Generative AI Engineer (PhD / PhD Candidate)

Oncogen.AI Inc is an AI startup dedicated to revolutionizing cancer care and research workflow through agentic AI. They are seeking a highly skilled Generative AI Engineer to design and optimize generative AI models for scholarly use cases.

Responsibilities:

• Design, develop, and optimize generative AI models tailored for scholarly and research-oriented use cases
• Preprocess, analyze, and curate domain-specific datasets to support high-quality model performance
• Integrate generative AI models into our agentic AI platform, enabling intelligent, autonomous workflows
• Collaborate closely with data scientists, engineers, and cross-functional teams to drive innovation across multiple AI-powered solutions
• Contribute to experimentation, evaluation, and iteration of models to ensure robustness, scalability, and academic relevance

Requirements:

• PhD in Computer Science, AI, Machine Learning, or a related field, or currently enrolled as a PhD student
• Strong background in generative models (e.g., LLMs, diffusion models, multimodal models)
• Experience with data preprocessing, dataset curation, and model evaluation
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)
• Ability to work independently in a remote, research-driven environment
• Strong communication skills and interest in scholar-focused AI applications
• Publications in top-tier conferences or journals
• Experience with agentic AI systems, tool use, or multi-agent architectures
• Familiarity with academic or research workflows and knowledge systems