Staff R&D AI Engineer
Core
Lead development of Vision-Language-Action (VLA) models, reinforcement learning systems, and multimodal AI integration for real-time edge and cloud applications.
Role type
Staff R&D AI Engineer (Multimodal AI & Robotics)
Builds
Intelligent systems capable of understanding, reasoning, and interacting with complex environments via VLA models and RL.
Domain
Artificial Intelligence, Computer Vision, Natural Language Processing, Robotics, Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement learning algorithms (PPO, SAC, TD3), Computer vision (object detection, segmentation, tracking), Large language model fine-tuning, Transformer architectures, Python, Distributed training, MLOps
Preferred skills
PhD in CS/Robotics/AI, VLA model development, RLHF implementation, Sim-to-real transfer, 3D computer vision, Embodied AI, Top-tier conference publications
Technologies
PyTorch, TensorFlow, DeepSpeed, FairScale, Horovod, AWS, GCP, Azure
Responsibilities
Design and develop VLA models integrating vision, language, and action; Architect and implement RL systems for sequential decision-making; Build and optimize computer vision pipelines; Develop and fine-tune LLMs for reasoning and task planning; Implement RLHF systems; Create multimodal training pipelines; Research and prototype novel AI architectures; Optimize model inference for edge and cloud; Mentor junior engineers; Publish research.
Seniority
Staff, hands-on IC with mentorship responsibilities
