Takeoff41, Inc. · 2 days ago
Deep Learning Researcher
United States
Full-time
Remote
Mid, Senior LevelTakeoff41, Inc. is transforming neonatal nutrition therapy through clinically validated AI. The role involves developing AI systems to improve treatment strategies for critically ill newborns, requiring collaboration with various teams and expertise in causal inference and machine learning.
Computer Software
Responsibilities
Design causal inference frameworks for treatment effect estimation from observational clinical data (confounding, time-varying treatments, censoring)
Develop RL models for safe, deployable treatment policies
Build dynamic treatment regime models optimizing sequential decisions across multi-week patient trajectories
Own data pipelines, feature engineering, and model training on multi-site datasets
Publish in top venues
Qualification
Required
Must reside within the United States (visa sponsorship is available for qualified candidates)
MS or PhD in ML, Statistics, CS, or related quantitative field; Bachelor's with significant research or development experience in industry or academia also considered
First-author publications at top venues (NeurIPS, ICML, ICLR, AISTATS, UAI, JMLR, or clinical AI venues)
Strong Python; fluency with PyTorch or Tensorflow
Experience with time-series data
Preferred
Experience in causal inference, RL, sequential decision-making, or dynamic treatment regimes
Healthcare data experience (EHR, longitudinal clinical records)
Prior work on treatment effect heterogeneity or counterfactual prediction
Production ML/MLOps experience
Company
Takeoff41, Inc.
2-10 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase