Key Responsibilities
- Develop AI Agents in SimulationImplement and train reinforcement learning agents capable of perceiving and acting within virtual environments.
- Build Human-Centric AgentsIntegratevision-language models (VLMs)to create agents that can understand both images and text, and behave in human-like ways.
- Generate Synthetic DataDevelop tools to generate synthetic data and scenario variations within simulation environments for AI training and evaluation.
- Experiment and EvaluateConduct experiments using state-of-the-art and in-house AI models, analyze performance, and iterate based on findings.
- Test and OptimizeSupport performance benchmarking, debugging, and optimization of models and simulation systems.
- Document and Share KnowledgeClearly document methodologies, results, and learnings in code, reports, or presentations to ensure continuous team learning.
- Collaborate Across TeamsWork closely with engineers, researchers, and other stakeholders on tasks like data preprocessing, model integration, and system deployment.
Required Skills
- EducationMaster's degree in Computer Science, Engineering, AI, or a related field.
- AI/ML ExperienceMinimum 2 years of experience (industry or academic) in AI/ML development.
- Programming SkillsProficient inPython, with hands-on experience using libraries such asPyTorch,OpenCV, andLangChain.
- Technical UnderstandingSolid grasp ofgenerative AIandreinforcement learningprinciples. Familiarity with at least one popular LLM or VLM.
- Team PlayerStrong communication and collaboration skills. Comfortable working in a multidisciplinary environment and sharing knowledge with peers.
- Preferred (Bonus) Skills
- Simulation/Game Engine ExperienceFamiliarity withUnreal Engine, including use ofBlueprintsorC++for interactive simulation development.
- 3D Modeling & Game DesignExperience or interest in 3D modeling, animation, or game design using tools likeBlender,Maya, or similar.
Why Join Us
We are an enthusiastic and innovative team, and joining us means you'll growtremendously as an AI engineer. Here are some reasons this role is great for your development:
Mentorship & GrowthLearn from experienced engineers and domain experts who will support your development and guide your learning journey.
Cutting-Edge ProjectsContribute to simulation systems that apply the latest AI models in real-world contexts, expanding your technical skills and innovation potential.
Supportive Team CultureWork in a friendly, collaborative, and inclusive environment. We embrace continuous learning, curiosity, and shared success.
