AI Engineer

• 3D Gaussian Splatting(3DGS) 및 생성형 AI 기술을 활용한 고정밀 3D 환경 재구성
• AI 모델의 Closed-loop Testing을 위한 시뮬레이션 파이프라인 설계 및 개발
• 차량 동역학 및 운동학 기반의 물리 모델 구현 및 검증
• C++, Python, CUDA 기반의 고성능 시뮬레이션 모듈 개발 및 최적화
• Perception, Planning, Control 알고리즘의 시뮬레이션 환경 통합
• 시뮬레이션 정확도 향상 및 Sim-to-Real Gap 최소화를 위한 연구 및 개발
• Utilize 3D Gaussian Splatting (3DGS) and generative AI technologies to reconstruct high-fidelity 3D environments
• Design and develop scalable simulation pipelines for closed-loop testing of AI models
• Implement and validate physics-based vehicle dynamics and kinematics models
• Develop and optimize high-performance simulation modules using C++, Python, and CUDA
• Integrate perception, planning, and control algorithms into simulation environments
• Research and develop methods to improve simulation fidelity and reduce the Sim-to-Real gap

Senior Physical AI Engineer (Simulation) creating high-fidelity simulation environments for autonomous driving.

Senior Physical AI Engineer – Simulation

Senior Physical AI Engineer (Simulation) creating high-fidelity, physics-based virtual environments for autonomous driving AI agents. Collaborating with perception, planning, and control teams for development.

• 자율주행 데이터를 활용한 Vision-Language-Action 기반 driving foundation model 설계 및 개발
• Camera/video, map, trajectory, action, language 등 multimodal sequential data 기반 모델 학습 및 평가
• Driving scene understanding, temporal reasoning, agent interaction modeling, risk/event understanding 모델 개발
• Scene captioning, visual question answering, auto-labeling, data mining, retrieval 등 VLM 기반 응용 기능 개발
• 대규모 multimodal dataset 구축, 학습 recipe, evaluation benchmark, ablation 실험 설계
• Simulation, Data, ML Platform 조직과 협업하여 모델을 자율주행 시스템에 통합

Senior AI Engineer developing next-gen Driving Foundation Model using multimodal AI.

Senior AI Engineer – Driving VLM/VLA

Senior AI Engineer developing next-generation Driving Foundation Model using real autonomous driving data. Key role in improving autonomous system performance through multimodal AI technologies.

• 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

Senior AI Engineer enhancing autonomous driving decision models at 42dot

Senior AI Engineer – Closed-loop Simulation, RL

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.

• Data preprocessing, model training, and performance validation for end-to-end trajectory generation and decision-making models
• Model-Based Reinforcement Learning (MBRL) and Imitation Learning (IL) algorithm development and optimization
• Integration and validation of motion planning, filtering (e.g., Kalman Filter, Particle Filter), and navigation algorithms
• Support on-device optimization of deep learning models and planning pipelines using CUDA for real-time performance
• Validate AI models and algorithms in simulation and real vehicle environments
• Collaborate with perception, planning, and control teams to develop next-generation physical AI systems

Physical AI Engineer developing next-generation AI models for autonomous driving systems

Physical AI Engineer – Model

Physical AI Engineer developing next-generation end-to-end AI models for autonomous driving systems. Integrating advanced learning techniques to enhance real-world robotic performance.

• 자율주행 시스템 핵심 기술에 대한 설계, 구현, 검증까지 End-to-End 수행
• 실차 데이터 기반 알고리즘/모델 설계 및 검증
• 시뮬레이션 및 실도로 실험을 통한 성능 분석 및 개선
• 연구 결과를 실제 시스템에 적용 가능한 형태로 구현
• 실제 프로덕션 팀과의 긴밀한 협업을 통한 문제 해결

AI Engineering Intern for autonomous vehicle software development.

AI Engineer – MS/PhD Intern

AI Engineering Intern developing autonomous driving technology at 42dot. Engaging in real-world research and development processes for vehicle software.

• Build customer-facing and internal product features end to end.
• Develop web flows, backend APIs, admin tools, dashboards and operational systems.
• Support products across insurance, payments, savings, investing, travel and financial services.
• Work with product, design, mobile and operations teams to launch fast.
• Integrate APIs, handle data flows and improve production reliability.
• Use analytics, feedback and production issues to improve features after launch.
• Help build tools that reduce manual work and improve speed across the business.

Full Stack Software Engineer building products for AI Neobank app

Full Stack Software Engineer – AI Neobank App

Full Stack Software Engineer responsible for building features for BJAK's AI Neobank application. Working across frontend, backend, and tools to deliver rapid product iterations.

• Build AI-powered workflows, assistants, agents and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
• Work with product and engineering teams to turn manual processes into scalable AI-native systems.
• Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
• Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
• Prototype quickly, test with users or operators, then productionize what works.
• Improve speed, quality and consistency across workflows using AI where it creates real business value.

Applied AI Engineer building workflows for BJAK's AI Neobank app

Applied AI Engineer – AI Neobank App

Applied AI Engineer building AI-native systems for BJAK's AI Neobank app. Collaborating with teams to enhance financial services through AI innovations.

• Build and ship Android features using Kotlin.
• Create clean mobile flows for insurance, payments, claims, renewals and financial services.
• Work with product and design to simplify complex user journeys.
• Integrate backend APIs and ensure mobile flows are stable, secure and reliable.
• Improve app performance, crash rate, loading states, responsiveness and memory usage.
• Use analytics, user behaviour and production issues to improve the product.
• Build AI-assisted mobile experiences only where they genuinely improve the user journey.

Android Developer building BJAK's AI Neobank App

Mobile Developer – AI Neobank App

Android Developer building the native Android experience for BJAK's AI Neobank App in Korea. Focus on clean user flows, fast performance, and product quality.

Applied AI Engineer developing AI-native systems for financial services at BJAK

Applied AI Engineer – Finance Super App

Applied AI Engineer developing AI-native systems for BJAK's finance super app. Engaging in building real workflows, improving products, and automating tasks within financial services.

• Build AI-powered product features integrated into real insurance workflows.
• Design and optimize LLM-based interactions across customer and internal systems.
• Develop prompts, reasoning flows, and structured AI outputs for production use cases.
• Evaluate model performance using real-world data, feedback loops, and experiments.
• Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
• Work closely with backend engineers to integrate AI capabilities into APIs and workflows.
• Design and implement AI-driven automation features (chat, recommendations, decision support).
• Analyze user behavior and model responses to continuously improve AI performance.
• Collaborate with product, design, and engineering teams to ship end-to-end AI features.
• Contribute to AI system design decisions focused on usability and real-world impact.

Applied AI Engineer designing AI features for insurance automation.

Applied AI Engineer

Applied AI Engineer designing AI-powered features for insurance automation at BJAK. Collaborating globally to optimize user workflows with AI-driven systems.

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