ML Researcher

The role

Develop learning methods that turn repeated assays into better scientific decisions. Research models that combine molecular information, formulation, dose, assay metadata, video-derived behavior, and laboratory context.

What you will do

• Research models that combine molecular information, formulation and dose, assay metadata, video-derived behavior, and laboratory context
• Develop active-learning and sequential experiment-selection methods
• Define retrospective and prospective evaluations
• Investigate which behavioral signals generalize across experiments
• Translate model failures into new labels, assay variants, controls, or experiments
• Communicate results with enough precision for experimental scientists to understand

Required qualifications

• Ph.D. or equivalent research record in machine learning, statistics, computational science, or a closely related field
• Demonstrated ability to formulate open-ended research questions, build strong baselines, and design evaluations that survive distribution shift
• Strong software skills in Python and a modern machine-learning framework
• Experience working with noisy, limited, multimodal, or experimentally generated datasets
• Ability to move between theory, implementation, and scientific interpretation

Nice to have

• Experience with active learning, Bayesian optimization, reinforcement learning, causal inference, or scientific foundation models
• Experience in molecular discovery, biology, animal behavior, robotics, or another domain where models learn from physical experiments
• Track record of prospective validation rather than benchmark-only research
• Strong research taste and comfort abandoning an attractive idea when the evidence does not support it

About the company

monarchcrops offers opportunities to do your life’s work while helping solve one of the most important technical and moral challenges of our time.