Machine Learning Scientist

Machine Learning Scientist to develop, tune, and advance Delfi's machine learning models for early cancer detection. The role involves improving model performance through structured experimentation, creative modeling strategies, and rigorous benchmarking.

Requirements

• PhD in Computer Science, Machine Learning, Computational Biology, Applied Mathematics, or a related field
• 2 or more years of relevant industry or post-doctorate experience
• Experience developing and evaluating ML models in applied or collaborative research settings
• Proficiency in Python, including use of ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Experience applying MLOps best practices for experiment tracking, model versioning, or data pipeline reproducibility
• Demonstrated success improving model performance through experimentation, architecture design, or advanced optimization methods
• Familiarity with large language models (LLMs), including APIs, frameworks, and fine-tuning methods
• Strong grounding in statistics, data analysis, and reproducible experimentation
• Excellent communication skills and the ability to collaborate effectively across scientific and technical disciplines

Benefits

• Total Compensation at DELFI is a combination of salary, bonus, equity, and benefits
• An Equal Opportunity Employer