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Design and run experiments to evaluate model behavior, validate new ideas, and measure the effectiveness of protection techniques.

Build research prototypes and turn them into production-ready capabilities.

Work closely with Product and Engineering to translate research into scalable product features.

Stay current with advances in LLMs, foundation models, post-training techniques, AI security, and AI safety.

Contribute to the long-term technical direction of Onyx's AI security platform.

What you will bring
3+ years of experience in AI research, applied machine learning, or a related field.
Strong understanding of deep learning, neural networks, transformer architectures, and large language models.
Hands-on experience training, fine-tuning, evaluating, or post-training modern machine learning models.
Strong Python skills and experience with machine learning frameworks such as PyTorch.
Experience designing rigorous experiments and evaluating model performance.
Ability to translate research into production-ready systems.
Strong analytical thinking and excellent communication skills.

Experience with AI security, AI safety, adversarial machine learning, or robust machine learning.
Experience developing or evaluating autonomous AI agents, reasoning models, or agentic workflows.
Experience with supervised fine-tuning, model optimization, post-training techniques, or reinforcement learning.
Publications in leading AI conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, etc.) or impactful applied research in industry.
Experience deploying machine learning models into production and building scalable AI-powered products.

PythonPyTorchLLMAIDeep LearningReinforcement LearningTransformers