ABOUT THE ROLEAs a member of the AI/ML engineering team, you'll directly shape the core simulation systems powering critical predictions for global enterprises. The AI/ML team owns the accuracy and intelligence of Aaru's simulation engine - from synthetic population generation to response estimation. You'll work on designing, training, and evaluating the models that allow us to simulate human behavior with near-perfect fidelity, collaborating closely with research, infrastructure, and product teams.
RESPONSIBILITIES- Design and implement training environments for language models used in simulation
- Build focused, high-quality evaluation frameworks for domain-specific prediction tasks
- Integrate classical ML approaches with deep learning architectures to improve simulation accuracy
- Develop and iterate on the core modules that power population-level predictions
- Create and train new models - and finetune existing ones - for accurate simulation of human decision-making across question types
- Collect, process, and leverage diverse data sources to improve the accuracy of synthetic populations
YOU MAY BE A FIT IF- You have deep expertise in ML and AI, with meaningful prior work using Large Language Models in production systems
- You've designed and run rigorous ML experiments, moving from hypothesis to evaluation to deployment
- You have 3+ years of hands-on experience building ML/AI systems (research or applied)
- You're comfortable working across the full model lifecycle: data collection, training, evaluation, and production integration
- You have experience working cross-functionally with engineering and product teams to ship ML-powered features
- You're deeply curious and motivated to push the boundaries of what simulation technology can do
STRONG CANDIDATES MAY ALSO- Have publications at top ML venues (NeurIPS, ICML, ICLR, ACL)
- Have experience building or fine-tuning multi-agent systems
- Have worked on probabilistic modeling, Bayesian inference, or causal reasoning
- Have familiarity with our stack or demonstrate the ability to learn unfamiliar technologies quickly
LOCATIONThis role is based in New York City. Aaru is an in-person company, working 5 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation.
BENEFITSAt Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.
