Simulation Engineer

Posted 9 Hours Ago
Be an Early Applicant
New York, NY, USA
In-Office
Mid level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Turn simulation research into production: productionize core simulation loop, design reusable agent/population abstractions, build evaluation and accuracy infrastructure, optimize simulations for scale, collaborate with researchers on hybrid LLM+classical architectures, enable deployment tooling, and produce analysis and publication layers for clients.
Summary Generated by Built In
ABOUT AARU

Aaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners work with us for many reasons: they leverage Aaru to refine strategy in volatile geopolitical climates, cut new product innovation timelines from months to minutes, and deploy marketing campaigns that win in an era where consumers have never been harder to understand. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time.

We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together.

ABOUT THE ROLE

Simulation Engineering owns the path from research idea to production system. Researchers prove out how to synthesize an audience, model a world, predict responses, score accuracy, or ship a result; you turn those ideas into robust, reusable, fast code — the objects, contracts, evaluations, and workflows that produce the product.

RESPONSIBILITIES
  • Productionize the core simulation loop — audience generation, world modeling, response prediction.

  • Design the reusable abstractions that the product is made of: agent and population objects, simulation contracts and interfaces, evaluation harnesses, etc.

  • Build and own evaluation and accuracy infrastructure.

  • Make simulations fast and cheap enough to run at scale.

  • Partner closely with Simulation Research to harden hybrid LLM + classical architectures.

  • Build the workflows and tooling that let deployment and forward-deployed teams stand up new client simulations.

  • Create the calculation, analysis, and publication layers that turn raw agent output into the decision-ready artifacts customers see.

  • Hold the line on engineering quality across a fast-moving codebase.

 
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

  • Have direct experience with simulation, agent-based modeling, Monte Carlo methods, or other modeling-and-prediction systems.

  • Have experience with hybrid architectures that combine LLMs with classical statistical or ML methods.

  • Have background in a quantitative or data-heavy domains — quant finance, computational social science, ad measurement, forecasting, statistics, or psychometrics.

  • A research sensibility: comfort reading papers, prototyping alongside researchers, and contributing to or co-authoring published work.

LOCATION

This 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.

BENEFITS

At 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.

Skills Required

  • Deep expertise in ML and AI with prior production work using Large Language Models
  • Designed and run rigorous ML experiments from hypothesis to evaluation to deployment
  • 3+ years hands-on experience building ML/AI systems (research or applied)
  • Comfortable across full model lifecycle: data collection, training, evaluation, and production integration
  • Experience working cross-functionally with engineering and product teams to ship ML-powered features
  • Willingness to work in-person in New York City full time (5 days/week); located in or open to relocation to NYC metro
  • Publications at top ML venues (NeurIPS, ICML, ICLR, ACL)
  • Experience building or fine-tuning multi-agent systems or agent-based modeling
  • Experience with probabilistic modeling, Bayesian inference, causal reasoning, or Monte Carlo methods
  • Experience with hybrid architectures combining LLMs and classical statistical/ML methods
  • Background in quantitative or data-heavy domains (quant finance, computational social science, forecasting, psychometrics)
  • Research sensibility: comfort reading papers, prototyping with researchers, and contributing to published work
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
44 Employees

What We Do

Aaru is an AI company dedicated to rethinking the science of prediction by using simulation software based on a multi-agent approach. The company recreates the world to simulate entire populations, providing highly accurate predictive intelligence for decision-making. By replacing traditional surveys with AI-driven simulations of human behavior, Aaru helps operators across various industries generate analysis, segmentation, and strategic pathways to achieve decision dominance.

Similar Jobs

Luma AI Logo Luma AI

Simulation Researcher/Engineer

Artificial Intelligence • Software
Remote or Hybrid
13 Locations
246 Employees
250K-450K Annually

General Motors Logo General Motors

AV Safety Engineering Analytics Simulation Engineer (GPSSC)

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Remote or Hybrid
United States
165000 Employees

Evolved Aerospace Logo Evolved Aerospace

Simulation Engineer

Aerospace • Defense • Manufacturing
In-Office
2 Locations
26 Employees
Hybrid
2 Locations
56 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account