Research Engineer jobs in United States

Explore 56 matching jobs.

Mecka

Research Engineer – Simulation, World Models

Mecka

Posted: 10/19/2026
PythonC++
Mecka

Research Engineer, RL Env

Mecka

Posted: 10/19/2026
Deepgram

Research Engineer – Post-Training

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Posted: 10/19/2026
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DatologyAI

Research Engineer

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Research Engineer – Inference

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Research Engineer – RL Infrastructure

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Posted: 10/16/2026
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Research Engineer / Scientist – Reinforcement Learning

Prime Intellect

Posted: 10/16/2026
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Research Engineer – Pretraining Data

Prime Intellect

Posted: 10/16/2026
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Research Engineer – Pretraining

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Framatome

AI and Software Innovation Engineer IV

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Posted: 10/16/2026
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U.S. Bank

AI Data Innovation Engineer

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Posted: 10/14/2026
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Biometric Imaging Innovation Engineer

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Posted: 10/14/2026
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HP

Circularity Innovation Engineer

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Posted: 10/14/2026
DataRobot

Deep Learning Research Engineer Intern

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Posted: 10/13/2026
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Thomson Reuters

Research Engineer

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Posted: 10/12/2026
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Sequen

Staff Research Engineer – RRI Harness

Sequen

Posted: 10/9/2026
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Sequen

Staff Research Engineer – Recursive Self-Improvement Lead

Sequen

Posted: 10/9/2026
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Cirrus Logic

Product Teardown Research Engineer

Cirrus Logic

Posted: 10/8/2026
Burq

Staff Machine Learning, Operations Research Engineer

Burq

Posted: 10/8/2026
Thomson Reuters

Manager, Research Engineering

Thomson Reuters

Posted: 10/7/2026
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Mecka

Research Engineer – Simulation, World Models

Mecka
Posted 10/19/2026full-timeUnited StatesMid-LevelSenior💰 $170,000 - $300,000 per yearWebsite
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Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in building and debugging physics-based simulations using platforms like MuJoCo and Isaac Sim, combined with strong reinforcement learning fundamentals and the ability to design controlled experiments for sim-to-real transfer. Proficient in developing scalable tools and infrastructure for robotics and embodied AI research.

Highest-signal resume keywords
Physics-Based SimulationMuJoCoIsaac SimReinforcement LearningPython

Tech Stack

Tools & technologies
PythonC++

About the role

Key responsibilities & impact
  • Build simulation environments modeling robots, sensors, objects, contacts, materials and dynamics
  • Build reliable pipelines for parallel rollouts, synthetic data, policy training and evaluation
  • Calibrate simulations against measured data and improve mismatches in dynamics or sensing
  • Use system identification, domain randomization and controlled experiments to improve sim-to-real transfer
  • Build learned dynamics or latent models and combine them with physics-based systems for prediction, planning and control
  • Turn prototypes into reusable simulation assets, training infrastructure and documented methods with researchers and engineers

Requirements

What you’ll need
  • Deep experience building and debugging physics-based simulation with MuJoCo, Isaac Sim or comparable platforms
  • Strong reinforcement learning and embodied AI fundamentals, including observations, actions, rewards and policy evaluation
  • Experience with learned dynamics, latent world models or hybrid physics-learning systems
  • Strong Python and C++ systems skills
  • Ability to build scalable, reproducible tools other researchers can extend
  • Ability to design controlled experiments, measure sim-to-real gaps and trace failures to models, data, policies or infrastructure
  • Experience with simulation or training infrastructure used at scale by a robotics or embodied AI research team is an advantage
  • Demonstrated sim-to-real transfer is an advantage
  • Published or open-source work in world models, differentiable simulation, GPU-accelerated simulation or model-based reinforcement learning is an advantage

Benefits

Comp & perks
  • Equity
  • Health and wellness benefits
  • Other company programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Physics-Based SimulationReinforcement LearningLearned DynamicsLatent World ModelsPythonC++Controlled ExperimentsSim-To-Real TransferPolicy EvaluationHybrid Physics-Learning Systems
Tools & Technologies
Simulation InfrastructureTraining InfrastructureSynthetic DataPolicy TrainingEvaluation Pipelines
Industry Keywords
Embodied AIRoboticsDomain RandomizationSystem IdentificationGPU-Accelerated Simulation