Applied ML Engineer: Robot Simulation & Sim-to-Real

present of AI; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Antioch provides high-fidelity, cloud-scale physical simulation software to develop and test autonomous robotics systems. The role focuses on hands-on machine learning to align simulations with real hardware, emphasizing applied ML, statistics, and modeling physical systems such as sensors or actuators.

Proficiency in Python data pipelines and evaluation is expected. As part of a fast-moving team, you will assess sim-to-real gaps, calibrate digital twins, and build feedback loops where

Qualifications

• Hands-on ML position with strong applied ML and statistics skills.
• Background modeling physical systems such as sensors or actuators.
• Good Python habits for data pipelines and evaluation.

Job description

Antioch provides high-fidelity, cloud-scale physical simulation software to develop and test autonomous robotics systems. The role focuses on hands-on machine learning to align simulations with real hardware, emphasizing applied ML, statistics, and modeling physical systems such as sensors or actuators.

Proficiency in Python data pipelines and evaluation is expected. As part of a fast-moving team, you will assess sim-to-real gaps, calibrate digital twins, and build feedback loops where