Hiring: Staff R&D AI Engineer Company: webAI Location: Austin, TX Job Posted Time: 2026-09-16 10:58:56 Employment Type: Full-time Target Skills & Keywords: Vision-Language-Action (VLA) Models, Reinforcement Learning, Computer Vision, NLP, PyTorch, TensorFlow, Transformers, LLM Fine-Tuning, RLHF, Multimodal AI, MLOps, Python, Distributed Training, Model Optimization Experience: - 7+ years of experience in AI/ML engineering - 4+ years focusing on deep learning and neural network development - Hands-on experience training and deploying large-scale models - Experience with distributed training and model optimization - Proven track record of leading technical initiatives and mentoring engineers Required Skills: - Strong understanding of reinforcement learning algorithms and their applications (PPO, SAC, TD3, etc.) - Strong expertise in both computer vision and natural language processing with hands-on model development experience - Proficiency in PyTorch and/or TensorFlow - Experience with transformer architectures, attention mechanisms, and large language model fine-tuning - Hands-on experience with computer vision tasks including object detection, semantic segmentation, and visual tracking - Strong programming skills in Python - Understanding of sequential decision-making and control systems fundamentals - Experience with MLOps practices - Ability to design and develop Vision-Language-Action (VLA) models integrating visual perception, natural language understanding, and action prediction - Experience building and optimizing computer vision pipelines for perception tasks - Experience implementing RLHF systems for model alignment and safety - Ability to create multimodal training pipelines leveraging synthetic and real-world data - Strong collaboration and communication skills for cross-functional engineering integration - Research publication and conference presentation experience is a plus Qualifications: - Deep expertise in both computer vision and large language models - Hands-on experience in reinforcement learning for sequential decision-making, policy learning, and skill acquisition - Experience developing and fine-tuning large language models for instruction following, reasoning, and task planning - Ability to research and prototype novel AI architectures combining vision, language, and action learning - Capability to optimize model inference performance for real-time applications across edge and cloud deployments - Aptitude for staying current with latest research in VLA models, multimodal AI, and robotics - Leadership skills to mentor junior AI engineers and establish best practices for AI model development Compensation: - Not specified in the job posting Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!