Senior AI Engineer – Closed-loop Simulation, RL

42dot

Senior AI Engineer enhancing autonomous driving decision models through closed-loop evaluation and reinforcement learning at 42dot. Collaborating with teams to improve model safety and performance.

Posted 7/20/2026full-timePangyo • 🇰🇷 South KoreaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in Reinforcement Learning, simulation, and autonomous driving, with a strong focus on closed-loop evaluation frameworks and model improvement processes. Proficient in developing and analyzing ML models using Python and PyTorch, while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Reinforcement LearningClosed-Loop EvaluationPython DevelopmentSimulation RolloutPolicy Evaluation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Reinforcement LearningImitation LearningPlanningSimulationRoboticsPolicy EvaluationReward ModelingTrajectory PlanningSequential Decision MakingFailure Analysis

Soft Skills

CollaborationLeadership

Tools & Technologies

PythonPyTorchML Pipeline

Industry Keywords

Autonomous DrivingClosed-Loop LearningScenario TestingModel Improvement LoopSafety-Critical Systems

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Driving VLA/World Model/Planning 모델의 closed-loop evaluation framework 설계 및 개발
Log replay, scenario-based simulation, regression test, safety-critical case mining pipeline 구축
RL, offline RL, reward modeling, policy distillation, post-training 기반 driving policy 개선
Simulation rollout, reward function, evaluation metric, failure analysis pipeline 설계 및 운영
Safety, comfort, progress, rule compliance 등 자율주행 품질 지표 정의 및 모델 평가 체계 구축
Counterfactual simulation, synthetic scenario, real-world driving log를 활용한 model improvement loop 개발
VLM/VLA, Data, ML Platform 조직과 협업하여 closed-loop 학습/평가 시스템 통합

Requirements

What you’ll need

Reinforcement Learning, imitation learning, planning, simulation, robotics, autonomous driving 관련 5년 이상의 연구/개발 경험 또는 이에 준하는 역량
Closed-loop evaluation, simulation rollout, scenario testing, policy evaluation 중 하나 이상에 대한 실무 경험
Python 및 PyTorch 기반 ML 모델 학습 또는 evaluation pipeline 개발 경험
RL, reward modeling, trajectory planning, sequential decision making에 대한 이해
모델의 실패 사례를 분석하고 metric, reward, dataset, training recipe 개선으로 연결한 경험
대규모 실험, rollout, evaluation 자동화 및 결과 분석 경험
Research/Engineering 조직과 협업해 모델 개선 loop를 주도적으로 운영할 수 있는 역량

Benefits

Comp & perks

국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.
장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.
3개월의 수습기간이 적용될 수 있습니다.