc.

Software Engineer - Machine Learning III

Mountain View, California, USA · Mid · third party, contract

Sponsorship not specifiedDetected 47 days ago

PythonMachine LearningTensorFlowPyTorchNLPLLMsAgentic AIMLOpsA/B TestingCybersecurityElectrical EngineeringAR/VRResearch

About the role

A core part of the role is post-training these models with RLHF, DPO, and related optimization techniques to push detection accuracy and false-positive rates beyond what off-the-shelf solutions provide.
Curate and generate adversarial training data: direct and indirect prompt injections, jailbreaks, tool-use exploits, and unsafe-output cases drawn from red-teaming and production signals.

Design and train prompt injection detection models and prompt safety classifiers that operate on both inputs to and outputs from Samsung's agentic AI systems.
Build evaluation harnesses that measure attack success rate, false-positive rate, latency, and on-device footprint across model iterations and threat categories.

Familiarity with prompt injection, jailbreak, and agentic AI threat models, and with distributed training frameworks (DeepSpeed, FSDP, Accelerate).
Experience with red-teaming, adversarial data generation, or automated attack pipelines (e.g.,

Experience with red-teaming, adversarial data generation, or automated attack pipelines (e.g., GCG, Skills: PAIR, generator-critic frameworks).
Experience with on-device or edge ML deployment (ExecuTorch, Core ML, TFLite, MLC-LLM, vendor NPU toolchains) and model compression (quantization, distillation, pruning) for safety models.
Publications at top-tier ML/NLP/security venues (NeurIPS, ICML, ICLR, ACL, EMNLP, USENIX Security, IEEE S&P), patents, or open-source contributions in the safety, alignment, or AI security space.
direct and indirect prompt injections, jailbreaks, tool-use exploits, and unsafe-output cases drawn from red-teaming and production signals.
Work cross-functionally with security researchers, modeling teams, and product engineers
or B.S. with equivalent industry experience.
3+ years of industry experience in ML engineering or applied AI research, with demonstrated ownership of production ML systems.
2+ years of industry experience in software engineering.

PAIR, generator-critic frameworks).
Keywords: Education: Skills and Experience: Required
MACHINE LEARNING ENGINEERING APPLIED AI RESEARCH SOFTWARE ENGINEERING PYTHON PYTORCH Additional

This listing is sourced directly from Dgn Technologies Inc.'s careers page and normalized into a canonical job model.