Machine Learning Engineer (PhD or MS in Computer Science) 756

Protegrity is seeking a Machine Learning Engineer with a PhD or MS in Computer Science and experience in GenAI to work on securing AI workflows and building agentic tools. The role involves developing GenAI architectures, fine-tuning LLMs, and applying ML algorithms to large datasets in a collaborative environment.

• Develop and test GenAI architectures using agentic coding IDEs.
• Conduct experiments and summarize findings.
• Present research and experimental results to the team.
• Fine-tune LLMs and embedding models.
• Apply ML algorithms to large datasets.
• Process structured and unstructured data.
• Participate in architectural design and roadmap discussions.

• PhD or MS in Computer Science.
• 2+ years GenAI experience or equivalent projects.
• 3–5 years Python experience.
• Experience with PyTorch, TensorFlow.
• Solid understanding of ML algorithms and metrics.
• Exposure to data security practices.
• Strong collaboration and learning mindset.